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NVIDIA HPC Developer

@NVIDIAHPCDev

See the latest HPC developer news and resources from @NVIDIA.

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linkhttps://developer.nvidia.com/blog calendar_today10-11-2009 21:38:41

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NVIDIA HPC Developer(@NVIDIAHPCDev) 's Twitter Profile Photo

Learn how CorrDiff, a powerful new model, is enabling users to anticipate and mitigate extreme weather-related risks with high-fidelity weather predictions at km-scale on the NVIDIA Earth-2 platform. nvda.ws/43Sc38f

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CUDA: New Features and Beyond is now available on our YouTube channel and one of our most popular technical sessions at .

During this talk, NVIDIA CUDA Architect Stephen Jones shares what’s new and next, for and GPU computing‌.

➡️: nvda.ws/4asHj02

CUDA: New Features and Beyond is now available on our YouTube channel and one of our most popular technical sessions at #GTC24. During this talk, NVIDIA CUDA Architect Stephen Jones shares what’s new and next, for #CUDA and GPU computing‌. ➡️: nvda.ws/4asHj02
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NVIDIA Data Center(@NVIDIADC) 's Twitter Profile Photo

NVIDIA Earth-2 is the first-of-its-kind digital twin platform aimed at mitigating the impact of climate change. Watch this interview with Dion Harris, NVIDIA Accelerated Data Center Director, and explore this revolutionary technology: nvda.ws/49tXkBz

NVIDIA Earth-2 is the first-of-its-kind digital twin platform aimed at mitigating the impact of climate change. Watch this #GTC24 interview with Dion Harris, NVIDIA Accelerated Data Center Director, and explore this revolutionary technology: nvda.ws/49tXkBz #climatetech
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NVIDIA Data Center(@NVIDIADC) 's Twitter Profile Photo

Join us at to explore how NVIDIA and Google Cloud are making it easier for enterprises to accelerate time to solution with .

Explore more: nvda.ws/3J95AMy

Join us at #GoogleCloudNext to explore how NVIDIA and @googlecloud are making it easier for enterprises to accelerate time to solution with #generativeAI. Explore more: nvda.ws/3J95AMy
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Register for to hear Daniel Rohrer, VP of Software Product Security at NVIDIA, discuss how the future of cloud computing is shifting to private, encrypted services where workloads stay verifiably isolated and protected.

Sign up today: nvda.ws/43IGHAT

Register for #GoogleCloudNext to hear Daniel Rohrer, VP of Software Product Security at NVIDIA, discuss how the future of cloud computing is shifting to private, encrypted services where workloads stay verifiably isolated and protected. Sign up today: nvda.ws/43IGHAT
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NVIDIA Data Center(@NVIDIADC) 's Twitter Profile Photo

Register to hear how NVIDIA & Google Cloud have teamed up, using NVIDIA GPUs with Google Kubernetes Engine to remove the heavy lifting needed to set up AI deployments, automate orchestration, manage large training clusters, and serve low-latency inference: nvda.ws/4czbuE6

Register to hear how NVIDIA & Google Cloud have teamed up, using NVIDIA GPUs with Google Kubernetes Engine to remove the heavy lifting needed to set up AI deployments, automate orchestration, manage large training clusters, and serve low-latency inference: nvda.ws/4czbuE6
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NVIDIA Data Center(@NVIDIADC) 's Twitter Profile Photo

Learn why AI-accelerated, physics-based, high-fidelity surrogates for interactive digital twins are 65X cheaper and use 58X less energy than numerical simulations.

Read More: nvda.ws/3xvvU0D

Learn why AI-accelerated, physics-based, high-fidelity surrogates for interactive digital twins are 65X cheaper and use 58X less energy than numerical simulations. #PhysicsML #EnergyEfficiency Read More: nvda.ws/3xvvU0D
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NVIDIA HPC Developer(@NVIDIAHPCDev) 's Twitter Profile Photo

Our NVIDIA Compute Sanitizer is a powerful tool that can save you time and effort while improving the reliability and performance of your applications.

