PulseAugur
EN
LIVE 06:02:48

Together AI launches adaptive LLM inference system ATLAS

Together AI has introduced ATLAS, a novel adaptive-learning system for speculative decoding that dynamically improves LLM inference performance without manual tuning. Unlike standard or custom speculators, ATLAS continuously learns from runtime usage and evolving workloads to optimize token drafting in real time. This system achieves significant speedups, reaching up to 500 TPS on DeepSeek-V3.1 and 460 TPS on Kimi-K2, outperforming even specialized hardware like Groq. AI

IMPACT Accelerates LLM inference speed and reduces costs by dynamically optimizing speculative decoding.

RANK_REASON Product launch of a novel inference optimization technique for LLMs. [lever_c_demoted from significant: ic=1 ai=1.0]

Read on Together AI blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Together AI launches adaptive LLM inference system ATLAS

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Research
Product launch of a novel inference optimization technique for LLMs. [lever_c_demoted from significant: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
95 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Together AI blog TIER_1 Türkçe(TR) ·

    AdapTive

    LLM inference that gets faster as you use it. Our runtime-learning accelerator adapts continuously to your workload, delivering 500 TPS on DeepSeek-V3.1, a 4x speedup over baseline performance without manual tuning.