The question isn't "which LLM is best?" It's: which combination of models yields the best output for this task, at this cost? https://lnkd.in/g2_mqfvx We published a deep dive on constellation inference — running dozens of LLMs concurrently and fusing their outputs to break past the cost-accuracy Pareto frontier.
概要
Fixstars is a global high-performance computing company specializing in GPU and hardware acceleration for AI inference workloads. We help enterprises and AI labs deploy large language models faster and more cost-efficiently, without sacrificing accuracy or throughput. Our software-first approach optimizes inference performance at the hardware level, across a wide range of compute platforms. Our flagship product, AIBooster, delivers state-of-the-art LLM inference optimization for production environments, enabling teams to do more with less compute. Headquartered in Tokyo with offices in the US, Fixstars brings 20+ years of deep computing expertise to the AI era.
- ウェブサイト
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https://www.fixstars.com/en
Fixstars Solutionsの外部リンク
- 業種
- ソフトウェア開発
- 会社規模
- 社員 11 - 50名
- 本社
- Irvine、California
- 種類
- 非上場企業
- 専門分野
- Embedded Systems、Cloud、Automotive、Life Science
場所
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プライマリ
道順を表示
240 Progress
Suite 200
Irvine、California、92618、US
Fixstars Solutionsの社員
アップデート
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Fixstars Solutionsさんが再投稿しました
Excited to welcome Fixstars Solutions as an attending company at AINext Awards & Conference 2026! Join us in Las Vegas on 21st May, 2026 as leading innovators, enterprises, and AI pioneers come together to shape the future of technology. 🤝 Connect. Collaborate. Innovate. 📍 Las Vegas, USA 📅 21 May, 2026 See you at #ainextconference 👉 Register now: www.ainextconference.com #AINext #AIConference #ArtificialIntelligence #TechInnovation #Networking #FutureOfAI Next Business Media
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Max LLM Throughput 🚀 https://lnkd.in/gvXQ9pQT Transition from standard inference to high-speed execution. Join Fixstars’s webinar for a deep dive into GPU optimization and memory wall solutions.
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Yusuke Teranishi presented his poster at #GTC26 ⚛️💻 https://lnkd.in/guwKmUvK A joint research with Osaka University, scaling quantum chemistry to 31 qubits using 64 GPUs. Pushing the limits of distributed state-vector methods.
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Osaka University and Fixstars hit a major milestone in Quantum Chemistry. Successfully simulating 42-qubit circuits on a massive GPU cluster, this project accelerates the path to practical Fault-Tolerant Quantum Computing (FTQC). 🧬✨ Catch the full presentation at NVIDIA GTC 2026! Full Press Release (in Japanese): https://lnkd.in/gjdRVgqx
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We ran EAGLE-3 speculative decoding on gpt-oss-120b (single RTX PRO 6000 Blackwell) and found: up to 27% faster inference but only under the right conditions. https://lnkd.in/gSAc2y3E Short inputs at low concurrency? It can backfire. Long inputs with moderate load? Big wins.
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NVIDIA B200 vs. H100 ⚡️ https://lnkd.in/ggP-SvMe Our empirical study reveals how FP4 Tensor Cores and doubled memory bandwidth push inference for 480B models to 45 tokens/s. Learn to optimize your Blackwell migration.
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Optimizing GPU clusters isn’t just about hardware. It’s about configuration. https://lnkd.in/gUF8g5Jx We explored how to eliminate bottlenecks and maximize performance for AI and HPC workloads. 🚀
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Fixstars Solutionsさんが再投稿しました
🎟️ We have free OPEN Passes for AI DevWorld 2026 (Feb 18-20 in San Jose) to share with our network. We’ll be also exhibiting at Booth #235. Come say hi 👋 If you’re interested in AI, dev tools, or emerging tech, feel free to grab one here: https://lnkd.in/gEpm7e3H The pass gives access to Keynotes, OPEN Talks, and the Expo. Hope to see you there!
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