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1 day ago

AWS Deadline Cloud now supports configurable job scheduling modes for queues Today, AWS Deadline Cloud announces support for configurable job scheduling modes, giving you control over how workers are distributed across jobs in a queue. AWS Deadline Cloud is a fully managed service that simplifies render management for computer-generated 2D/3D graphics and visual effects for films, TV shows, commercials, games, and industrial design. Previously, all available workers were assigned to the highest-priority, earliest-submitted job first, which could delay feedback on other submitted jobs. You can now choose from three scheduling modes when creating or updating a queue: priority FIFO (the existing default behavior), priority balanced (workers are distributed evenly across all jobs at the highest priority level), and weighted balanced (jobs are weighted based on configurable parameters including priority, error count, submission time, and rendering task count). Priority balanced and weighted balanced scheduling modes enable artists to get immediate feedback on their submissions without waiting for earlier jobs to complete. Configurable job scheduling modes are available in all AWS Regions where AWS Deadline Cloud is supported. To get started, visit the Deadline Cloud developer guide.

🆕 AWS Deadline Cloud now offers configurable job scheduling modes for queues, allowing priority balanced and weighted balanced options for immediate feedback on submissions without waiting for earlier jobs, enhancing render management for graphics and visual effects.

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1 day ago

AWS Deadline Cloud now supports configurable job scheduling modes for queues Today, AWS Deadline Cloud announces support for configurable job scheduling modes, giving you control over how workers are distributed across jobs in a queue. AWS Deadline Cloud is a fully managed service that simplifies render management for computer-generated 2D/3D graphics and visual effects for films, TV shows, commercials, games, and industrial design. Previously, all available workers were assigned to the highest-priority, earliest-submitted job first, which could delay feedback on other submitted jobs. You can now choose from three scheduling modes when creating or updating a queue: priority FIFO (the existing default behavior), priority balanced (workers are distributed evenly across all jobs at the highest priority level), and weighted balanced (jobs are weighted based on configurable parameters including priority, error count, submission time, and rendering task count). Priority balanced and weighted balanced scheduling modes enable artists to get immediate feedback on their submissions without waiting for earlier jobs to complete. Configurable job scheduling modes are available in all AWS Regions where AWS Deadline Cloud is supported. To get started, visit the https://docs.aws.amazon.com/deadline-cloud/latest/developerguide/build-jobs-scheduling.html.

AWS Deadline Cloud now supports configurable job scheduling modes for queues

Today, AWS Deadline Cloud announces support for configurable job scheduling modes, giving you control over how workers are distributed across jobs in a queue. AWS Deadline Cloud is a fully mana...

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3 days ago

AWS Deadline Cloud now supports new fleet scaling configurations for render farms Today, AWS Deadline Cloud introduces three powerful new fleet scaling options that give you greater flexibility in managing your render farm capacity and performance: worker idle duration, standby worker count, and scale out rate. AWS Deadline Cloud is a fully managed service that helps creative teams efficiently manage and scale their rendering workloads in the cloud. These new options give you direct control over balancing rendering speed and efficiency. Configurable worker idle duration allows you to specify how long workers remain available after completing a job, eliminating wait times between job submissions and speeding up artist’s iteration workflow. Standby worker count maintains a pool of pre-warmed, idle workers that are immediately available at job submission so your renders start right away. Scale out rate lets you configure how quickly your fleet scales, up to 500 workers per minute, giving you the control you need to match your infrastructure needs. These flexible scaling controls are now available in AWS Deadline Cloud. To learn more, visit the AWS Deadline Cloud documentation.

🆕 AWS Deadline Cloud adds three fleet scaling options: worker idle duration, standby count, and scale out rate for improved render farm management, boosting speed and efficiency for quicker iterations and instant starts. Available now.

