marchamilton

@marchamilton

Leading world's greatest team of solution architects at NVIDIA

Los Angeles
Vrijeme pridruživanja: prosinac 2007.

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  1. prije 14 sati

    As explained in this article and video, works extensively with developers of HPC & AI applications to address the performance challenges in solving some of the world's toughest supercomputing problems.

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  2. 29. sij

    Material science researchers around the world are cheering. A new release of VASP 6, accelerated by GPUs, is available for download (for all holders of a valid “VASP.6” license).

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  3. 28. sij

    HPC Summit at GTC 2020 | NVIDIA

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  4. proslijedio/la je Tweet

    To help accelerate research in medicine, climate modeling, physics, and other academic research, has just unveiled a new 6 petaFLOPS capable -accelerated supercomputer named Big Red 200.

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  5. 23. sij
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  6. 22. sij

    Planning your own GPU hackathon? Come to GPU Hackathon Summit next month in lovely Bologna Italy to share best practices, discuss new developments & available tools, and collaboratively plan future training events

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  7. 22. sij

    Check out the latest GPU hackathon events around the world.

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  8. 10. sij

    Kicking off Exascale Computing Symposium with - a C-DAC HPC-AI Convergence Year event

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  9. 6. sij
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  10. 25. stu 2019.
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  11. 20. stu 2019.

    Everyone at loves to work with and . Recognize any of these leaders?

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  12. 19. stu 2019.

    NVIDIA Launches Magnum IO Software Suite to Help Eliminate Data Bottlenecks for Data Scientists and AI, HPC Researchers

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  13. 18. stu 2019.

    Another special address by Jensen Huang, Arm, Magnum I/O, EXG edge supercomputing, up to 800 GPU IB clusters, wow, stop by our booth starting tonight at 7 pm to learn more.

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  14. 18. stu 2019.

    Our month report card since announced CUDA on Arm at Not bad. Or as says, "stack is really solid out of the box" ,

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  15. 18. stu 2019.

    Announcing world's largest on-demand supercomputer, up to 800 V100 GPUs connected via IB, @nvdiai

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  16. 18. stu 2019.

    From autonomous vehicles to the SKA, EGX edge supercomputing platform solves the most challenging streaming AI challenges of today. ,

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  17. 18. stu 2019.

    Of course not just our customers use to accelerate simulations, SimNet tool designs heatsinks using AI based CFD simulation ,

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  18. 18. stu 2019.

    Remember just a few years ago when conference talks would argue about if HPC and would converge? At AI for science isn't even a question anymore but a given. and everyone else is now on board. ,

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  19. 18. stu 2019.

    Looks like Jensen will be talking about and I/O in his keynote ,

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  20. 18. stu 2019.

    A great GPU is just the start, Jensen talks about dedication to full stack speed-up at resulting in speedup from 27 hours to 10 hours in 2 years, on the same exact hardware! The ultimate benefit of GPU acceleration for your science. ,

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