The Post-GTC GPU Market Shift: When to Liquidate H100, H200 and Blackwell Assets Liquidate H100, H200, and Blackwell GPUs at peak market value. Prepare for NVIDIA’s Vera Rubin platform with our B2B strategy for maximizing capital velocity.

While H100 and Blackwell GPUs remain key workhorses, secondary-market demand for current-gen accelerators has reached a unique inflection point...

www.buysellram.com/blog/the-pos...

#NVIDIA #TechStrategy #DataCenter #GPU #GraphicsCard #GPULiquidation #H100 #H200

Big Battlemage Is Here - Intel Unveils Arc Pro B70 & B65 GPUs, Up To 32 GB Memory & 367 TOPS For AI Intel has finally unveiled its "Big Battlemage" GPUs, the Arc Pro B70 & Arc Pro B65, with up to 32 GB of memory for AI & Pro workloads.

Intel’s long-awaited “Big Battlemage” GPU has finally arrived as the Arc Pro B70 and B65...
wccftech.com/big-battlema...

#Intel #IntelArc #Battlemage #GPU #AIHardware #WorkstationGPU #GDDR6 #GraphicsCard #TechNews #Semiconductors

New Rowhammer attacks give complete control of machines running Nvidia GPUs GDDRHammer, GeForge and GPUBreach hammer GPU memory in ways that hijack the CPU.

Exploit targets Nvidia GPU DRAM
from Dan Goodin:
New Rowhammer attacks give complete control of machines running Nvidia GPUs
arstechnica.com/security/202...

8-Bit Quantization Destroyed 92% of Code Generation — The Culprit Wasn't Bit Count 8-Bit Quantization Destroyed 92% of Code Generation — The Culprit Wasn't Bit Count If you...

8-Bit Quantization Destroyed 92% of Code Generation — The Culprit Wasn't Bit Count 8-Bit Quantization Destroyed 92% of Code Generation — The Culprit Wasn't Bit Count If you run local LL...

#ai #llm #machinelearning #gpu

Origin | Interest | Match

Designing for the AI Era: The New Realities of Data Center Infrastructure To keep pace with AI and high‑density computing, data centers must embrace hybrid cooling architectures, prepare for HVDC ecosystems, and rethink supply‑chain and grid dependencies...

Tom Carroll (ebm-papst) in DCF Voices of the Industry:
AI is collapsing data center design into one problem: power, cooling, supply chain. Hybrid cooling is here.
Every watt saved = more compute.

www.datacenterfrontier.com/sponsored/ar...

#datacenters #AIinfrastructure #LLM #GPU #cloud #inference

Google Announces Gemma 4 Open AI Models, Switches To Apache 2.0 License Google is releasing Gemma 4, an update to its open-weight AI models, addressing developer demands for more freedom. The new Gemma 4 models come in four sizes, all optimized for local usage on various devices. Two larger variants, 26B Mixture of Experts and 31B Dense, are designed to run on high-end GPUs, with potential for quantization to fit consumer hardware. Google has prioritized reducing latency, enabling faster inference for the 26B model by activating only a fraction of its parameters. The 31B Dense model is geared towards higher quality and fine-tuning for specific applications. Two smaller models, Effective 2B and Effective 4B, are targeted for mobile devices and embedded systems. These models boast low memory usage and near-zero latency, benefiting from collaboration with mobile chip manufacturers. Crucially, Google is replacing the custom Gemma license with the permissive Apache 2.0 license. This change removes commercial restrictions and grants developers greater control over their AI projects. Industry leaders view this move as a significant step that will foster broader adoption and innovation within the Gemma ecosystem.

Google Announces Gemma 4 Open AI Models, Switches To Apache 2.0 License

Google is releasing Gemma 4, an update to its open-weight AI models, addressing developer demands for more freedom. The new Gemma 4 models come in four sizes, all optimized for local usage on…

Telegram AI Digest
#ai #gpu #news

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#Gigabyte #AORUS #RTX5080 #GPU #Watercooling #PCGaming #Oferta #Publi

XFX RX 7900XT MBA Edition 20GB (RX-79TMBABF9) : Amazon.es: Informática Compra online XFX RX 7900XT MBA Edition 20GB (RX-79TMBABF9). Envío en 1 día GRATIS con Amazon Prime.

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#XFX #RX7900XT #GPU #TarjetaGrafica #PCGaming #Hardware #Oferta #Publi

Anyone knows what is the FP64 performance of the Battlemage Pro #GPU cards that #Intel just released?

Anyone knows what is the FP64 performance of the Battlemage Pro #GPU cards that #Intel just released?

Anyone knows what is the FP64 performance of the Battlemage Pro #GPU cards that #Intel just released?

Deal: This 16GB VRAM variant of Nvidia RTX 5060 Ti GPU is great for 1080p & 1440p gaming If you are 1080p and 1440p gamer and want to spend around $500 for a desktop gaming GPU, this Nvidia RTX 5060 Ti with 16GB VRAM is a nice offer.

