Steve McDowell is chief analyst at NAND Research. Steve is a technologist with over 25 years of deep industry experience in a variety of strategy, engineering, and strategic marketing roles, all with the unifying theme of delivering innovative technologies into the enterprise infrastructure market.
The new accelerator offers significant improvements over the previous generation Gaudi 3 processor, promising to bring new competitiveness to training and inference for LLM s and multimodal models. Gaudi 3 dramatically increases AI compute capabilities, delivering substantial improvements over Gaudi 2 and competitors, particularly in processing BF16 data types, which are crucial for AI workloads. Gaudi 3 incorporates significant architectural advancements, including more TPCs and MMEs.
Gaudi 3 expands its hardware capabilities with more Matrix Math Engines and Tensor Cores than its predecessor, Gaudi 2. Specifically, it increases from 2 to 4 MMEs and 24 to 32 TPCs, bolstering its processing power for AI workloads.The new accelerator boasts an FP8 precision throughput of 1835 TFLOPS, doubling the performance of Gaudi 2. It also significantly enhances BF16 performance, although specific throughput figures for this improvement were not disclosed.offering 3.
Gaudi 3 AI Nvidia AMD Mi300x H100 LLM Genai AI Infrastructure
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