… NVIDIA Performance on MLPerf 5.1 Training Benchmarks NVIDIA Performance on MLPerf 5.1’s AI Benchmarks: Single Node, Closed Division Framework Network Time to Train mins MLPerf Quality Target GPU Server MLPerf-ID Precision Dataset GPU Version Nemo Llama2-70B-Lora 6 0.925 Eval loss 8x GB300 Theia 1x … …
… More enhancements in vGPU 20 In addition to supporting NVIDIA RTX PRO 4500 Blackwell Server Edition, vGPU 20 introduces the following enhancements designed to accelerate modern applications and ensure consistent performance within virtualized environments: New NVIDIA AI Virtual Workstation vWS Tool… …
… Blackwell GB200 exp2 BF16x2 2454 Gop/s 4908 GFLOPS exp2 BF16 4938 Gop/s exp2 FP32 4943 Gop/s Blackwell Ultra GB300 exp2 BF16x2 4996 Gop/s 9992 GFLOPS exp2 BF16 9738 Gop/s exp2 FP32 Time: 10024 Gop/s Attention forward propagation performance in Blackwell vs Blackwell Ultra The transition from Blackw… …
… NVFP4 enables large performance leaps for training and inference on the Blackwell architecture—and beyond NVIDIA Blackwell Ultra GPUs provide peak dense NVFP4 throughput up to 15 petaFLOPS—3x that of FP8 on the same GPUs. …
… Out-of-the-box NVIDIA Blackwell performance insights Whether developers are deploying the 1.6T Pro model for advanced reasoning or the 284B Flash model for high-speed efficiency, Blackwell provides the scale and low-latency performance required for a new era of 1M long-context inference and trillio… …
… What’s New in PyNvVideoCodec 2.0 for Python GPU-Accelerated Video Processing NVIDIA Video Codec SDK 13.0 Powered by NVIDIA Blackwell Enabling Stereoscopic and 3D Views Using MV-HEVC in NVIDIA Video Codec SDK 13.0 Key Features Encode, Decode Performance Multiplier Hardware encode and decode video pr… …
… NVIDIA Blackwell Ultra Delivers up to 50x Better Performance and 35x Lower Cost for Agentic AI Built to accelerate the next generation of agentic AI, NVIDIA Blackwell Ultra delivers breakthrough inference performance with dramatically lower cost. …
… Learn about how Mixture of Experts Powers the Most Intelligent Frontier AI Models, Runs 10x Faster on NVIDIA Blackwell NVL72 in this blog . View More Performance Data Training to Convergence Deploying AI in real-world applications requires training networks to convergence at a specified accuracy. …
… NVFP4 enables 4-bit precision while maintaining nearly identical accuracy to 8-bit precision, increasing performance per watt and lowering cost per token. …
… Cooling as a performance per watt multiplier Improving performance per watt does not stop at the chip. How systems are cooled also impacts how much power is available for computation. NVIDIA Blackwell systems reduce cooling overhead, operating around 1.25 PUE, with about 20% of capacity air‑cooled. …