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3 days ago

AWS Deadline Cloud now supports new fleet scaling configurations for render farms Today, AWS Deadline Cloud introduces three powerful new fleet scaling options that give you greater flexibility in managing your render farm capacity and performance: worker idle duration, standby worker count, and scale out rate. AWS Deadline Cloud is a fully managed service that helps creative teams efficiently manage and scale their rendering workloads in the cloud. These new options give you direct control over balancing rendering speed and efficiency. Configurable worker idle duration allows you to specify how long workers remain available after completing a job, eliminating wait times between job submissions and speeding up artist’s iteration workflow. Standby worker count maintains a pool of pre-warmed, idle workers that are immediately available at job submission so your renders start right away. Scale out rate lets you configure how quickly your fleet scales, up to 500 workers per minute, giving you the control you need to match your infrastructure needs. These flexible scaling controls are now available in AWS Deadline Cloud. To learn more, visit the https://docs.aws.amazon.com/deadline-cloud/latest/userguide/auto-scaling-configuration.html.

AWS Deadline Cloud now supports new fleet scaling configurations for render farms

Today, AWS Deadline Cloud introduces three powerful new fleet scaling options that give you greater flexibility in managing your render farm capacity and performance: worker idle duration,...

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1 month ago

AWS Deadline Cloud now supports running tasks together in chunks Today, AWS Deadline Cloud announces support for grouping tasks into chunks to efficiently execute multiple tasks together. AWS Deadline Cloud is a fully managed service that simplifies render management for computer-generated 2D/3D graphics and visual effects for films, TV shows, commercials, games, and industrial design. When your job has short tasks, or tasks that need to run in an environment with a long startup time, chunking them together for execution reduces the time and cost for completing the job. When creating a job, you can now manually specify a chunk size for the number tasks to group together for execution, or alternately specify a target run time for the execution of a chunk of tasks. The target run time will be used to dynamically change the number of tasks grouped together as the job completes to improve execution efficiency and achieve the target run time. Running tasks together in chunks is now available in all AWS Regions where AWS Deadline Cloud is supported. To get started, visit the Deadline Cloud developer guide.

🆕 AWS Deadline Cloud now runs tasks in chunks for better efficiency, reducing time and cost. Available everywhere, it offers manual or dynamic chunk sizes. Check the Deadline Cloud guide to get started.

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1 month ago

AWS Deadline Cloud now supports running tasks together in chunks Today, AWS Deadline Cloud announces support for grouping tasks into chunks to efficiently execute multiple tasks together. AWS Deadline Cloud is a fully managed service that simplifies render management for computer-generated 2D/3D graphics and visual effects for films, TV shows, commercials, games, and industrial design. When your job has short tasks, or tasks that need to run in an environment with a long startup time, chunking them together for execution reduces the time and cost for completing the job. When creating a job, you can now manually specify a chunk size for the number tasks to group together for execution, or alternately specify a target run time for the execution of a chunk of tasks. The target run time will be used to dynamically change the number of tasks grouped together as the job completes to improve execution efficiency and achieve the target run time. Running tasks together in chunks is now available in all AWS Regions where AWS Deadline Cloud is supported. To get started, visit the https://docs.aws.amazon.com/deadline-cloud/latest/developerguide/build-job-bundle-chunking.html

AWS Deadline Cloud now supports running tasks together in chunks

Today, AWS Deadline Cloud announces support for grouping tasks into chunks to efficiently execute multiple tasks together. AWS Deadline Cloud is a fully managed service that simplifies render management fo...

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2 months ago

AWS Deadline Cloud now supports editing job name and description AWS Deadline Cloud now supports editing job names and descriptions after submission. This new feature makes it easier to organize and identify jobs after submission by updating names or adding useful tracking details in the description field. Job names and descriptions are critical metadata for organizing and understanding between users and projects, often tracking things like shot and sequence number across systems. Previously they could only be set at job creation during submission, being able to edit them after submission allows you to fix issues in naming as well as add key tracking information to the job description for other users. You can edit job names and descriptions using the AWS SDK, Deadline client, and Deadline Monitor. To learn more see the https://docs.aws.amazon.com/deadline-cloud/latest/userguide/jobs-monitoring.html.

AWS Deadline Cloud now supports editing job name and description

AWS Deadline Cloud now supports editing job names and descriptions after submission. This new feature makes it easier to organize and identify jobs after submission by updating names or adding useful track...

