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nvidiabot.bsky.social
NVIDIA
@nvidiabot.bsky.social
7 followers 1 following 210 posts
Unofficial mirror crossposting all Tweets from the official NVIDIA Twitter accounts.

Blog: https://blogs.nvidia.com Support: http://nvda.ws/2ei5pio All our social media: http://nvda.ws/2wmlfGB
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nvidiabot.bsky.social
AI Blueprints + #NVIDIARTXPRO = Lightning-fast 3D scene building 🎨

👀 See what the hype is about: http://nvda.ws/463daTM
Quote Tweet: https://twitter.com/i/status/1963255671660441911
January 6, 2026 at 5:52 PM
nvidiabot.bsky.social
⚡ Learn how #NVIDIARTXPRO 6000 Blackwell is accelerating compute across:

🔬 Advanced simulation
🌌 Scientific computing
🧬 Genomics

Learn more: https://nvda.ws/4ncfZJp
January 6, 2026 at 5:51 PM
nvidiabot.bsky.social
Lights, camera, AI! 🎬🤖

Watch NVIDIA + @DellTech + @qvestgroup dive into how AI is transforming broadcast workflows—think real-time content search, auto video summarization, and global content localization. 🌍🎙️

Catch it here: https://nvda.ws/4oXOd4Q
January 6, 2026 at 5:51 PM
nvidiabot.bsky.social
☀️ The summer we launched SFF GPUs...

⚡ We packed Blackwell power into half-size cards
🤖 We ran AI, CAD & 3D workflows way faster
🔋 We did it all at just 70W max

Catch the full story: https://nvda.ws/3HjTMd6
# Alt Text: A sleek black NVIDIA RTX 4000 SFF (Small Form Factor) GPU card displayed against a dark background with text reading "THE SUMMER I LAUNCHED SFF GPUs." The compact half-size graphics card features a prominent circular cooling fan and is positioned at an angle, showcasing its slim design and professional engineering.
January 6, 2026 at 5:49 PM
nvidiabot.bsky.social
Curious what the most powerful desktop GPU ever created looks like? 👀

🔍 Take a closer look: https://nvda.ws/47O6Py2
January 6, 2026 at 5:49 PM
nvidiabot.bsky.social
ICYMI: Our new GPUs fit in your pocket 🤏(kinda)

Meet the NVIDIA RTX PRO 4000 SFF & 2000—compact design, mighty performance.

🔗 https://nvda.ws/3HjTMd6
Quote Tweet: https://twitter.com/i/status/1954931074942837100
January 6, 2026 at 5:48 PM
nvidiabot.bsky.social
AI factories just got an upgrade.⚡

In the latest episode of the Reshaping Workflows podcast, Jeremy Williford dives into how NVIDIA + @DellTech built Dell AI Factory 2.0 ✨

Spoiler: it’s a game-changer: https://nvda.ws/45VA3d5
January 6, 2026 at 5:48 PM
nvidiabot.bsky.social
Your footage called. It wants more speed. 😉

See how NVIDIA RTX PRO Blackwell GPUs handle 4:2:2 10-bit video, AI magic, and lightning-fast encoding without breaking a sweat 🎥

🔗 https://nvda.ws/45BnQJk
January 6, 2026 at 5:46 PM
nvidiabot.bsky.social
The second star of our #SIGGRAPH2025 lineup: NVIDIA RTX PRO 4000 Blackwell SFF Edition 🌟

⚡24GB of GDDR7 memory
⚡Space-saving design
⚡Packed with power for AI, rendering, and more.

🔗 Check it out: https://nvda.ws/41Hi1bX
# Alt Text NVIDIA RTX PRO 4000 Blackwell SFF Edition graphics card displayed against a black background with flowing wave patterns. The compact, rectangular card features a circular cooling fan on top, vertical heat sink fins along the side, and the NVIDIA logo. Text "RTX PRO" appears in the bottom right corner.
January 6, 2026 at 5:45 PM
nvidiabot.bsky.social
NVIDIA GPUs are accelerating #QuantumComputing workflows. ⚡

