Vitalik Buterin Says DeepSeek v4 Supports Local AI Setup on Ethereum
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Ethereum co-founder Vitalik Buterin tested DeepSeek v4 and reported a 2-bit quantized model requiring about 90 GB VRAM that supports larger local AI workloads on a single high-end machine and integration with the Ethereum network. He measured ~35 tokens/sec on Apple hardware versus ~7 tokens/sec on AMD and linked CROPS AI and Ethereum tools to accelerating local-first AI infrastructure, a protocol update likely to boost crypto adoption and on-chain AI use cases.
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- Vitalik Buterin tested DeepSeek v4 and shared local AI performance results.
- Buterin found that DeepSeek v4 runs faster on Apple hardware than on AMD hardware.
- Buterin linked CROPS AI and Ethereum tools to the growth of local-first AI infrastructure.
Ethereum co-founder Vitalik Buterin says the recently released DeepSeek Version 4 supports his local AI setup on the Ethereum network. In his latest post on X, Buterin highlighted a new 2-bit quantized version that runs about 90 GB VRAM, with the capacity to handle larger workloads on a single high-end machine.
DeepSeek v4 Hardware Compatibility
Following an independent test of the protocol, Buterin noted that the results showed about 35 tokens per second on Apple hardware and about 7 tokens per second on AMD hardware. According to him, this wide performance gap highlights why local AI will pay closer attention to ha…
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