Together AI — latest updates

Recent items

• Introducing Together Link: Run open models inside the harness you already use →
  Introducing Together Link: Run open models inside the harness you already use →
• The Open Source AI Stack: models, inference, routers, harnesses & tools →
  The Open Source AI Stack: models, inference, routers, harnesses & tools →
• 📈 GLM-5.3 vs. GLM 5.3 Flash on DeepSWE →
  📈 GLM-5.3 vs. GLM 5.3 Flash on DeepSWE →
• FlashAttention
  FlashAttention
• Kernel Collection
  Kernel Collection
• ThunderKittens
  ThunderKittens
• Blog Our latest news & blog posts
  Blog
• GPU Clusters Together AI and Y Combinator partner to launch the first dedicated GPU cluster for the YC community No more two-year compute contracts. Together AI and YC just gave YC startups a faster way to get GPUs.
  Together AI and Y Combinator partner to launch the first dedicated GPU cluster for the YC community
• Inference A/B test models in production Shadow traffic proves a candidate is operationally sound. It can't tell you if users like it better. Run the split at the endpoint instead of in your app code.
  A/B test models in production
• Research Together AI at ICML 2026: frontier research across the full stack Nine papers at ICML 2026 across the full stack. The research that becomes the Together platform. Find us at booth B714 in Seoul.
  Together AI at ICML 2026: frontier research across the full stack
• Model Library Kimi K3: the complete developer guide Kimi K3 is the first open 3T-class model. See how it benchmarks, what it costs, and how to call it on the Together AI API, with copy-paste code examples.
  Kimi K3: the complete developer guide
• Inference Configuring Dedicated Model Inference The three-part resource model behind Together AI Dedicated Model Inference—endpoints, deployments, configs—and how capacity-aware routing ties them together.
  Configuring Dedicated Model Inference
• Inference The production platform for open-weight AI inference Run open models in production with full control over performance, cost, and quality. Deploy in minutes, roll out safely, and scale to your SLOs.
  The production platform for open-weight AI inference
• Inference Benchmarking inference at scale: coding agents Real-world inference benchmarks for coding agents: 31% more TPS than TensorRT-LLM, 2× better TTFT at saturation, and 76% lower cost than Claude Opus 4.6.
  Benchmarking inference at scale: coding agents
• Company 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.
  What is an AI Native Cloud?

Source feed: https://www.together.ai/blog

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