Intel unveiled its new Gaudi-3 AI accelerator at the Intel Vision conference, positioning itself as a strong competitor to Nvidia H100. The Gaudi-3 offers 40% better performance and improved power efficiency, making it an attractive option for generative AI models. MLPerf benchmarks are expected in the next six months to provide a more comprehensive analysis.
Intel established itself as a competitive alternative to the Nvidia H100 , joining AMD in offering a platform that can run the generative AI models more cost-effectively.
Intel took the covers off the new Gaudi-3 AI accelerator this week at the annual Intel Vision conference. Net-Net: Intel looks to have a very competitive platform for generative AI compared to Nvidia H100/200 , with 40% better performance, plus or minus, at much better power efficiency. For a more complete analysis, we hope to see MLPerf benchmarks in the next six months.
The new Gaudi 3 is built on TSMC 5nm manufacturing node, and sports 128GB of HBM3E memory and twice the Ethernet performance of its predecessor. While the Gaudi 3 has 8 matrix engines and 64 Tensor processors, it does not have the 4-bit math operators found in the new B100, which can double performance of inference processing. While Ethernet support will ease adoption for Enterprises, it does not have the performance of NVLink5, which will be preferred by those building massive AI factories.
Intel Gaudi-3 AI Accelerator Nvidia H100 Generative AI Performance Power Efficiency Mlperf Benchmarks
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