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2 months ago

AWS Deadline Cloud now supports editing job name and description AWS Deadline Cloud now supports editing job names and descriptions after submission. This new feature makes it easier to organize and identify jobs after submission by updating names or adding useful tracking details in the description field. Job names and descriptions are critical metadata for organizing and understanding between users and projects, often tracking things like shot and sequence number across systems. Previously they could only be set at job creation during submission, being able to edit them after submission allows you to fix issues in naming as well as add key tracking information to the job description for other users. You can edit job names and descriptions using the AWS SDK, Deadline client, and Deadline Monitor. To learn more see the AWS Deadline Cloud documentation.

🆕 AWS Deadline Cloud now allows editing job names and descriptions post-submission for better organization and tracking. Previously set only at creation, this new feature aids in fixing naming issues and adding key details via AWS SDK, Deadline client, and Deadline Monitor.

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2 months ago

AWS Deadline Cloud now supports machine learning training using Foundry Nuke CopyCat Today, AWS Deadline Cloud announces integration with Foundry Nuke CopyCat, allowing you to run machine learning training jobs for visual effects in the cloud. AWS Deadline Cloud is a fully managed service that simplifies render management for computer-generated 2D/3D graphics and visual effects for films, TV shows, commercials, games, and industrial design. CopyCat learns visual effects, such as color corrections, beauty finishes, or deblurring, from a set of adjusted frames and automatically applies these adjustments across entire sequences. Instead of cleaning up frames one by one, you can fix a handful of representative frames and CopyCat will automatically apply these changes to the rest of your footage, saving you significant amounts of valuable time. With this integration, you can now train models by submitting CopyCat training jobs directly to your Deadline Cloud render farm. This gives you the ability to scale and run multiple training workloads in parallel while freeing up your artist workstations for creative work. You can monitor and track training jobs alongside other render jobs through the Deadline Cloud interface for one simple view across an entire project. AWS Deadline Cloud with Nuke CopyCat integration is available in all AWS Regions where AWS Deadline Cloud is supported. To get started, visit our https://aws-deadline.github.io/nuke/using-submitter/copycat-submissions/

AWS Deadline Cloud now supports machine learning training using Foundry Nuke CopyCat

Today, AWS Deadline Cloud announces integration with Foundry Nuke CopyCat, allowing you to run machine learning training jobs for visual effects in the cloud. AWS Deadline Cloud is a fu...

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2 months ago

AWS Deadline Cloud now supports machine learning training using Foundry Nuke CopyCat Today, AWS Deadline Cloud announces integration with Foundry Nuke CopyCat, allowing you to run machine learning training jobs for visual effects in the cloud. AWS Deadline Cloud is a fully managed service that simplifies render management for computer-generated 2D/3D graphics and visual effects for films, TV shows, commercials, games, and industrial design. CopyCat learns visual effects, such as color corrections, beauty finishes, or deblurring, from a set of adjusted frames and automatically applies these adjustments across entire sequences. Instead of cleaning up frames one by one, you can fix a handful of representative frames and CopyCat will automatically apply these changes to the rest of your footage, saving you significant amounts of valuable time. With this integration, you can now train models by submitting CopyCat training jobs directly to your Deadline Cloud render farm. This gives you the ability to scale and run multiple training workloads in parallel while freeing up your artist workstations for creative work. You can monitor and track training jobs alongside other render jobs through the Deadline Cloud interface for one simple view across an entire project. AWS Deadline Cloud with Nuke CopyCat integration is available in all AWS Regions where AWS Deadline Cloud is supported. To get started, visit our CopyCat integration user guide.

🆕 AWS Deadline Cloud now supports machine learning training with Foundry Nuke CopyCat for scalable visual effects. CopyCat automates adjustments, saving time. Train models, scale workloads, and monitor jobs in one interface across all supported AWS Regions.

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2 months ago

AWS Deadline Cloud now supports direct job submission from the Deadline Cloud Monitor AWS Deadline Cloud now lets you submit rendering jobs directly from the Deadline Cloud Monitor desktop application. This new feature makes it easier to submit renders for applications that don’t have built-in Deadline Cloud plugins or submission scripts, expanding compatibility with content creation tools and streamlining your rendering workflows. Previously, you needed the command line interface (CLI) to submit job bundles. With this update, you can submit job bundles directly from Deadline Cloud Monitor desktop interface, managing jobs from start to finish in one place. It is particularly useful for legacy applications, specialized rendering tools, or custom workflows that lack built-in Deadline Cloud integration. To access direct job submission, download the latest Deadline Cloud Monitor desktop application (version 1.1.7) in thehttps://console.aws.amazon.com/deadlinecloud/home?useDefaultRegion=true#/downloads. To learn more about AWS Deadline Cloud job submission capabilities, see the https://docs.aws.amazon.com/deadline-cloud/latest/userguide/submit-job-bundle-monitor.html

AWS Deadline Cloud now supports direct job submission from the Deadline Cloud Monitor

AWS Deadline Cloud now lets you submit rendering jobs directly from the Deadline Cloud Monitor desktop application. This new feature makes it easier to submit renders for applications ...

