Together AI builds an agentic compiler to try and bring recursive self improvement capabilities to open source models.

Splitting AI work across devices, edge platforms, and central cloud is how enterprises will make latency, cost, and control ...

Pulling an open-source model, starting a server, and getting an answer to your prompt should take less than 30 minutes. In ...

Anthropic’s provable inference prototype, FlashProve, shows how users may one day verify that an AI model’s answer came from ...

The five-year-old startup raised a $1.3 billion round led by Bessemer.

AI model cost statistics for 2026: training costs from $670 to $192 million, token prices, and why the cost of AI capability ...

Fal AI doubled its valuation to $16 billion as demand for AI inference surged. Here are five lessons founders can take from ...

The global AI inference software market was valued at USD 118.59 billion in 2025 and is projected to reach USD 545.33 billion ...

Together AI announced Polymorphic Inference on November 4, 2026, introducing Together Compiler as its first implementation.

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...

Model inversion and membership inference attacks create unique risks to organizations that are allowing artificial intelligences to be trained using their data. Companies may wish to begin to evaluate ...