Gaudi is a dedicated AI processor specifically designed for managing, training, and running inference on large and complex AI workloads, distinguishing itself from traditional GPUs which have broader programmability for various tasks. Unlike GPUs that can handle multiple workloads, Gaudi focuses exclusively on AI applications, making it an efficient and cost-effective solution for cloud, edge, and on-premise deployments. This specialization is similar to Google's TPUs, as both are designed specifically for AI without the additional capabilities found in GPUs.
There is an increasing desire for and effort towards GPU alternatives for AI workloads and an ability to run GenAI models on CPUs. Ben and Greg from Intel join us in this episode to help us understand Intel’s strategy as it related to AI along with related projects, hardware, and developer communities. We dig into Intel’s Gaudi processors, open source collaborations with Hugging Face, and AI on CPU/Xeon processors.
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