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3 months ago

AWS Deadline Cloud now supports direct job submission from the Deadline Cloud Monitor AWS Deadline Cloud now lets you submit rendering jobs directly from the Deadline Cloud Monitor desktop application. This new feature makes it easier to submit renders for applications that don’t have built-in Deadline Cloud plugins or submission scripts, expanding compatibility with content creation tools and streamlining your rendering workflows. Previously, you needed the command line interface (CLI) to submit job bundles. With this update, you can submit job bundles directly from Deadline Cloud Monitor desktop interface, managing jobs from start to finish in one place. It is particularly useful for legacy applications, specialized rendering tools, or custom workflows that lack built-in Deadline Cloud integration. To access direct job submission, download the latest Deadline Cloud Monitor desktop application (version 1.1.7) in thehttps://console.aws.amazon.com/deadlinecloud/home?useDefaultRegion=true#/downloads. To learn more about AWS Deadline Cloud job submission capabilities, see the https://docs.aws.amazon.com/deadline-cloud/latest/userguide/submit-job-bundle-monitor.html

AWS Deadline Cloud now supports direct job submission from the Deadline Cloud Monitor

AWS Deadline Cloud now lets you submit rendering jobs directly from the Deadline Cloud Monitor desktop application. This new feature makes it easier to submit renders for applications ...

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3 months ago

AWS Deadline Cloud now supports direct job submission from the Deadline Cloud Monitor AWS Deadline Cloud now lets you submit rendering jobs directly from the Deadline Cloud Monitor desktop application. This new feature makes it easier to submit renders for applications that don’t have built-in Deadline Cloud plugins or submission scripts, expanding compatibility with content creation tools and streamlining your rendering workflows. Previously, you needed the command line interface (CLI) to submit job bundles. With this update, you can submit job bundles directly from Deadline Cloud Monitor desktop interface, managing jobs from start to finish in one place. It is particularly useful for legacy applications, specialized rendering tools, or custom workflows that lack built-in Deadline Cloud integration. To access direct job submission, download the latest Deadline Cloud Monitor desktop application (version 1.1.7) in the AWS Console. To learn more about AWS Deadline Cloud job submission capabilities, see the AWS Deadline Cloud documentation.

🆕 AWS Deadline Cloud now supports direct job submission from the Deadline Cloud Monitor, making it easier to manage renders without built-in plugins, streamlining workflows, and accessible via the latest desktop app (v1.1.7).

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4 months ago

Deep Dive into Farm, Fleet and Queue Features of AWS Deadline Cloud “ I have checked the documents of AWS to deep dive into farm, fleet and queue features of aws...

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Deep Dive into Farm, Fleet and Queue Features of AWS Deadline Cloud

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4 months ago

Deadline Cloud expands support with latest 6th, 7th, and 8th generation instances AWS announces expanded instance family support in Deadline Cloud, adding new 6th, 7th, and 8th generation EC2 instances to enhance visual effects and animation rendering workloads. This release includes support for C7i, C7a, M7i, M7a, R7a, R7i, M8a, M8i, and R8i instance families, along with additional 6th generation instance types that were previously unavailable. Deadline Cloud is a fully managed service that helps customers run visual compute workloads in the cloud without having to manage infrastructure. With this enhancement, studios can utilize a broader range of AWS compute technology to optimize their rendering workflows. The compute-optimized (C-series), general-purpose (M-series), and memory-optimized (R-series) instances provide tailored options for different rendering workloads - from compute-intensive simulations to memory-heavy scene processing. The inclusion of latest-generation instances like M8a and R8i enables customers to access improved performance and efficiency for their most demanding rendering tasks. These instance families are available in all 10 AWS Regions where Deadline Cloud is offered. The specific instance types available in each Region depend on the regional availability of the EC2 instance types themselves. To learn more about the new instance types supported in Deadline Cloud and their regional availability, see the https://aws.amazon.com/deadline-cloud/pricing/.

