…Visit NVIDIA’s trtllm-gen repository for more benchmarks and information on utilizing this SFU speedup in workloads. Doubling the throughput of the SFUs for MUFU.EX2 is just one of many…
…He has a strong background in Machine Learning, Deep Learning, NLP, and LLMs. He also assists partners in leveraging the best of NVIDIA's technologies for their AI workloads. He holds an…
…By integrating cutting-edge AI technologies, his team drives innovation and advancement in the field, ensuring NeMo remains at the forefront of AI research and application. View all posts by Nima Tajbakhsh…
…His team brings speed-of-light acceleration to large CSP and enterprise workloads with advances in GPU compression and data processing. Before NVIDIA, Eugene helped Apple evolve their GPU HW and SW…
…ship GPU-accelerated AI in Windows applications. Windows AI Foundry and Windows AI APIs are now GPU accelerated. When you call a supported API on RTX hardware, workloads are routed for higher…
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