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nvidia h100

Filtered to launch pattern ×
25 articles decelerating
Articles
25
mentions
Velocity
-75.0%
growth rate
Acceleration
-1.083
velocity change
Sources
15
publications

Coverage Timeline

2025-11-30
@artificialanlys 2 related

An analysis of Google TPU v6e vs AMD MI300X vs Nvidia H100/B200: Nvidia achieves a ~5x tokens-per-dollar advantage over TPU v6e and 2x advantage over MI300X

@artificialanlys :

2025-11-29
@artificialanlys 2 related

An analysis of Google TPU v6e vs AMD MI300X vs Nvidia H100/B200: Nvidia achieves a ~5x tokens-per-dollar advantage over TPU v6e and 2x advantage over MI300X

Google TPU v6e vs AMD MI300X vs NVIDIA H100/B200: Artificial Analysis' Hardware Benchmarking shows NVIDIA achieving a ~5x tokens-per-dollar advantage over TPU v6e (Trillium), and a ~2x advantage over ...

2025-03-16
Bloomberg

Google's Gemma 3 and Cohere's Command A, which require just one or two Nvidia H100 chips to run, hint at an industry-wide push for more efficient AI software

Rachel Metz / Bloomberg :

2024-06-13
IEEE Spectrum 12 related

MLCommons shares results from its MLPerf 4.0 training benchmarks, which added Google's and Intel's AI accelerators; Nvidia H100 GPUs topped all nine benchmarks

For years, Nvidia has dominated many machine learning benchmarks, and now there are two more notches in its belt.

2024-03-28
IEEE Spectrum 15 related

MLCommons shares the results from its MLPerf 4.0 inferencing benchmarks, which added Llama 2 70B and Stable Diffusion XL; PCs with Nvidia GPUs came out on top

no Blackwell submissions yet, sorry Karl Freund / Forbes : Nvidia Sweeps AI Benchmarks While AMD Misses The Boat. Again. Intel : Intel Gaudi 2 Remains Only Benchmarked Alternative to NV H100 for GenAI...

2023-09-20
The Verge 5 related

The Chan Zuckerberg Initiative plans to build an AI GPU cluster of 1,000+ Nvidia H100 GPUs to run “openly available” models of human cells for medical research

2023-09-19
The Verge 3 related

The Chan Zuckerberg Initiative plans to build an AI GPU cluster of 1,000+ Nvidia H100 GPUs to run “openly available” models of human cells for medical research

Mark Zuckerberg and Priscilla Chan's foundation is funding the construction of a massive computing system for medical research.

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