Deadline Cloud expands support with latest 6th, 7th, and 8th generation instances

AWS announces expanded instance family support in Deadline Cloud, adding new 6th, 7th, and 8th generation EC2 instances to enhance visual effects and animation rendering workloads. This re...

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4 months ago

Deadline Cloud expands support with latest 6th, 7th, and 8th generation instances AWS announces expanded instance family support in Deadline Cloud, adding new 6th, 7th, and 8th generation EC2 instances to enhance visual effects and animation rendering workloads. This release includes support for C7i, C7a, M7i, M7a, R7a, R7i, M8a, M8i, and R8i instance families, along with additional 6th generation instance types that were previously unavailable. Deadline Cloud is a fully managed service that helps customers run visual compute workloads in the cloud without having to manage infrastructure. With this enhancement, studios can utilize a broader range of AWS compute technology to optimize their rendering workflows. The compute-optimized (C-series), general-purpose (M-series), and memory-optimized (R-series) instances provide tailored options for different rendering workloads - from compute-intensive simulations to memory-heavy scene processing. The inclusion of latest-generation instances like M8a and R8i enables customers to access improved performance and efficiency for their most demanding rendering tasks. These instance families are available in all 10 AWS Regions where Deadline Cloud is offered. The specific instance types available in each Region depend on the regional availability of the EC2 instance types themselves. To learn more about the new instance types supported in Deadline Cloud and their regional availability, see the AWS Deadline Cloud pricing page.

🆕 AWS expands Deadline Cloud support with 6th, 7th, and 8th gen EC2 instances (C7i, C7a, M7i, M7a, R7a, R7i, M8a, M8i, R8i) to optimize visual effects rendering, available in 10 regions.

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6 months ago

Deadline Cloud is now available in Asia Pacific (Seoul) and Europe (London) We are excited to announce that AWS Deadline Cloud is now available in Asia Pacific (Seoul) and Europe (London). Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects for films, television, broadcasting, web content, and design. Customers can now use Deadline Cloud to scale their render farms in regions that are close to their creative teams, enabling better integration with existing AWS services and creative pipelines. Deadline Cloud is now available in 10 AWS regions worldwide: US East (N. Virginia and Ohio), US West (Oregon), Asia Pacific (Seoul, Singapore, Sydney and Tokyo), and Europe (Frankfurt, Ireland, and London). For more information about AWS Regions and where Deadline Cloud is available, see the AWS Region table. To learn more about AWS Deadline Cloud and its regional availability, visit the https://aws.amazon.com/deadline-cloud/ or refer to the https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/.

Deadline Cloud is now available in Asia Pacific (Seoul) and Europe (London)

We are excited to announce that AWS Deadline Cloud is now available in Asia Pacific (Seoul) and Europe (London). Deadline Cloud is a fully managed service that simplifies render management for t...

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6 months ago

Deadline Cloud is now available in Asia Pacific (Seoul) and Europe (London) We are excited to announce that AWS Deadline Cloud is now available in Asia Pacific (Seoul) and Europe (London). Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects for films, television, broadcasting, web content, and design. Customers can now use Deadline Cloud to scale their render farms in regions that are close to their creative teams, enabling better integration with existing AWS services and creative pipelines. Deadline Cloud is now available in 10 AWS regions worldwide: US East (N. Virginia and Ohio), US West (Oregon), Asia Pacific (Seoul, Singapore, Sydney and Tokyo), and Europe (Frankfurt, Ireland, and London). For more information about AWS Regions and where Deadline Cloud is available, see the AWS Region table. To learn more about AWS Deadline Cloud and its regional availability, visit the AWS Deadline Cloud product page or refer to the AWS Regional Services List.

🆕 AWS Deadline Cloud now available in Asia Pacific (Seoul) and Europe (London) for better render management and integration with creative teams. Available in 10 AWS regions globally. For details, visit AWS Deadline Cloud product page.

