Practical AI
Gaudi processors & Intel's AI portfolio
Aug 7, 2024
Benjamin Consolvo, AI engineering manager at Intel, and Greg Serochi, Developer ecosystem manager at Intel Gaudi, dive into Intel's cutting-edge AI strategy. They discuss Gaudi processors as an innovative alternative for AI workloads on CPUs, rivaling traditional GPU solutions. Insights on open-source collaborations with Hugging Face highlight their community-driven approach. The duo elaborates on practical applications of Intel's technology in deep learning and computer vision, shaping the future of AI integration and deployment.
46:28
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Quick takeaways
- Intel's Gaudi processors serve as a robust alternative to GPUs, enhancing AI applications with efficient performance and compatibility.
- The company's strong collaboration with the open-source community and tools like PyTorch facilitates seamless transitions for developers migrating from NVIDIA.
Deep dives
Intel's Commitment to AI Hardware and Software
Intel is making significant advancements in the AI landscape by focusing on both hardware and software solutions. The introduction of the Xeon product line allows for efficient data center CPU usage, while the AI PC combines CPU, GPU, and neural processing unit (NPU) to optimize local machine workloads. Additionally, the Gaudi product line has emerged as a competitive alternative to modern GPUs, showcasing powerful performance for AI applications. Intel's ongoing developments include the upcoming Falcon Shores, an all-purpose data center GPU, aimed at further enhancing its capabilities in providing AI solutions.
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