If you are 1080p and 1440p gamer and want to spend around $500 for a desktop gaming GPU, this Nvidia RTX 5060 Ti with 16GB VRAM is a nice offer. #Nvidia #RTXon #GPU #TechDeals

Well i have learned a very expensive lesson lol liquid metal is not worth the risk involved luckily my RTX 2060 was already on its way out. anyways and liquid metal killed it lol so new gpu time

lucirift.com

discord.gg/LuciHQ

#LuciRift #furry #gaming #music #hardware #tech #computers #vrchat #gpu

New #Rowhammer attacks give complete control of machines running #Nvidia GPUs

arstechnica.com/security/2026/04/new-row...

#GPU #DRAM #cybersecurity

Chinese chip firms hit record high revenue driven by the AI boom and U.S. curbs Chinese chip companies have benefited from strong domestic demand for AI as U.S. tech curbs have bolstered local firms.

The tRump Administration is "Making China Great Again"! Great work by the stable geniuses.

#econsky #China #AI #Chips #GPU

www.cnbc.com/2026/04/03/c...

Introducing Gemma 4 on Google Cloud: Our most capable open models yet Google Cloud has launched Gemma 4, a powerful family of open AI models derived from Gemini research. These models offer enhanced capabilities beyond chat, featuring extensive context windows, native vision and audio processing, and support for over 140 languages. Gemma 4 is designed to balance complex logic execution with data security, enabling enterprise-grade AI deployments with strict compliance guarantees, including sovereign cloud solutions. Businesses can deploy Gemma 4 on Vertex AI for direct control over infrastructure and costs. The platform supports fine-tuning Gemma 4 variants for diverse tasks, from edge computing to complex enterprise orchestration. Additionally, Gemma 4 26B MoE will soon be fully managed and serverless on Vertex AI's Model Garden. The Agent Development Kit (ADK) facilitates building AI agents with Gemma 4's advanced reasoning and code generation features. Gemma 4 inference workloads can also run efficiently on Cloud Run with serverless GPUs, offering cost optimization. For more control, Google Kubernetes Engine (GKE) provides a scalable environment to deploy and manage Gemma 4, integrating with existing microservices under strict security protocols. GKE also offers advanced agentic capabilities through its Agent Sandbox for secure code execution. Gemma 4 will be accessible on Google Cloud TPUs, supporting various open-source projects for training and inference. Furthermore, Gemma 4 is available across all Google Cloud Sovereign Cloud offerings, reinforcing data control and digital sovereignty for organizations. Enterprises and government agencies can now build localized AI services that comply with national and industry regulations using Gemma 4.

Introducing Gemma 4 on Google Cloud: Our most capable open models yet

Google Cloud has launched Gemma 4, a powerful family of open AI models derived from Gemini research. These models offer enhanced capabilities beyond chat, featuring extensive context windo…

Telegram AI Digest
#geminiai #gpu #tpu

Learn how to download and run the GPT-OSS 20B model locally on your laptop using LM Studio. This step-by-step tutorial covers installation on #Ubuntu #Linux, even without a dedicated #GPU

#ArtificialIntelligence

youtu.be/YqbdVkCcHbQ

2026年3月のゲーミングPC市場動向を徹底分析！注目の製品や価格帯に迫る 2026年3月のゲーミングPC市場動向を掘り下げ、注目の製品やトレンドを詳しく紹介します。GPUやCPUの人気ランキングも確認。

2026年3月のゲーミングPC市場動向を徹底分析！注目の製品や価格帯に迫る #ゲーミングPC #GPU #CPU

2026年3月のゲーミングPC市場動向を掘り下げ、注目の製品やトレンドを詳しく紹介します。GPUやCPUの人気ランキングも確認。

GPU Dedicated Servers - Gigaquad Get a dedicated AMD Ryzen server with DDR5 RAM and an AMD Radeon 9000 series GPU in the Equinix ME2 (Melbourne, Australia) or CIX (Cork, Ireland) datacenter

NOW IN #CORK, IRELAND 🇮🇪

Run #opensource #AI models on hardware you control! Get one of our dedicated AMD Ryzen servers with DDR5 RAM and an AMD #Radeon 9000 series #GPU in the CIX datacenter from 217 EUR per month.

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www.gigaquad.eu/services/gpu...

