I'm speaking at Navigate in SF today! @browserbase's conference on what it takes to run AI agents in production. My panel is on the State of Agent Infra. Come find me if you're building in this space. https://t.co/2KzuXjWlWi
We invite you to Forge.
At Forge, we will challenge you to make your own frontier.
You'll spend the day with the builders, researchers, and technical leaders pushing AI forward.
Lin Qiao. Jensen Huang. Jay Parikh. And more.
Apply to attend: https://t.co/9TTDskVI73
The most ambitious companies are training models to outperform the frontier on the capabilities that differentiate their business.
Today, we announce the general availability of our Training API and Fireworks Lab, making model specialization accessible to all organizations.
Do you know you can use open weight models like GLM, Deepseek, Kimi in Claude Code?
Setup Fireworks account - you get free credits on signup
$ curl -fsSL https://t.co/t5W9mwLvZw | bash
$ fireconnect login
$ fireconnect claude
That's it!
Best part? you can use /model to switch b/n Anthropic and Open models.
Open models just crossed the intelligence-cost curve.
Most of your team's bill is from routine work at frontier prices.
We make it easy to own your AI spend, without changing the way your engineers work.
Introducing Fireworks Nexus: https://t.co/02UFhZL6mX
Happy to have @FireworksAI_HQ as our day0 launch partner and bring Kimi K3 to more developers.
With Fireworks, you can now deploy and fine-tune the 2.8T Kimi K3 model with just a few clicks!
Make Kimi K3 yours with LoRA training on Fireworks Training a model this massive used to be a big project.
With Fireworks Training, you can take the best open model in the world and efficiently tune it to your unique workloads, without paying frontier prices or touching a GPU cluster.
https://t.co/42ZbTu1K3Z
The hard part of reinforcement learning on a frontier model is the infrastructure that keeps training and inference numerically identical: zero KLD, end to end.
We've solved this challenge, and are now offering it as a managed service, starting with GLM 5.2.
@gregwedow@FireworksAI_HQ • Use asciinema for clean terminal capture
• Use VHS for polished MP4/GIF output
• Bigger font + fewer panes = better legibility
• Export 1080p H.264 MP4
Make sure you're using the free fire pass inside your account.
@BlancheMinerva@AiEleuther@AIatMeta@MistralAI@MosaicML That’s not the only trade off out there, but a lot of the trade offs I saw when helping these companies seem to be getting solved with clever software solutions in distributed training. Perhaps as this gets more commoditized the trades will be clear, it’s all memory bound tho.