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7 months ago

AWS Deadline Cloud Now Supports Automating Job Attachments Downloads AWS Deadline Cloud now supports automating job attachments output downloads with new functionality available in the Deadline Cloud client. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, for films, television and broadcasting, web content, and design. The Deadline Cloud job attachments feature makes it easy to synchronize assets from the workstation where you make them to the workers in your render farm by uploading them to Amazon S3. It also automatically identifies any output files generated during task execution and stores them back to S3. The new Deadline Cloud client command downloads all outputs for completed jobs from a provided queue, and can be invoked on a schedule, using tools like cron or task scheduler, to automatically download the outputs from all jobs as they complete. The outputs are downloaded to the local paths specified during job creation for final review. For more information, please visit the https://aws.amazon.com/deadline-cloud/ and our https://docs.aws.amazon.com/deadline-cloud/latest/userguide/auto-downloads.html.

AWS Deadline Cloud Now Supports Automating Job Attachments Downloads

AWS Deadline Cloud now supports automating job attachments output downloads with new functionality available in the Deadline Cloud client. AWS Deadline Cloud is a fully managed service that simplifies...

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7 months ago

AWS Deadline Cloud Now Supports Automating Job Attachments Downloads AWS Deadline Cloud now supports automating job attachments output downloads with new functionality available in the Deadline Cloud client. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, for films, television and broadcasting, web content, and design. The Deadline Cloud job attachments feature makes it easy to synchronize assets from the workstation where you make them to the workers in your render farm by uploading them to Amazon S3. It also automatically identifies any output files generated during task execution and stores them back to S3. The new Deadline Cloud client command downloads all outputs for completed jobs from a provided queue, and can be invoked on a schedule, using tools like cron or task scheduler, to automatically download the outputs from all jobs as they complete. The outputs are downloaded to the local paths specified during job creation for final review. For more information, please visit the Deadline Cloud product page and our AWS Deadline Cloud documentation.

🆕 AWS Deadline Cloud now automates job attachments downloads, simplifying asset synchronization and output file management via Amazon S3, with new client commands for scheduled downloads.

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7 months ago

AWS Deadline Cloud now supports Cinema 4D and Redshift on Linux service-managed fleets Starting today, AWS Deadline Cloud supports running Maxon Cinema 4D and Redshift render jobs on Linux service-managed fleets. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, for films, television and broadcasting, web content, and design. Previously available only on Windows fleets, you can now run Cinema 4D and Redshift jobs on Linux service-managed fleets reducing the compute costs for workers. AWS Deadline Cloud automatically handles the provisioning and elastic scaling of compute resources required for rendering your Cinema 4D and Redshift projects. Service-managed fleets can be configured in minutes so you can begin rendering immediately. Cinema 4D and Redshift is available on Linux service-managed fleets in all AWS regions where AWS Deadline Cloud is currently offered. To learn more about AWS Deadline Cloud visit the https://docs.aws.amazon.com/deadline-cloud/latest/userguide/what-is-deadline-cloud.html.

AWS Deadline Cloud now supports Cinema 4D and Redshift on Linux service-managed fleets

Starting today, AWS Deadline Cloud supports running Maxon Cinema 4D and Redshift render jobs on Linux service-managed fleets. AWS Deadline Cloud is a fully managed service that simpli...

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7 months ago

AWS Deadline Cloud now supports Cinema 4D and Redshift on Linux service-managed fleets Starting today, AWS Deadline Cloud supports running Maxon Cinema 4D and Redshift render jobs on Linux service-managed fleets. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, for films, television and broadcasting, web content, and design. Previously available only on Windows fleets, you can now run Cinema 4D and Redshift jobs on Linux service-managed fleets reducing the compute costs for workers. AWS Deadline Cloud automatically handles the provisioning and elastic scaling of compute resources required for rendering your Cinema 4D and Redshift projects. Service-managed fleets can be configured in minutes so you can begin rendering immediately. Cinema 4D and Redshift is available on Linux service-managed fleets in all AWS regions where AWS Deadline Cloud is currently offered. To learn more about AWS Deadline Cloud visit the AWS Deadline Cloud documentation.

🆕 AWS Deadline Cloud now supports Cinema 4D and Redshift on Linux service-managed fleets, reducing compute costs and simplifying render management for graphics and visual effects. Available in all regions where AWS Deadline Cloud is offered.

