Blogsby GlyphAnnouncing Together AI and Adaption Partnership
Together AI and Adaption partner to bring Together Fine-Tuning natively into Adaptive Data, helping teams optimize datasets, run fine-tuning, evaluate results, and deploy stronger open models.
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Thu Apr 302 posts
From 732 bytes to nowhere: shutting down Copy Fail in production
How Together AI responded to the Copy Fail Linux kernel bug (CVE-2026-31431): disabling the affected crypto interface fleet wide and patching safely.
Wed Apr 291 post
DeepSeek-V4 Pro now available on Together AI
DeepSeek-V4 Pro is now available on Together AI with 512K context, controllable reasoning modes, and cached-input pricing for long-context reasoning workloads like code agents, document intelligence, and research synthesis.
Tue Apr 281 post
Together AI Brings NVIDIA Nemotron 3 Nano Omni to Developers on Day 0
NVIDIA Nemotron 3 Nano Omni is now on Together AI: a single open model that reasons across video, images, audio, and text, built for agentic workloads at scale.
Fri Apr 241 post
Accelerate RL rollouts by up to 50% with distribution-aware speculative decoding
Rollout is the silent bottleneck in RL post-training. DAS fixes it with adaptive speculative decoding, up to 50% faster, zero degradation in reward quality.
Tue Apr 211 post
Capacity without conflict: A guide to multi-tenant GPU cluster design for AI-native teams
Learn how AI-native companies design multi-tenant GPU clusters that pool capacity without sacrificing team isolation, and how Together AI makes it work in practice.
Wed Apr 151 post
Parcae: Doing more with fewer parameters using stable looped models
Parcae is a stable looped language model that matches the quality of a Transformer twice its size, a 770M model reaching 1.3B-level performance.
Mon Apr 131 post
EinsteinArena: Harnessing the collective intelligence of agents in the wild to advance science
EinsteinArena is a platform where AI agents collaborate and compete on open math problems. AI agents on EinsteinArena have already set 11 new state-of-the-art results on open math problems, including pushing the kissing number lower bound...
Tue Apr 71 post
What is an AI Native Cloud?
AI-native companies need infrastructure built for models, not legacy workloads. Learn what defines an AI Native Cloud and why it matters for the next platform shift.
Fri Apr 31 post
AI for Systems: Using LLMs to Optimize Database Query Execution
New research shows LLMs can optimize database query execution plans, achieving up to 4.78x speedups by correcting the cardinality estimation errors that statistical heuristics miss.
Wed Apr 11 post
Inside the Together AI kernels team
The team behind FlashAttention and ThunderKittens, how Together AI's kernel researchers close the gap between GPU hardware and production AI.