
Converting AI Models into Smaller Form Factors
Our upcoming Helios Project will make AI models faster, smaller, and just as accurate.
At Nothing Inc., we are redefining the boundaries of intelligence, revolutionizing AI to create solutions the world has never seen.

Our upcoming Helios Project will make AI models faster, smaller, and just as accurate.

With the Atom Project — our Key-Value Cache Compression system — we are getting, on average across different model families, 86.2% VRAM savings versus the original model's KV Cache.
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The Atom Project doesn't just seek to make AI models smaller — we are also able to utilize it directly with any Transformers-based model's Key-Value Cache.
“The compute required for AI training is growing exponentially — this is not sustainable unless we innovate on efficiency. We must figure out how to achieve more with less.”
— Sam Altman
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