Search: “fireworks-ai--x”

Happy to announce that we’ve enlisted @FireworksAI_HQ as our primary provider for open-source models. In AI inference, quality, latency, reliability, and privacy vary a lot. Fireworks has earned our t

If you're tired of re-explaining the same context to your AI every day, go see what @PromptQL just launched! We raised $136M to kill Slack. Introducing PromptQL: The first AI version of Slack. Here’s

Not another demo or benchmark. @ShoucongChen is a senior member of our technical staff. A real project, scoped at 1-month. Delivered in 4 days with GLM5.2 Fast. The best devs deserve >400 t/sec. Take

This is what production RL infra looks like. ICYMI: RL training at scale separates into two distinct problems. - Tight collective comms for the trainer. - Distributed async inference for rollout. Kudo

Fireworks AI is hosting a fireside chat at Raise Summit featuring CEO Lqiao and Matt Evantic from Evantic Capital on the Master Stage at 4:00 PM. The event appears to be a discussion panel or intervie

What actually makes an AI application good or not? Thanks to @StackOverflow for hosting @the_bunny_chen on the Stack Overflow Podcast (even though he is giving away all of our secrets!) Listen here: h

Today, we're helping kick off AMD AI Developer Hackathon: ACT II. We're giving 50 in Fireworks credits to participants in this event which also includes: 20K in prizes. $150 in credits. Fully online.

Don't forget, we'll be in Paris for @RaiseSummit. Will we see you there? Going to be in Paris for @RaiseSummit? Join us and @nvidia to hear from leaders at both companies on the future of AI inference

Prompt engineering is costing you money. Learn how to fine-tune your models. Stuffing a lot of text into every single API call slows down your app because the model has to process all those tokens bef

Fear not, @FireworksAI_HQ is perfectly legal and serves the best models on 🇺🇸 servers for your AI-ndependence For info on firework enforcement, park closures and the like for this Fourth of July weeke

do you know what you pay for in agentic workloads? cached tokens! session with 50+ tool calls -> prompt is billed 50 times all providers give 1/5 cached discount for GLM-5.2 we at @FireworksAI_HQ drop

Fireworks Batch API: 50% cheaper than serverless. We obviously love things fast, but sometimes async at scale is all you need. With the refreshed Batch API, you queue up a job and select whether you n

Frontier open models with enterprise governance means rebuilding workflows from scratch. Move faster with Fireworks on Foundry. GLM 5.2 is live on Microsoft Foundry. With FireConnect enabled, devs can

If you want frontier-level coding and agent performance but you don't want to pay closed-model prices, GLM 5.2 is the open model you've probably been hearing about. Here's why you should run it on Fir

This is exactly why we believe in customization. Quick context: Factory's original secret scanner was deterministic, so it either flagged things that weren't actually secrets (false positives) or miss

Fireworks AI announced achieving 446 tokens per second throughput speeds as measured by Artificial Analysis benchmarks, positioning this as their standard performance metric. The company offers custom

inference reliability has historically been a tax on devs that only large well-funded startups could afford: reserve GPUs in advance, sign a contract, guess your peak throughput requirements. everyone

Fireworks AI announced GLM 5.2 Fast, an optimized version of their GLM 5.2 model that maintains the same quality and capabilities as the standard version while delivering significantly faster inferenc

Going to be in Paris for @RaiseSummit? Join us and @nvidia to hear from leaders at both companies on the future of AI inference and infrastructure. After that: cocktails and a DJ. Oh la la! See you th

Research —> Product :) very excited to start rolling out our fine-tuned Trace Judge model built earlier this month with the great @FireworksAI_HQ team there’s a mountain of Agent Improvement gold sitt

you may have heard that glm-5.2 at 392 token/s is cool, how about 446 except… it’s all noise. Artificial Analysis picks median among 8 points/day so first point of the day can be way off looking at 3

DSpark from @deepseek_ai ingeniously integrates many speculative decoding ideas to achieve 1.5x to 5x higher throughput in a real production system Let's understand it with 10 ideas, starting from the

Model management is the real SDLC scaling bottleneck. @FactoryAI standardized on Fireworks to solve it: → 2–3x open-model growth → 5–15x more work per dollar → day-0 access to every new open-weight mo