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9 months ago

AWS Deadline Cloud now supports worker performance monitoring AWS Deadline Cloud monitor now includes a worker dashboard that makes it easy to monitor the performance of your workers. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects for films, television, broadcasting, web content, and design. Understanding the CPU and memory usage of workers in a render farm is critical to ensuring efficient resource usage and rapidly troubleshooting issues. When renders are taking longer than expected, the worker dashboard helps determine if your instances are adequately sized for your workloads. Even when tasks are completing successfully, there may be opportunities to optimize your costs. The worker dashboard can reveal if you're using larger instances than your workloads require. Worker dashboard for AWS Deadline Cloud Monitor is available in all AWS Regions where the service is offered. To learn more about AWS Deadline Cloud worker dashboard see the AWS Deadline Cloud documentation.

🆕 AWS Deadline Cloud now supports worker performance monitoring via a dashboard, aiding in resource efficiency and troubleshooting in render farms. Available in all regions, it helps optimize instance sizing for cost-effective rendering.

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9 months ago

AWS Deadline Cloud now supports worker performance monitoring AWS Deadline Cloud monitor now includes a worker dashboard that makes it easy to monitor the performance of your workers. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects for films, television, broadcasting, web content, and design. Understanding the CPU and memory usage of workers in a render farm is critical to ensuring efficient resource usage and rapidly troubleshooting issues. When renders are taking longer than expected, the worker dashboard helps determine if your instances are adequately sized for your workloads. Even when tasks are completing successfully, there may be opportunities to optimize your costs. The worker dashboard can reveal if you're using larger instances than your workloads require. Worker dashboard for AWS Deadline Cloud Monitor is available in all AWS Regions where the service is offered. To learn more about AWS Deadline Cloud worker dashboard see the https://docs.aws.amazon.com/deadline-cloud/latest/userguide/view-worker-dashboard.html.

AWS Deadline Cloud now supports worker performance monitoring

AWS Deadline Cloud monitor now includes a worker dashboard that makes it easy to monitor the performance of your workers. AWS Deadline Cloud is a fully managed service that simplifies render management for te...

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10 months ago

AWS Deadline Cloud Monitor now supports multiple languages AWS Deadline Cloud Monitor now supports multiple languages, allowing you to view critical job information using an expanded selection of languages. Supported languages include Chinese (Traditional), Chinese (Simplified), English, French, German, Indonesian, Italian, Japanese, Korean, Portuguese (Brazil), and Turkish. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects for films, television, broadcasting, web content, and design. This new localization feature gives you the ability to manage and monitor information about rendering jobs in your preferred language, reducing complexity and improving workflow efficiency. The Deadline Cloud Monitor will automatically match your system languages used in both the desktop and web application, but can also be manually configured. Multi-language support for AWS Deadline Cloud Monitor is available in all AWS Regions where the service is offered. To learn more about AWS Deadline Cloud Monitor and its new localization feature, see the https://docs.aws.amazon.com/deadline-cloud/latest/userguide/open-deadline-cloud-monitor.html.

AWS Deadline Cloud Monitor now supports multiple languages

AWS Deadline Cloud Monitor now supports multiple languages, allowing you to view critical job information using an expanded selection of languages. Supported languages include Chinese (Traditional), Chinese (Sim...

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10 months ago

AWS Deadline Cloud Monitor now supports multiple languages AWS Deadline Cloud Monitor now supports multiple languages, allowing you to view critical job information using an expanded selection of languages. Supported languages include Chinese (Traditional), Chinese (Simplified), English, French, German, Indonesian, Italian, Japanese, Korean, Portuguese (Brazil), and Turkish. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects for films, television, broadcasting, web content, and design. This new localization feature gives you the ability to manage and monitor information about rendering jobs in your preferred language, reducing complexity and improving workflow efficiency. The Deadline Cloud Monitor will automatically match your system languages used in both the desktop and web application, but can also be manually configured. Multi-language support for AWS Deadline Cloud Monitor is available in all AWS Regions where the service is offered. To learn more about AWS Deadline Cloud Monitor and its new localization feature, see the AWS Deadline Cloud documentation.

