Fireworks

GLM 5.3 Flash is now available for training on the Serverless Training API - accessible to all, with both vision and text support. This model performs great on our benchmarks for agentic coding, document analysis, and tool use while being cost-efficient to serve. Get started today: https://docs.fireworks.ai/fine-tuning/training-api/serverless

DeepSeek V4.1 Flash is now available for training on both the Dedicated Training API and Managed Training surfaces! It's a strong base for agentic coding, terminal automation, and tool use. It's also very cost-efficient to serve. Get started today: https://docs.fireworks.ai/fine-tuning/models

Rollouts drive most of RL's compute cost. But splitting rollout and training across engines risks numerical mismatches, and in MoE models, that can even send tokens to different experts. We co-build both engines at Fireworks, so training stays fast and consistent. Learn more: https://bit.ly/4ALjga5

We’re working to build the largest collection of private and public practitioner evals. Today, 31 new partners join the Specialized Intelligence Index. Compare open, closed, and specialized models on real work, weigh quality against cost, and see where training could pay off. https://fireworks.ai/specialized-intelligence-index/

Congrats to the @Fulcrum_inc team on Echo! Final training runs were done entirely via Fireworks' serverless training API, on a Kimi K3 LoRA (rank 32). Make sure to read their writeup, which includes the "persona post-training" approach and how they landed a $4.5k total training cost.

New in Nexus: Savings See how much Fireworks open models and FireRouter are saving your team, by user and model. Plus, track your cache hit rate. Check out Nexus: https://bit.ly/4y3vrfW

Last call to apply for Fireworks: Deploy. Mon, Nov 2 in San Francisco. Teams of 2+ take open models up against a closed frontier model on a task they define. 1st place takes $10,000. Approval required and space is limited: https://bit.ly/deployx

Turns out you don't need a frontier lab budget to build a solid decision classifier. Our Head of AI Developer Education @prof_oz fine-tuned a 9B Jev-style classifier on Fireworks using plain SFT, public datasets, and two simple tricks. The full recipe is open source, so you can train your own.

https://x.com/i/article/2108789427233587200

Yes, it’s true! @dhh is speaking at Fireworks Forge sharing his new thoughts on AI coding. In a fireside chat, we'll talk controlling the AI stack and what that means for small teams building specialized intelligence. Join us Nov 3 in SF: https://bit.ly/3TxgUuB

DeepSeek V4.1 Flash 1017 runs at 1,521+ tok/s on Fireworks Ultrafast. Fast enough to ship Tetris in 11 seconds, 7x faster than Claude Opus 5.5. Join the Ultrafast waitlist: https://bit.ly/3UA0wKq

New models and agents ship every week. How do you know which ones actually work for your product? @sarahmsachs, Head of AI at @NotionHQ, makes the case for building your own evals at Forge. Nov 3, SF. Apply to attend: https://bit.ly/3TxgUuB