Kimi K3 is now live on Together AI. We’re proud to be a Day 0 launch partner for @Kimi_Moonshot’s open frontier model, built for long-running agentic workflows across code, tools, vision, and research.

This is what strong inference economics unlock. @rox_ai built its own search agent, ran it in production for 6+ months, and reached 91.3% accuracy at 1.03¢ per query. Together AI is proud to help power the inference behind it.

YC and Together AI are partnering to bring the first dedicated YC GPU cluster online, giving YC startups easier access to the compute they need to build and scale. In this Founder Fireside, YC's @agupta and @togethercompute co-founder & CEO @vipulved dig into why compute has become one of the biggest bottlenecks for modern AI companies, how Together AI is helping more than 8,000 customers—from early-stage research teams to companies like Cursor, Cognition, and ElevenLabs—train, fine-tune, and serve AI models, and why flexible access to GPUs is becoming a competitive advantage for the next generation of founders. 00:00 — Partnering on a GPU Cluster 00:26 — What Together AI Does 01:22 — From Research Labs to Cursor: Together's 8,000 Customers 01:58 — The Landscape of AI Native Startups 03:24 — How Building an AI Company Has Changed Since 2018 04:56 — Why the Cost of Compute Keeps Going Up 05:29 — YC as the Biggest Seed Funder of Research Companies 08:47 — Flash Attention, Mamba, and the Science of Production AI 10:43 — Compute Planning Advice for Early Stage Companies 12:39 — When Your Compute Bill Is Bigger Than Your Cash Balance 13:31 — How Companies Are Using the Cluster Today 14:24 — What's Next

It has been clear to many of us, and now it’s becoming clear more tangibly, that AI models will commoditize to various degrees. This is of course a difficult business reality if your core business depends on exclusivity on intelligence. But commodity markets are not communism. They are the largest markets on earth. Oil, grain, steel, electricity, memory: trillions clear through them every year, priced by competition among thousands of suppliers. In economic terms, communism is one provider and no price. A commodity market is the precise inverse. The world that actually resembles central planning is the one Dean argues for: a set of protected incumbents, access gated by the state, agencies instructed to manufacture FUD until every regulated buyer, and transitively every tool maker upstream, backs away from cheaper competitors. Open weights don't deter capex. They move it. When the model layer commoditizes, spend shifts to inference, data, tooling, and applications, and builds far broader industrial infrastructure rather than concentrating capital in a handful of companies. Most of our digital infrastructure today, hyperscalers included, runs on open source. The businesses built atop it keep excellent margins and compound at extraordinary rates. Open-weights intelligence will likely rank among the most important economic accelerations in history. It won't be kind to every early incumbent, Linux wasn't kind to Sun Microsystems, but it will be very good for almost everyone else. I suspect OpenAI and Anthropic, given their positions, excellent products, resources and talent density, will be just fine. They will simply hold a little less pricing power. The security theater around Mythos continues to do damage. Of course, there is no evidence for the hysterical claims. The evidence is in fact so thin that proponents of AI's existential risks now openly recommend FUD as the strategy. That should be telling.

the unreasonable effectiveness of a good harness👇 > you can get 30-60% cost reduction by smart harness engineering > 30-50% wall-clock per task speed up very cool paper: "The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI"

We analyzed Kimi K3 vs. Claude Fable 5 for software engineering tasks using DeepSWE. Kimi K3 gets you the same performance as Fable 5 at ~35% of the price, and it actually pulls ahead at higher pass@k's. More insights in the thread!

We just added full Grok Build support to TogetherLink to celebrate their open source launch!🔥 You can run @togethercompute OSS models inside the newly open-sourced Grok Build with tgrok. Zero config changes. Sessions resume perfectly.

Nemotron 3 Ultra is taking off on Together AI 🚀 In just days, it's climbed to 35B tokens/day on @OpenRouter. That's the community voting with their tokens for open models that are fast, efficient, and fully customizable. A top open model from @NVIDIA, fully customizable and available on Together AI.