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title: The Porsche Cayenne Electric Packs Formula E Fury
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# The Porsche Cayenne Electric Packs Formula E Fury

**[IEEE Spectrum](https://daily.dev/sources/ieeespectrum)** · 14 min read · 0 upvotes · 0 comments

## Summary

Researchers at Stanford have developed Onyx, a coarse-grained reconfigurable array (CGRA) chip that is the first hardware accelerator to natively support both sparse and dense AI computations. Most AI model parameters are zero or near-zero (sparsity), but current GPUs and CPUs waste energy computing with these zeros. Onyx skips zero-valued calculations entirely, achieving up to 565x better energy-delay product over a 12-core Intel Xeon CPU. Unlike existing solutions from Cerebras or Meta's MTIA, Onyx handles both structured and unstructured sparsity across all operation types — not just matrix multiplication. The team is now working on next-generation chips with full ML operation support and better integration of sparse and dense computation on the same silicon.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://spectrum.ieee.org/porsche-cayenne-electric>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#gpu](https://daily.dev/tags/gpu), [#neural-networks](https://daily.dev/tags/neural-networks)

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