Is the GPU vs IPU battle over before it really began?

With Graphcore in urgent need of financing, it looks like a knockout for GPU.

David Harold

Graphcore, a chip startup, aimed to differentiate itself in the AI market by offering an alternative to Nvidia’s GPUs. The company’s IPU (Intelligence Processing Unit) is designed to process information more like a human brain and is said to be more efficient and cost-effective than GPUs. However, benchmarks and performance comparisons between Graphcore’s IPUs and Nvidia’s GPUs are complex and depend on various factors. There is not a clear winner for all use cases. Graphcore is targeting the high-end market, including supercomputers and government research facilities. It is also exploring the AI-as-a-Service (AIaaS) model and aims to offer an open

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