A model that's decent at everything rarely wins at the one thing your product depends on.
@pranavj09, Product Lead at Fireworks, speaks on building models that win in your domain at Fireworks Forge.
Watch the keynote live Nov 3: https://t.co/I42QSr2wmW
Two of the most amazing leaders I’ve had the opportunity to work with in my career, @lqiao and @JensenHuang, are coming together for the opening keynote at our first conference, Forge!
I’ve been lucky to learn from both personally and see how they make decisions. Both companies share similar DNA: solve the hardest problems, take long-term bets, and never shy away from getting into the details!
Come hear from them at Forge!
Fireworks Forge is officially sold out!
Thank you to everyone who applied. We can't wait to see you in San Francisco, and we don't want to leave anyone out, so we're streaming the keynote live.
Tune in on Tuesday, November 3 at AM PT to hear our CEO @lqiao and @nvidia CEO @JensenHuang on building your own frontier, plus what's new from Fireworks
Mark your calendar and join us Tue, Nov 3 · AM PT
Register for the livestream here: https://t.co/PWecxQx45z
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://t.co/vE0jM7Lyou
I recently left venture to do product at a new AI lab. Early days means no playbook, so I went back to Ben Horowitz's 1997 memo, Good Product Manager / Bad Product Manager, to see what still holds.
TLDR: Most of it does. The bottlenecks moved. The job didn't. The failure mode just got faster: solving for the wrong constraint. The competitor’s last launch. The “how” you’re proud of.
Article below.
Can’t wait to see what developers around the world create with this. We all win when open source wins. 🔥
Thank you @dhh for letting @FireworksAI_HQ be part of it. Happy to support!
We have secured nearly TWO MILLION DOLLARS IN TOKENS from leading labs. Lead by @AIatMeta as Founding Token Patron and joined by @AnthropicAI, @OpenAI, and @FireworksAI_HQ this is an incredible haul of pledged tokens. We will use them to FIX EVERYTHING 🤠 https://t.co/8nT9oJJCxJ
At @FireworksAI_HQ, we’ve always believed the best marketing is a product that delivers.
When companies like @github and @Microsoft trust us to serve their users worldwide, that trust says more than any campaign could. 😉
📣 @Kimi_Moonshot's Kimi K3, an open-weight model, is now generally available and rolling out in GitHub Copilot.
The model shows frontier-level abilities on agentic coding with highly cost-effective pricing. It is hosted by @FireworksAI_HQ. Learn more. 👇
https://t.co/lI3GgiZJ5M
In a world where building AI applications is getting easier every day, the biggest moat won’t be the application itself. It will be a deep understanding of your users.
The winners will be the companies that translate those insights into specialized AI models tailored to their own use cases. No two users are the same, so why should the intelligence serving them be?
Thanks to open-source models and advances in post-training, building specialized models is becoming dramatically easier and more cost-effective than ever.
My DMs are open if you’d like to discuss the trends we’re seeing across the industry.
We are going to see a lot of vertically focused AI native companies accelerate.
Routers, open-source models and specialized post-training enabled by companies like @FireworksAI_HQ have all made dramatic advances and the combination of the three is driving accelerating growth.
Companies like @wearelegora can now use their data to post-train an open-source model and then combine it with frontier models behind a router to get the same or better outcomes at lower costs than the frontier alone.
This dramatically improves the business model for all these companies. @cognition seeing similar trends.
It's so much fun working with a team that's genuinely passionate about what they're building.
The @FireworksAI_HQ team has been cooking on Kimi K3, and we're incredibly excited to bring it to everyone!
Technology moves fastest when it's open. Open source isn't just a distribution model. It's how innovation compounds.
Try Kimi K3 on Fireworks 👇
https://t.co/TlgzDcDReH
A very honest take on Kimi K3 vs Fable.
Across ~1,000 agentic tasks, routing between the two hit 93% accuracy — above either model alone — at up to 50x lower cost than Fable by itself.
The router sent 72–96% of tasks to K3. Open source is becoming the default; closed models are the backup for the frontier long tail.
The future isn't picking a model. It's combining them to get the best quality AND margins.
https://t.co/VeRrgUpjuw
Thanks to all our incredible customers and partners for being part of this journey.
We’re entering an era of specialized intelligence, where every company will build models tailored to its users that continuously improve over time. It’s time to own your intelligence and control your destiny.
If you’re building the future of AI, we’d love to build with you.
The future of AI is specialized. We’re just getting started.
Every company must own its intelligence.
We've raised $1.5B Series D at a $17.5B valuation.
We’ve surpassed $1B ARR and serve over 40 trillion tokens daily, with 95%+ coming from models specialized on customer data.
We’re just getting started.
More: https://t.co/97J3vTRB0A
@DennisonBertram@Zai_org@baseten@FireworksAI_HQ We’ve been laser-focused on getting long-context performance and quality right for GLM-5.2, and the team has made huge strides recently. 🚀
Fireworks is #1 on Artificial Analysis for GLM-5.2.
Give us another shot, and let us know what you think.