Researchers working on Sample Based Krylov Quantum Diagonalization (SBKQD) methods can now use our NVIDIA CUDA-Q platform to perform ground-state energy estimation without the issue of ‘Barren Plateaus’.
# Alt Text Bar chart comparing average execution time for postprocessing with k=11. GPU completes in 0.1373 seconds while CPU takes 19.4353 seconds, with a callout indicating GPU is 141.6x faster.
January 6, 2026 at 5:45 PM
nvidiabot.bsky.social
The new #cuQuantum SDK v25.11 is here, introducing cuPauliProp and cuStabilizer to supercharge large-scale #QuantumComputing simulations on NVIDIA GPUs. ⚡️
Advanced Large-Scale Quantum Simulation Techniques in cuQuantum SDK v25.11 | NVIDIA Technical Blog
Simulating large-scale quantum computers has become more difficult as the quality of quantum processing units (QPUs) improves. Validating the results is key to ensure that after the devices scale…
developer.nvidia.com
January 6, 2026 at 5:44 PM
nvidiabot.bsky.social
🌌 @UCSanDiego's Hao AI Lab now has full access to NVIDIA DGX B200 at the San Diego Supercomputer Center, opening up new research opportunities across campus ➡️ https://blogs.nvidia.com/blog/ucsd-generative-ai-research-dgx-b200/
UC San Diego Lab Advances Generative AI Research With NVIDIA DGX B200 System
The Hao AI Lab research team at the University of California San Diego recently received an NVIDIA DGX B200 system to elevate their work in LLM inference.
blogs.nvidia.com
January 6, 2026 at 5:44 PM
nvidiabot.bsky.social
Real-time decoding is the key challenge facing #quantumerrorcorrection, and now it can be performed with the latest release of NVIDIA CUDA-Q QEC. 🛠️⚛️
# Alt Text A glowing green atomic nucleus at the center surrounded by white orbital electron paths against a dark gray background, symbolizing quantum computing and atomic physics. The atom features geometric coordinate axes overlaid on the nucleus, representing quantum error correction and computational modeling.
January 6, 2026 at 5:43 PM
nvidiabot.bsky.social
✨ @SKhynix is pioneering AI Physics using NVIDIA #PhysicsNeMo to create high-fidelity surrogate models, accelerating semiconductor design from hours to milliseconds. 🤯
# Alt Text: Close-up of semiconductor wafer processing equipment showing a large circular wafer with a grid pattern of microchip structures mounted on an automated handling apparatus with white mechanical components and metal framework.
January 6, 2026 at 5:43 PM
nvidiabot.bsky.social
The path to scalable #quantumcomputing is being supercharged by AI. 💡
Artificial intelligence for quantum computing - Nature Communications
Quantum computing devices of increasing complexity are becoming more and more reliant on automatised tools for design, optimization and operation. In this Review, the authors discuss recent developments in “AI for quantum", from hardware design and control, to circuit compiling, quantum error correction and postprocessing, and discuss future potential of quantum accelerated supercomputing, where AI, HPC, and quantum technologies converge.
www.nature.com
January 6, 2026 at 5:41 PM
nvidiabot.bsky.social
⚡ High-performance storage and deep application insight are the foundation of true optimization.
January 6, 2026 at 5:41 PM
nvidiabot.bsky.social
🚨 NVIDIA CUDA 13.1 brings the largest update to the #CUDA platform in 20 years.

Discover the new features and updates for improving performance and driving #acceleratedcomputing, including:
# Alt Text: 3D visualization of a glowing neural network or tensor structure inside a wireframe cube. The center features a bright spiral pattern in lime green and cyan, surrounded by flowing data represented in gradient colors from green to purple, against a black background. The image represents CUDA Tile technology for GPU computing and accelerated processing.
January 6, 2026 at 5:40 PM
nvidiabot.bsky.social
Learn how to seamlessly scale your Python data analytics workflows from laptop to supercomputer using NVIDIA cuPyNumeric and Legate Boost.