Run real-time and async inference on the same infrastructure with GKE Inference Gateway AI workloads demand infrastructure that balances real-time, low-latency requests with high-throughput asynchronous tasks. Traditionally, these needs are met by separate, often underutilized, GPU and TPU clusters in Kubernetes. This system results in over-provisioning for real-time bursts and fragmented management for async processing. Google Kubernetes Engine (GKE) introduces the GKE Inference Gateway to unify these disparate AI serving patterns. This platform treats accelerator capacity as a fluid resource pool, capable of serving both deterministic latency and high-throughput workloads. Real-time inference involves synchronous requests where immediate responses are critical, like chatbot interactions. For these, latency-aware scheduling by Inference Gateway predicts model server performance using real-time metrics to minimize response times and queuing delays. Asynchronous inference, conversely, handles latency-tolerant tasks such as data indexing. These tasks are typically queued and processed with delays. The solution for async inference is an Async Processor Agent integrated with the Inference Gateway and Cloud Pub/Sub. This agent treats batch tasks as "filler," utilizing idle accelerator capacity between real-time spikes to reduce costs and fragmentation. The integrated architecture prioritizes real-time traffic, with async requests filling unused compute cycles. Real-time requests are scheduled first by Inference Gateway, while async requests are published to a Pub/Sub topic. The Async Processor reads from this queue and routes requests through the same Inference Gateway, ensuring seamless resource utilization. Testing shows that with the Async Processor, latency-tolerant requests are served without impacting real-time performance, unlike unmanaged multiplexing which can lead to message drops. This consolidated approach eliminates the need for separate clusters and complex queue-pollers, offering an open-source solution for cost-effective and performant AI inference.

Run real-time and async inference on the same infrastructure with GKE Inference Gateway

AI workloads demand infrastructure that balances real-time, low-latency requests with high-throughput asynchronous tasks. Traditionally, these needs are met by separate, o…

Telegram AI Digest
#gpu #testing #tpu

New Rowhammer attacks give complete control of machines running Nvidia GPUs Both GDDRHammer and GeForge hammer GPU memory in ways that compromise the CPU.

New #Rowhammer attacks give complete control of machines running #Nvidia GPUs | #PCGaming #gaming #hardware #GPU #Geforce | arstechnica.com/security/202...

RLC Pro AI Launch - April 2 2026 Why the OS is where GPU ROI is won or lost, and how RLC Pro AI helps you win

Live in an hour!

The OS under your GPU fleet determines how much performance you actually get. We're showing why that matters and what production-ready looks like. Live demo included.

Register: bit.ly/46TMpmd
#AIInfrastructure #GPU

💻 NVIDIA ramps up **Blackwell Ultra** GPUs with 50% more compute/memory for AI factories, while **Rubin** chips launch in H2 2026.[1][3]

📰 YouTube NVIDIA Stock CNBC
🔗 https://www.youtube.com/watch?v=fEBcHn3a3pg

#Nvidia #Tech #GPU

마이크로소프트 슈퍼인텔리전스, 비즈니스 가치로 증명하는 법 - IT Mania 도전인생 생성형 AI 기술이 쏟아져 나오는 지금, 거대 IT 기업들의 목표는 단순히 똑똑한 모델을 만드는 수준을 넘어섰습니다. 마이크로소프트가 지향하는 슈퍼인텔리전스는 화려한 기술적 성취보다 실제 기업 현장에서 돈이 되는 실용적인 가치에 집중하고 있습니다. 최근 무스타파 술레이만 CEO의

마이크로소프트 슈퍼인텔리전스, 비즈니스 가치로 증명하는 법

https://bit.ly/4vduh1k

#마이크로소프트 #슈퍼인텔리전스 #생성형AI #비즈니스가치 #무스타파술레이만 #GPU #기술동향

¿i
To bridge gap between high-level Python
code and highly optimized hardware
execution on GPU, a
#multi-stage-compilation-stack
takes place across both
#CPU and #GPU

Cooling the Future: How Refroid Is Rewriting the Rules of AI Data Center Thermal Management AI data center thermal management liquid cooling drives efficiency, performance, and scalability for next-generation compute infrastructure.

Sanjana Mandavia and Satya Bhavaraju highlight how ThermIon Hybrid Load Bank and SentraFLO CDU redefine cooling as the key constraint shaping #AIinfrastructure scaling.

Read now- www.computeforecast.com/thought-lead...

#LiquidCooling #ThermalManagement #GPU #Datacenters #SantraFlo #CDU

🚀 Running heavy AI workloads? Discover why Dedicated GPU Servers are essential for the speed, exclusive resources, and security your deep learning models need. ⚡🧠

Read More... www.ctcservers.com/blogs/ai-gpu...
#dedicatedservers #ai #gpu #ctcservers

Original post on webpronews.com

Nvidia Wants Your PC to Compile Shaders While You Sleep — And It Might Actually Fix Gaming’s Most Annoying Problem Nvidia's latest app update compiles game shaders during PC idle time, targ...

#DevNews #background #shader #pre-compilation #GPU #shader #cache […]

[Original post on webpronews.com]

Stop This AI Slop

Stop This AI Slop

#Ai #Nvidia #Dlss #gaming #Gpu

programmerhumor.io/ai-memes/stop-this-ai-sl...