NVIDIA says everything is faster on the H100, with its new transformer engine boosting training up to 6x. Of the 90 systems included in today’s results, 82 used NVIDIA accelerators ...

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Nvidia’s H100 Hopper GPUs, revolutionizing AI with unprecedented speed and power, are now widely available to customers. ... The new GPU benefits from a built-in Transformer Engine, ...

The H100 includes 80 billion transistors and a special "Transformer Engine" to accelerate machine learning tasks. It also supports Nvidia NVLink, which links GPUs together to multiply performance.

What we don’t know is how the Transformer Engine in the H100 will increase performance significantly (4X) might offset AMD’s memory capacity and bandwidth advantage.

Compared to Nvidia's H100 chip, Intel projects a 50 percent faster training time on Gaudi 3 for both OpenAI's GPT-3 175B LLM and the 7-billion parameter version of Meta's Llama 2.

To set the stage, though, let’s do one little bit of math before we get into the feeds and speeds of the AWS AI compute engines. During the re:Invent keynote by AWS chief executive officer Adam ...

The MI300X is competitive with Nvidia's H100 on AI inference benchmarks, particularly for the Llama 2 model with 70 billion parameters. However, tests across different AI models are still needed.

Intel says that its new Gaudi 3 AI accelerator offers up to 1856 BF16/FP8 matrix TFLOPS as well as up to 28.7 BF16 vector TFLOPS at around 600W TDP, which when compared to the NVIDIA H100 AI GPU ...

DeepSeek AI is using 50,000 Nvidia H100 but workers "can't talk about it" because of U.S. export restrictions, according to CEO of Scale AI Alexandr Wang. The launch of the Chinese tech startup ...