Quote Tweet: https://twitter.com/i/status/1963255671660441911
AI Blueprints + #NVIDIARTXPRO = Lightning-fast 3D scene building 🎨
👀 See what the hype is about: http://nvda.ws/463daTM
⚡ Learn how #NVIDIARTXPRO 6000 Blackwell is accelerating compute across:
🔬 Advanced simulation
🌌 Scientific computing
🧬 Genomics
Learn more: https://nvda.ws/4ncfZJp
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
# 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.
☀️ 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
Curious what the most powerful desktop GPU ever created looks like? 👀
🔍 Take a closer look: https://nvda.ws/47O6Py2
Quote Tweet: https://twitter.com/i/status/1954931074942837100
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
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
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
# 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.
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
Explore the 22-qubit demo and see #CUDAQ in action: nvidia.github.io/cuda-quantum/latest/appl...
# 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.
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’.
🔗 Dive into the benchmarks and code samples here: developer.nvidia.com/blog/advanced-large-scal...
Quantum developers can now achieve up to 100x speedups for validating large scale utility circuits, and 1000x speedups for simulating #QuantumErrorCorrection codes. ✨
The new #cuQuantum SDK v25.11 is here, introducing cuPauliProp and cuStabilizer to supercharge large-scale #QuantumComputing simulations on NVIDIA GPUs. ⚡️
Professor Hao Zhang says DGX B200 “enables 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. 🙌
🌌 @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 ➡️ blogs.nvidia.com/blog/ucsd-generative-ai-...
Read the full technical deep dive: developer.nvidia.com/blog/real-time-decoding-...
#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.
# 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.
Real-time decoding is the key challenge facing #quantumerrorcorrection, and now it can be performed with the latest release of NVIDIA CUDA-Q QEC. 🛠️⚛️
Learn how to leverage this framework in our latest tech blog. 👉 developer.nvidia.com/blog/using-ai-physics-fo...
# 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.
✨ @SKhynix is pioneering AI Physics using NVIDIA #PhysicsNeMo to create high-fidelity surrogate models, accelerating semiconductor design from hours to milliseconds. 🤯
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.
The path to scalable #quantumcomputing is being supercharged by AI. 💡
🌌 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.
➡️ developer.nvidia.com/nsight-systems
The @IBM Storage Scale System 6000 and NVIDIA Spectrum-X networking deliver top performance across storage and networking layers, helping enterprises accelerate #HPC, AI, and data intensive workloads.
⚡ High-performance storage and deep application insight are the foundation of true optimization.
CUDA Programming Guide: Everything CUDA for novices and experts.
🔗 Download the toolkit and see the next era of GPU programming: developer.nvidia.com/blog/nvidia-cuda-13-1-po...
✅ Announcing CUDA Tile: Future-proof kernels by abstracting Tensor Cores.
✅ Performance Wins: Up to 4x speed-up with cuBLAS Grouped GEMM & 2x in cuSOLVER on Blackwell.
✅ Green Contexts: Finer GPU resource control via Runtime API.
✅ New Tooling: Nsight Compute now profiles CUDA Tile kernels.
✅ New
# 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.
🚨 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:
