Intel Nervana Update + Productizing AI Research with Naveen Rao And Hanlin Tang - TWiML Talk #31
Analysis
This article summarizes a podcast episode discussing Intel's AI strategy, particularly focusing on the Nervana Systems acquisition. The conversation highlights Intel's plans to leverage its general-purpose compute leadership to dominate the AI market. Key areas of focus include specialized AI silicon, end-to-end solutions across cloud, enterprise, and edge computing, and tools to facilitate the rapid productization and scaling of AI-based solutions. The article also mentions the release of new tools like Neon 2.0 and Nervana Graph, emphasizing the latter's potential and encouraging readers to explore its GitHub repository.
Key Takeaways
- •Intel is focusing on extending its leadership in general-purpose compute to the AI realm.
- •The company is developing specialized silicon, end-to-end solutions, and tools for AI productization.
- •Nervana Graph is a key new tool for expressing and running deep learning applications.
Reference
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