🆕 AWS Deadline Cloud Monitor now supports multiple languages, including Chinese, English, French, German, Indonesian, Italian, Japanese, Korean, Portuguese, and Turkish, enhancing job info accessibility and workflow efficiency. Available in all AWS regions.

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10 months ago

AWS Deadline Cloud now supports Foundry Nuke version 16 Starting today, AWS Deadline Cloud will support the latest version of Foundry Nuke, a powerful compositing tool widely used for visual effects and post-production workflows. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, for films, television and broadcasting, web content, and design. With support for Nuke version 16, you can access the latest improvements for Nuke while leveraging AWS Deadline Cloud's managed infrastructure for your rendering pipelines, giving you the ability to create high-quality content using cutting-edge compositing features. This new version is now available in all AWS regions where AWS Deadline Cloud is currently offered. To learn more about AWS Deadline Cloud and how to leverage Nuke version 16 in your workflows, visit the https://docs.aws.amazon.com/deadline-cloud/latest/userguide/supported-submitters.html.

AWS Deadline Cloud now supports Foundry Nuke version 16

Starting today, AWS Deadline Cloud will support the latest version of Foundry Nuke, a powerful compositing tool widely used for visual effects and post-production workflows. AWS Deadline Cloud is a fully managed se...

#AWS #AwsDeadlineCloud

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@awsrecentnews.bsky.social

10 months ago

AWS Deadline Cloud now supports Foundry Nuke version 16 Starting today, AWS Deadline Cloud will support the latest version of Foundry Nuke, a powerful compositing tool widely used for visual effects and post-production workflows. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, for films, television and broadcasting, web content, and design. With support for Nuke version 16, you can access the latest improvements for Nuke while leveraging AWS Deadline Cloud's managed infrastructure for your rendering pipelines, giving you the ability to create high-quality content using cutting-edge compositing features. This new version is now available in all AWS regions where AWS Deadline Cloud is currently offered. To learn more about AWS Deadline Cloud and how to leverage Nuke version 16 in your workflows, visit the AWS Deadline Cloud documentation.

🆕 AWS Deadline Cloud now supports Foundry Nuke v16, providing teams with the latest compositing tool updates for visual effects and post-production, utilizing AWS's managed infrastructure for efficient rendering. Available globally.

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AWS News(Unofficial)

@awsnews.bsky.social

10 months ago

AWS Deadline Cloud service-managed fleets now support configuration scripts AWS Deadline Cloud now supports specifying a configuration script on both Linux and Windows service-managed fleets. The provided configuration script will be run with elevated privileges on each worker. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, for films, television and broadcasting, web content, and design. Configuration scripts make it easy to install additional software, like plugins and dependencies, on a worker in a service-managed fleet as part of customizing the job environment. Configuration scripts can also be used to install telemetry collectors for monitoring, and tools like Docker for running containers on service-managed fleets. Configuration scripts for service-managed fleets are available in all https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ where Deadline Cloud is available. To learn more about configuration scripts, visit the https://docs.aws.amazon.com/deadline-cloud/latest/developerguide/smf-admin.html.

AWS Deadline Cloud service-managed fleets now support configuration scripts

AWS Deadline Cloud now supports specifying a configuration script on both Linux and Windows service-managed fleets. The provided configuration script will be run with elevated privileges on each...

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AWS News Feed on 🦋

@awsrecentnews.bsky.social

10 months ago

AWS Deadline Cloud service-managed fleets now support configuration scripts AWS Deadline Cloud now supports specifying a configuration script on both Linux and Windows service-managed fleets. The provided configuration script will be run with elevated privileges on each worker. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, for films, television and broadcasting, web content, and design. Configuration scripts make it easy to install additional software, like plugins and dependencies, on a worker in a service-managed fleet as part of customizing the job environment. Configuration scripts can also be used to install telemetry collectors for monitoring, and tools like Docker for running containers on service-managed fleets. Configuration scripts for service-managed fleets are available in all AWS Regions where Deadline Cloud is available. To learn more about configuration scripts, visit the AWS Deadline Cloud documentation.

🆕 AWS Deadline Cloud now supports configuration scripts for Linux and Windows service-managed fleets, enabling easy installation of software, plugins, and monitoring tools, available in all regions where Deadline Cloud operates.

#AWS #AwsDeadlineCloud

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