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  • H
    Hardik Shah

    ๐Ÿ“ข ๐‰๐”๐’๐“ ๐ˆ๐: Bristol Myers Squibb Expands AI Infrastructure With Nvidia DGX Vera Rubin - $Bristol Myers Squibb(BMY.US) $NVIDIA(NVDA.US)

    ๐Ÿ‘‰ ๐Š๐ž๐ฒ ๐‡๐ข๐ ๐ก๐ฅ๐ข๐ ๐ก๐ญ๐ฌ:

    โžค ๐๐ซ๐ข๐ฌ๐ญ๐จ๐ฅ ๐Œ๐ฒ๐ž๐ซ๐ฌ ๐’๐ช๐ฎ๐ข๐›๐› will deploy an ๐๐ฏ๐ข๐๐ข๐š ๐ƒ๐†๐— ๐’๐ฎ๐ฉ๐ž๐ซ๐๐Ž๐ƒ.

    โžค Infrastructure includes ๐ƒ๐†๐— ๐•๐ž๐ซ๐š ๐‘๐ฎ๐›๐ข๐ง ๐๐•๐‹๐Ÿ•๐Ÿ systems.

    โžค Vera Rubin delivers up to ๐ˆ๐ŸŽ๐ฑ greater performance per megawatt.

    โžค AI infrastructure will support research across ๐จ๐ง๐œ๐จ๐ฅ๐จ๐ ๐ฒ, ๐ข๐ฆ๐ฆ๐ฎ๐ง๐จ๐ฅ๐จ๐ ๐ฒ, and neuroscience.

    โžค BMS will develop ๐€๐ˆ ๐Ÿ๐จ๐ฎ๐ง๐๐š๐ญ๐ข๐จ๐ง ๐ฆ๐จ๐๐ž๐ฅ๐ฌ using proprietary data.

    โžค Platform will power ๐š๐ ๐ž๐ง๐ญ๐ข๐œ ๐€๐ˆ workflows for drug discovery.

    โžค BMS will use its ๐๐ซ๐ž๐๐ข๐œ๐ญ ๐…๐ข๐ซ๐ฌ๐ญ approach to guide experiments.

    โžค Agreement includes access to ๐๐ฏ๐ข๐๐ข๐š ๐๐ข๐จ๐๐ž๐Œ๐จ and Agent Toolkit.

    โžค Financial terms of the collaboration were ๐ง๐จ๐ญ ๐๐ข๐ฌ๐œ๐ฅ๐จ๐ฌ๐ž๐.

    ๐Ÿ‘‰ ๐„๐ฑ๐ฉ๐ž๐ซ๐ญ ๐’๐ญ๐š๐ญ๐ž๐ฆ๐ž๐ง๐ญ๐ฌ:

    ๐†๐ซ๐ž๐  ๐Œ๐ž๐ฒ๐ž๐ซ๐ฌ, Chief Digital and Technology Officer at Bristol Myers Squibb:

    "BMS has made a deliberate bet on AI, and we are beginning to see it pay off in our pipeline and operations. Expanding our compute capabilities with Nvidia gives our researchers and teams across the business the scale they need to keep BMS at the leading edge of what AI can do for drug discovery and development."

    ๐‘๐จ๐›๐ž๐ซ๐ญ ๐๐ฅ๐ž๐ง๐ ๐ž, Executive Vice President and Chief Research Officer at Bristol Myers Squibb:

    "The goal isn't speed for its own sake; it's raising the probability that each program we advance is the right one."

    ๐‘๐จ๐ซ๐ฒ ๐Š๐ž๐ฅ๐ฅ๐ž๐ก๐ž๐ซ, Senior Director of Business Development, Healthcare and Life Sciences at Nvidia:

    "The tools will allow BMS to convert its scientific data into proprietary intelligence to support molecule design and hypothesis evaluation."

  • N
    NVIDIA_X

    For the past two years, an NVIDIA AI infrastructure contribution to the NAIRR pilot has helped power over 700 U.S. research projects. With DGX reference architecture providing dedicated resources, researchers have uncovered groundbreaking technologies that will reshape and advance industries such as healthcare, agriculture and energy.

    Discover how Polymathic AI, University of Michigan, and Boston University are driving scientific breakthroughs with NAIRR and NVIDIA.

    Source: NVIDIA_X

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  • N
    NVIDIA_X

    More than 500 researchers across all seven of @Stanford Universityโ€™s schools now have access to a massive upgrade in computing power.

    In partnership with NVIDIA and Mark III Systems, Stanford has deployed "Marlowe", a DGX SuperPOD equipped with 248 NVIDIA Hopper GPUs. The goal is simple: democratize large-scale research access.

    Marlowe is already powering cross-disciplinary breakthroughs, from materials science and neuroscience to medical imaging and AI.

    Source: NVIDIA_X

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  • N
    NVIDIA_X

    Local AI Agents are leveling up across DGX Spark & RTX PCs. NVIDIA OpenShell is coming to Windows alongside new agentic AI optimizations and creator app updatesโ€”including NVIDIA Broadcast 2.2, plus upcoming RTX acceleration for Adobe apps and Blender.

    Learn More:

    Source: NVIDIA_X

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  • A
    AI Gossip

    Nvidia CEO Jensen Huang delivered the first DGX Spark desktop AI supercomputer to Elon Musk on Tuesday, a US$3,999 computer full of Taiwan parts, including the main onboard chip, GB10, developed with MediaTek, and manufactured by TSMC using the 4nm process. Taiwanโ€™s Acer, Asustek, Gigabyte, MSI, others will launch DGX Spark series AI desktops this year. 1/2 $NVIDIA(NVDA.US) $Taiwan Semiconductor(TSM.US) $Arm(ARM.US) #mediatek #acer #asustek #gigabyte #msi

    Source: Dan Nystedt