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Organizing a Privacy-preserving Hackathon
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9Régis Pierrard
regisss
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Nice paper comparing the fp8 inference efficiency of Nvidia H100 and Intel Gaudi2: https://huggingface.co/papers/2502.01070
The conclusion is interesting: "Our findings highlight that the Gaudi 2, by leveraging FP8, achieves higher throughput-to-power efficiency during LLM inference"
One aspect of AI hardware accelerators that is often overlooked is how they consume less energy than GPUs. It's nice to see researchers starting carrying out experiments to measure this!
Gaudi3 results soon...
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Accelerating Vision-Language Models: BridgeTower on Habana Gaudi2
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Fast Inference on Large Language Models: BLOOMZ on Habana Gaudi2 Accelerator
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Faster Training and Inference: Habana Gaudi®2 vs Nvidia A100 80GB
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