DeepSeek 4x Faster: How Together AI's ATLAS System Works for LLMs

Together AI has introduced ATLAS, an adaptive speculator built on machine learning that speeds up LLM inference 4x with no manual tuning. The system learns automatically and adapts to your workload as you use it. On DeepSeek-V3.1 it reaches 500 tokens per second. That is 2.65 times faster than standard decoding, and it outperforms Groq's specialized hardware.

AI-processed from Together AI Blog; edited by Hamidun News
DeepSeek 4x Faster: How Together AI's ATLAS System Works for LLMs
Source: Together AI Blog. Collage: Hamidun News.
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Together AI's ATLAS system can speed up inference for LLMs such as DeepSeek-V3.1 and Kimi-K2 by 4x, to 500 and 460 tokens per second respectively, with no manual tuning.

Which models does ATLAS work with?

ATLAS speeds up DeepSeek-V3.1 to 500 tokens per second and Kimi-K2 to 460 tokens per second, improving automatically as it is used.

What is speculative decoding?

Speculative decoding is one of the most powerful ways to speed up text generation in language models. In the standard approach, the model generates one token at a time; speculative decoding lets it process several tokens at once.

How much does ATLAS speed up DeepSeek?

ATLAS speeds up DeepSeek-V3.1 to 500 tokens per second, a 4x speedup. On Kimi-K2, the system reaches 460 tokens per second.

What results does ATLAS deliver on DeepSeek?

On DeepSeek-V3.1, ATLAS reaches 500 tokens per second (roughly a 4x speedup); on Kimi-K2, it reaches 460 tokens per second.

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Key Questions Answered

Which models does ATLAS work with?

ATLAS speeds up DeepSeek-V3.1 to 500 tokens per second and Kimi-K2 to 460 tokens per second, improving automatically as it is used.

What is speculative decoding?

Speculative decoding is one of the most powerful ways to speed up text generation in language models. In the standard approach, the model generates one token at a time; speculative decoding lets it process several tokens at once.

How much does ATLAS speed up DeepSeek?

ATLAS speeds up DeepSeek-V3.1 to 500 tokens per second, a 4x speedup. On Kimi-K2, the system reaches 460 tokens per second.

What results does ATLAS deliver on DeepSeek?

On DeepSeek-V3.1, ATLAS reaches 500 tokens per second (roughly a 4x speedup); on Kimi-K2, it reaches 460 tokens per second.

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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