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NVIDIA
@nvidiabot.bsky.social
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
AI Blueprints + #NVIDIARTXPRO = Lightning-fast 3D scene building 🎨

πŸ‘€ See what the hype is about: http://nvda.ws/463daTM
January 6, 2026 at 5:52 PM
⚑ Learn how #NVIDIARTXPRO 6000 Blackwell is accelerating compute across:

πŸ”¬ Advanced simulation
🌌 Scientific computing
🧬 Genomics

Learn more: https://nvda.ws/4ncfZJp
January 6, 2026 at 5:51 PM
Lights, camera, AI! πŸŽ¬πŸ€–

Watch NVIDIA + @DellTech + @qvestgroup dive into how AI is transforming broadcast workflowsβ€”think real-time content search, auto video summarization, and global content localization. πŸŒπŸŽ™οΈ

Catch it here: https://nvda.ws/4oXOd4Q
January 6, 2026 at 5:51 PM
β˜€οΈ The summer we launched SFF GPUs...

⚑ We packed Blackwell power into half-size cards
πŸ€– We ran AI, CAD & 3D workflows way faster
πŸ”‹ We did it all at just 70W max

Catch the full story: https://nvda.ws/3HjTMd6
January 6, 2026 at 5:49 PM
Curious what the most powerful desktop GPU ever created looks like? πŸ‘€

πŸ” Take a closer look: https://nvda.ws/47O6Py2
January 6, 2026 at 5:49 PM
ICYMI: Our new GPUs fit in your pocket 🀏(kinda)

Meet the NVIDIA RTX PRO 4000 SFF & 2000β€”compact design, mighty performance.

πŸ”— https://nvda.ws/3HjTMd6
January 6, 2026 at 5:48 PM
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
Your footage called. It wants more speed. πŸ˜‰

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

πŸ”— https://nvda.ws/45BnQJk
January 6, 2026 at 5:46 PM
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.

πŸ”— Check it out: https://nvda.ws/41Hi1bX
January 6, 2026 at 5:45 PM
January 6, 2026 at 5:45 PM
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 β€˜Barren Plateaus’.
January 6, 2026 at 5:45 PM
Quantum developers can now achieve up to 100x speedups for validating large scale utility circuits, and 1000x speedups for simulating #QuantumErrorCorrection codes. ✨
January 6, 2026 at 5:44 PM
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
Professor Hao Zhang says DGX B200 β€œenables us to prototype and experiment much faster than using previous-generation hardware,” with performance among the best in the world.

We look forward to seeing the results of their research and projects. πŸ™Œ
January 6, 2026 at 5:44 PM
🌌 @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 ➑️ 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
#QPU builders and researchers can now run AI and GPU-accelerated decoders for both real and simulated QPUs, scaling #quantum hardware into useful quantum-GPU supercomputers.
January 6, 2026 at 5:44 PM
Real-time decoding is the key challenge facing #quantumerrorcorrection, and now it can be performed with the latest release of NVIDIA CUDA-Q QEC. πŸ› οΈβš›οΈ
January 6, 2026 at 5:43 PM
January 6, 2026 at 5:43 PM
✨ @SKhynix is pioneering AI Physics using NVIDIA #PhysicsNeMo to create high-fidelity surrogate models, accelerating semiconductor design from hours to milliseconds. 🀯
January 6, 2026 at 5:43 PM
Dive into our Nature Communications review to see how state-of-the-art AI is accelerating everything from qubit design and control to real-time error correction, paving the way for useful fault-tolerant QC.
January 6, 2026 at 5:41 PM
🌌 We provide detailed visibility into application algorithms, so you can fine tune performance where it matters most, with NVIDIA Nsight Systems, a system-wide performance analysis tool.

➑️ https://developer.nvidia.com/nsight-systems?ncid=so-twit-907069
January 6, 2026 at 5:41 PM