Fireworks AI is now live on EvoSkill v1.3.0! You can now use @FireworksAI_HQ directly with EvoSkill to run fast inference on open models as both the evolution harness backend and the LLM scorer. Along

The big lesson from training @cursor_ai Composer 2: models exploit flaws in their training environment before learning what you actually want. Real RL for coding agents means production-faithful envir

We hosted the first RSI RL Environments hackathon with @hud_evals @ycombinator and it was a blast! We watched builders treat RL as a general purpose tool and reach for it across domains we had not ant

Well said @RamaswmySridhar! I believe the cost saving is actually much bigger, more like 4-5x. E.g., we have just reduced our GLM 5.2 cached token price by 2X to return efficiency gain to our users. A

This post compares the cost efficiency of Fireworks' GLM-5.2 model versus Anthropic's Opus across cached sessions, showing GLM-5.2 achieving approximately 4x lower cost per session at 90% cache hit ra

Fireworks AI announced the release of an open source GLM model that offers significant improvements in speed, cost efficiency, and output quality compared to existing alternatives. The post suggests t

In a joint Fireworks and @Faros_AI evaluation of 211 real engineering tasks, Claude Code + GLM-5.2 beat both Claude Code + Opus 4.8 and Codex + GPT-5.5: - Judge score: 0.568 vs. 0.521 and 0.466 - Time

Open + closed models = better together. Our previous research with @harvey showed the benefits of combining a frontier closed model as an advisor agent with fine-tuned, open-source worker agents. Thre

RL fine-tuning is now live for @nvidiaai Nemotron 3 on Fireworks, starting with Nemotron 3 Super (LoRA). Train with GRPO and serve the model in one place. We price by GPU-hour, not per token, so long

The underrated part of this announcement is that Fireworks has been quietly great behind the scenes helping us eval and serve these models Big kudos to the Fireworks team! Kimi K2.7 Code and GLM 5.2 a

GLM 5.2 is the open coding model everyone's been talking about. Now you can fine-tune it on Fireworks. SFT, DPO, and RL all supported. A leaderboard winner can still lose on your codebase. Training cl

It's way easier to switch models than to switch harnesses, and like many of you we use @cursor_ai every day. Now you can try out the latest open-source frontier model without changing your workflow. Y

Dr. Oz discusses the rapid pace of AI development and the challenge of staying informed about advances in the field, noting that even he uses AI tools to help manage and synthesize the growing body of

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 no

Bring open models to where you're already working. FireConnect brings Fireworks' top models directly into Claude Code, Pi, OpenCode, and Codex. Watch our Head of AI Education @Prof_oz show you how: Ho

GLM-5.2 has been the most popular new model on Fireworks this past week. @ArtificialAnlys confirms why: #3 overall on GDPval-AA (1524 Elo), #1 open weights by 116 points. Interest is showing no signs

You don't need to be AI Dependent to build State of the Art software. @FactoryAI and Fireworks use GLM to build the most advanced agentic AI you can train and own today. GLM 5.2 is available in Droid,

A user shares positive early impressions of GLM (likely a language model), praising its solid performance and ease of setup on Fireworks AI's platform. The post highlights Fireworks AI's developer exp

Fireworks AI reports that GLM 5.2, their language model, demonstrates performance comparable to GPT 5.5 across various evaluation benchmarks and real-world use cases. This claim suggests GLM 5.2 is co

Coding agents break when models are 'almost' bug-free. But almost valid JSON is just not the same valid JSON. Fun piece here from @akshay_pachaar shows why SFT can't fix this, and how GRPO trains agai

Fireworks Training Platform keeps expanding. Leading US open weight model Nemotron 3 Ultra is now ready for post-training: SFT and DPO via LoRA or full-parameter, on the same infrastructure that serve

Fireworks was named to @Redpoint's InfraRed 100 which recognizes the companies building the foundation for the next wave of AI. We're just getting started. Come build with us: https://fireworks.ai/car

Many research labs only consider inference efficiency after the fact. Step 3.7 Flash is a 198B sparse MoE VLM designed by @StepFun_ai for inference from the start. 196B language backbone with a 1.8B v