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NVIDIA Launches SOL-ExecBench: A 'Speed-of-Light' GPU Performance Benchmark
NVIDIA Launches SOL-ExecBench: A 'Speed-of-Light' GPU Performance Benchmark
 ### NVIDIA AI@NVIDIAAI
We now have a benchmark that turns GPU performance into a “speed‑of‑light” score so you can see how much hardware headroom is left.
Excited to see which tools top the leaderboard.
#### NVIDIA AI Developer
@NVIDIAAIDev · 7h ago
How close can you get to the speed of light? ⚡
Introducing SOL-ExecBench from NVIDIA — a benchmark for real-world GPU kernels that measures performance against hardware-grounded Speed-of-Light (SOL) bounds, not just software baselines.
It includes 235 CUDA kernel optimization problems extracted from 124 production and emerging AI models, spanning forward and backward workloads across BF16, FP8, and NVFP4 on NVIDIA Blackwell GPUs.
Dive in:
🏆Leaderboard:research.nvidia.com/benchmarks/sol…O
🤗 Datasethuggingface.co/datasets/nvidi…l8
💻 Evaluatogithub.com/nvidia/sol-exe…eF4
📑 Paparxiv.org/abs/2603.191730Ufo Show More
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Mar 20, 2026, 8:22 PM View on X
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3,634 Views  NVIDIA AI @NVIDIAAI
One Sentence Summary
NVIDIA introduces SOL-ExecBench, a benchmark that converts GPU performance into a 'speed-of-light' score to measure hardware headroom against hardware-grounded bounds.
Summary
NVIDIA has released SOL-ExecBench, a new benchmark for real-world GPU kernels that measures performance against hardware-grounded Speed-of-Light (SOL) bounds rather than traditional software baselines. The benchmark includes 235 CUDA kernel optimization problems extracted from 124 production and emerging AI models, covering forward and backward workloads across BF16, FP8, and NVFP4 formats on NVIDIA Blackwell GPUs. This tool enables developers to quantify how close their GPU implementations are to the theoretical performance limits.
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Published At Yesterday
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NVIDIA
GPU
Benchmark
CUDA
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