🐛 Learn how to efficiently debug code in the CUDA environment:

nvda.ws/3VuY1Hs

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NVIDIA HPC Developer(@NVIDIAHPCDev) 's Twitter Profile Photo

CFD consumes 25 billion CPU core hours per year, & for all types of physics simulations, that consumption is 200 billion CPU core hours a year. -ml models accelerate existing sim workflows 10-10,000X, with 65X lower cost & 58X less energy. Explore: nvda.ws/3ITwE2n

CFD consumes 25 billion CPU core hours per year, & for all types of physics simulations, that consumption is 200 billion CPU core hours a year. #Physics-ml models accelerate existing sim workflows 10-10,000X, with 65X lower cost & 58X less energy. Explore: nvda.ws/3ITwE2n
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Alán Aspuru-Guzik University of Toronto Professor and @zapatacomputing Co-Founder shares for insights and how this technology can be used for chemistry and healthcare solutions.

Learn more: nvda.ws/4cvmIJL

Alán Aspuru-Guzik @UofT Professor and @zapatacomputing Co-Founder shares #AI for #quantumcomputing insights and how this technology can be used for chemistry and healthcare solutions. #GTC24 Learn more: nvda.ws/4cvmIJL
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From Taiwan to Germany, companies are seeing the benefits of -informed models and simulations with NVIDIA Modulus and Omniverse. nvda.ws/43zDuU4

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is scaling to multi-GPU multi-node platforms.

At , NVIDIA announced several enhancements to its ecosystem of HPC compilers, libraries, and tools help your application meet the demands of modern driven workloads.

nvda.ws/3TruVpI

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We announced NVIDIA Earth-2 Climate Digital Twin at .

Explore how Earth-2 cloud APIs deliver -powered, high-resolution simulations and visualization of global climate and weather—at a groundbreaking scale here: nvda.ws/3Tw1v9P

We announced NVIDIA Earth-2 Climate Digital Twin at #GTC24. Explore how Earth-2 cloud APIs deliver #AI-powered, high-resolution simulations and visualization of global climate and weather—at a groundbreaking scale here: nvda.ws/3Tw1v9P
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Synopsys(@Synopsys) 's Twitter Profile Photo

Thank you to everyone who joined us for Synopsys' kickoff!👏 Our CEO, Sassine Ghazi, shared some Day 1 highlights on his LinkedIn page: bit.ly/3VswBlt

Thank you to everyone who joined us for Synopsys' #SNUG24 kickoff!👏 Our CEO, Sassine Ghazi, shared some Day 1 highlights on his LinkedIn page: bit.ly/3VswBlt
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Build AI applications that achieve peak performance. Harness the power of NVIDIA’s AI platform with Nsight Systems, a comprehensive performance analysis tool that helps develop and scale AI applications to the data center and cloud. Watch the demo: nvda.ws/3Pu6EOs

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Realizing the benefits of requires integrating quantum computers into existing supercomputing infrastructures and scientific computing workflows, enabling domain scientists to program them in familiar languages and tools. nvda.ws/3PuK2xj

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VMware vSphere(@VMwarevSphere) 's Twitter Profile Photo

Unlock the potential of Generative AI at NVIDIA GTC with VMware Private Foundation. Come see us in San Jose to hear from the experts, Chris Wolf and Adel El Hallak! 👉 register.nvidia.com/flow/nvidia/gt…

Unlock the potential of Generative AI at @NVIDIAGTC with @VMware Private #AI Foundation. Come see us in San Jose to hear from the experts, Chris Wolf and Adel El Hallak! 👉 register.nvidia.com/flow/nvidia/gt…
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Red Hat Partners(@RedHatPartners) 's Twitter Profile Photo

Best-in-class architecture + the industry leading open platform = 🏆

Read more about the latest collaboration between Red Hat and NVIDIA AI: red.ht/4aluQed

Best-in-class #AI architecture + the industry leading open #HybridCloud platform = 🏆 Read more about the latest collaboration between @RedHat and @NVIDIAAI: red.ht/4aluQed #GTC24
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NVIDIA AI(@NVIDIAAI) 's Twitter Profile Photo

To help mitigate climate change, startups Tomorrow.io, Climasens, and north.io GmbH are using NVIDIA Earth-2 to accelerate and operationalize their work, advancing climate action across the globe. nvda.ws/3Tn9zK4

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NVIDIA Data Center(@NVIDIADC) 's Twitter Profile Photo

Just announced! NVIDIA GB200 NVL72 exascale computer enables real-time inference and training for intense AI and HPC workloads. Read more about it in our tech blog. nvda.ws/3THVf0i

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