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Breakthrough in Quantum Computing: World's Largest Circuit Simulation Successfully Conducted Researchers at the University of Osaka and Fixstars Corporation achieved a major milestone in quantum computing by simulating quantum circuits on 1,024 GPUs, surpassing previous technology limits.

Breakthrough in Quantum Computing: World's Largest Circuit Simulation Successfully Conducted #Japan #Quantum_Computing #Osaka #Fixstars #University_of_Osaka

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Thinca and Fixstars Form Strategic Alliance to Enhance AI Communication Services Thinca has partnered with Fixstars to enhance their AI communication platform, Kaikura. The collaboration aims to boost AI service capabilities and development speed.

Thinca and Fixstars Form Strategic Alliance to Enhance AI Communication Services #Japan #Tokyo #Fixstars #Thinca #Kaikura

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「Fixstars 高速化コンテスト 2026」が盛況のうちに閉幕!井上卓哉氏が見事2連覇達成 井上卓哉氏が「Fixstars 高速化コンテスト 2026」で圧倒的な実力を見せつけ、2連覇を達成しました。参加者数も前回を上回る熱戦に乞うご期待。

「Fixstars 高速化コンテスト 2026」が盛況のうちに閉幕!井上卓哉氏が見事2連覇達成 #Fixstars #高速化コンテスト #井上卓哉

井上卓哉氏が「Fixstars 高速化コンテスト 2026」で圧倒的な実力を見せつけ、2連覇を達成しました。参加者数も前回を上回る熱戦に乞うご期待。

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Fixstars Amplify Cloud Service Celebrates Major Milestones: Over 1,000 Organizations and 100 Million Executions Fixstars Amplify Cloud Service marks significant achievements with over 1,000 organizations onboard and 100 million cumulative executions, setting the standard in optimization technology.

Fixstars Amplify Cloud Service Celebrates Major Milestones: Over 1,000 Organizations and 100 Million Executions #AI_Technology #Fixstars #Optimization_Cloud

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Accelerating Local Feature Computation with CUDA and Source Code Release - Fixstars Corporation Tech Blog This time, I will introduce my work on accelerating local feature computation, a process used in Visual SLAM and SfM (Structure from Motion), using CUDA. I have also released the source code for this…

⚡ Faster SLAM & SfM with GPUs. blog.us.fixstars.com/accelerating...

We accelerated local feature computation (BAD & HashSIFT) using CUDA — achieving up to 300× speedup vs CPU — and released the code as cuda-efficient-features on GitHub.

#CUDA #SLAM #SfM #ComputerVision #Fixstars

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Essential Read for Engineers: Optimizing AI Performance through Practical Engineering Techniques A must-have book for engineers focusing on AI optimization, detailing practical performance engineering techniques. Launching December 22, 2025.

Essential Read for Engineers: Optimizing AI Performance through Practical Engineering Techniques #Japan #Tokyo #AI_Optimization #Fixstars #Performance_Engineering

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Current State Survey of Unikernels - Fixstars Corporation Tech Blog * This blog post is an English translation of an article originally published in Japanese on March 12, 2020. * The content of this article is the result of an approximately one-month internship in…

What are Unikernels and why do they matter? blog.us.fixstars.com/current-stat...

Our blog explores their potential in cloud & embedded systems, surveys MirageOS, Unikraft, UKL, and shares hands-on trials.

#Unikernels #CloudComputing #EmbeddedSystems #Fixstars

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Fixstars Introduces Groundbreaking AI Optimization Features in AIBooster Fixstars Corporation has announced new autonomous optimization features in its AIBooster platform, enhancing efficiency in AI inference and training for Edge AI applications.

Fixstars Introduces Groundbreaking AI Optimization Features in AIBooster #USA #Irvine #AI_Optimization #Fixstars #AIBooster

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Verifying the Optimal Context Length for Deploying Llama 4 with vLLM - Fixstars Corporation Tech Blog Llama 4 supports a long context of up to 10 million tokens; however, for actual deployment, it's important to be mindful of library and hardware constraints. In this article, through experiments…

We pushed Llama 4 on vLLM to its limits.
blog.us.fixstars.com/verifying-th...

With 8 H100s in FP8, it reached 1.5M tokens, while Maverick capped at 300k. Not yet 10M, but a major step toward large-scale deployment.

#AI #Llama4 #vLLM #Fixstars

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I-ne Partners with Fixstars for Next-Gen AI Agent Research I-ne collaborates with Fixstars to integrate next-generation AI agents into its unique brand management system, IPTOS, enhancing decision-making.

I-ne Partners with Fixstars for Next-Gen AI Agent Research #Japan #Osaka #Fixstars #I-ne #IPTOS

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Fixstars AIBooster July '25 is out! 🚀
Supercharge your AI infra with new GPU insights, automated tuning, and performance optimization.

Explore the details here: buff.ly/PAu94jg

#AI #AIBooster #Fixstars

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🚀 Experience AI performance observability — no installation needed.
👉 Try the live demo now: www.fixstars.com/en/ai/booste...

With Fixstars AI Booster, you can apply performance engineering to your AI workloads:
⚙️ Optimize models
💸 Cut GPU costs

#AI #MachineLearning #GPU #Fixstars

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Fixstars Unveils Open-Source CUMVS Software for Rapid 3D Model Generation Fixstars Corporation launches its CUMVS software as open-source, enhancing 3D model generation from 2D images, optimized for NVIDIA GPUs.

Fixstars Unveils Open-Source CUMVS Software for Rapid 3D Model Generation #Japan #Tokyo #Fixstars #3D_Modeling #CUMVS

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Fixstars & OPTAGE unite for a cutting-edge AI Data Center!

High-performance, cost-effective AI training is here, backed by Fixstars' GPU optimization.

Read More: https://tinyurl.com/4x5jkjb6

#AI #DataCenter #HPC #Fixstars #OPTAGE #bestplacetowork #ittechpulse

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Fixstars and OPTAGE Collaborate to Innovate AI Data Center Technology Discover the groundbreaking partnership between Fixstars and OPTAGE aimed at creating a state-of-the-art AI Data Center to meet the surging demands of AI workloads.

Fixstars and OPTAGE Collaborate to Innovate AI Data Center Technology #Japan #Tokyo #AI_Data_Center #Fixstars #OPTAGE

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Fixstars Unveils AI Booster: A New AI Acceleration Platform Optimizing GPU Performance Fixstars Corporation has launched 'AI Booster', an innovative platform designed to enhance GPU utilization for AI applications, boosting performance and reducing costs.

Fixstars Unveils AI Booster: A New AI Acceleration Platform Optimizing GPU Performance #Japan #Tokyo #Fixstars #AI_Booster #GPU_Optimization

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