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io.net
@ionet
The intelligent stack for powering AI workloads | decentralized GPUs | io.intelligence: inference & agents |
Joined May 2018
176 Following    431.5K Followers
This sums up the problem with AI today. Full-stack works if you're @OpenAI. They control the chips and the models, and have the capital for both. Normal AI teams don't have that luxury. They need throughput and low latency without owning the silicon. That's the gap closes. Access to high-performance compute, not just for the few who can build their own chip.
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Since announcing Jalapeño, our first custom inference chip, we’ve been testing it and the system around it. The results show a major advance: more intelligence from every watt and faster responses, delivering both higher throughput and lower latency in one architecture without sacrificing efficiency.
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