🎥 https://www.youtube.com/watch?v=LL3NAkjg9d4&feature=youtu.be
# Alt Text: Diagram of The Legate Ecosystem showing a hierarchical architecture. At the top are Foundational Legate Libraries including cuPyNumeric, Legate Sparse, Legate Boost, Legate DataFrame, and Legate IO. Below is the Legate Runtime Stack with three layers: Legate (Productivity & Composability Layer), Legion (Implicit Parallelism Layer), and Realm (Runtime for Scalable and Portable Execution). At the bottom are four images representing deployment targets: desktop workstation, GPU accelerator, data center server, and supercomputer.
January 6, 2026 at 5:38 PM
nvidiabot.bsky.social
CUDA-X is reshaping how scientists and engineers solve the world’s hardest problems, from data science pipelines to quantum simulations and semiconductor manufacturing.
# Alt Text A grid displaying 14 domain-specific CUDA-X libraries with the heading "Accelerated Computing Begins with CUDA-X." Each tile shows a visualization representing its application: cuLitho (computational lithography), cuDSS/AMGX (computer-aided engineering), cuOpt (decision optimization), Warp/PhysicsNeМo (physics), cuDF/cuML (data science), cuEquivariance/cuTensor (quantum chemistry), cuQuantum/CUDA-Q (quantum computing), BioNeМo (biology), Earth-2 (weather analytics), MONAI (medical imaging), Parabricks (genomics), Aerial/Sionna (5G/6G signal processing), cuPyNumeric (numerical computing), and ALCHEMI (AI materials science).
January 6, 2026 at 5:38 PM
nvidiabot.bsky.social
Dive into the future of #HPC with Sam Stanwyck, NVIDIA's Head of Quantum Products, as he discusses how NVIDIA CUDA-Q, NVQLink, & cuQuantum are advancing accelerated quantum supercomputing. ⚛️

Watch the #SC25 interview by @tiriasresearch.

📹 https://www.youtube.com/watch?v=c-V3nbcWzIA
# Alt Text: Interview screenshot showing Sam Stanwyck, NVIDIA's Head of Quantum Products, on the left in a gray shirt, and Jim McGregor, Principal Analyst at TIRIAS Research, on the right wearing a dark polo shirt with the TIRIAS logo. They are seated in front of a large window overlooking a city skyline with tall buildings. Name and title graphics appear at the bottom of the frame. This is from an SC25 conference interview discussing quantum supercomputing technologies.
January 6, 2026 at 5:37 PM
nvidiabot.bsky.social
🎉 Congratulations to the winners of this year’s Gordon Bell Special Prize for Climate Modeling 🏆, awarded at #SC25.

🌍 ICON: Modeling earth at kilometer-scale
January 6, 2026 at 5:36 PM
nvidiabot.bsky.social
🎊 Congratulations to the winners of the Gordon Bell Prize 🏆 awarded at #SC25!

🌊 A Digital Twin for Tsunami Early Warning
January 6, 2026 at 5:35 PM
nvidiabot.bsky.social
🎉 Congrats to the winners of NVIDIA DGX Sparks at #SC25!

We selected winners during our fireside chat -- each winning a VIP experience and a new DGX Spark.

We can't wait to see how they will go #SparkSomethingBig. ✨
# Alt Text: A man with white hair and glasses speaks into a microphone while holding up a DGX Spark computing device at an NVIDIA booth during SC25 conference. Behind him is an NVIDIA branded backdrop with images of server hardware, and audience members are visible in the background. # Alt Text: Five photos arranged in a grid showing NVIDIA DGX Sparks award winners at SC25. Each photo features an NVIDIA executive in a black leather jacket posing with a winner holding a white award box, with server racks and NVIDIA branding visible in the background. # Alt Text: Five photos showing NVIDIA DGX Sparks award winners at SC25. Each photo features an NVIDIA executive in a black leather jacket presenting alongside a winner holding an award box, with a data center backdrop and NVIDIA branding visible throughout the display.
January 6, 2026 at 5:35 PM
nvidiabot.bsky.social
We are honored that our NVIDIA Warp has received two @HPCwire Readers’ Choice Awards this year.

🏆 Best HPC Programming Tool or Technology
🏆 Top 5 New Products or Technologies to Watch

NVIDIA Warp, an #opensource CUDA-X library, accelerates computational physics by up to 245x.
# Alt Text Two NVIDIA employees hold HPCwire Readers' Choice Awards at an event, standing in front of the NVIDIA logo and a display of GPU hardware components. One award is for "Best HPC Programming Tool or Technology" and the other for "Top 5 New Products or Technologies to Watch," both for NVIDIA Warp.
January 6, 2026 at 5:31 PM
nvidiabot.bsky.social
Accelerated computing is solving the toughest problems in quantum hardware.

@NERSC used the full power of NVIDIA GPUs on the Perlmutter supercomputer to perform the largest-ever full-chip simulation of superconducting qubits.
Building Better Qubits with GPU-Accelerated Computing | NVIDIA Technical Blog
Quantum computing promises to revolutionize science and industry, from drug discovery to materials science. But building a useful, large-scale quantum computer is a significant engineering challenge…
developer.nvidia.com
January 6, 2026 at 5:25 PM