Fireworks
@FireworksAI_HQ
The frontier platform for training and inference on open-weights models at scale.
307 Following 33.7K Followers
We’ve identified a security incident involving unauthorized access to certain Fireworks platform functionality, affecting a limited subset of customers.
Please see our security bulletin
Ever given an agent permissions in production, then wondered what it would do next?
@YonatanOren_, Founding Researcher at @ArmadinSecurity, shares how his team post-trains open models to monitor security agents at Fireworks Forge.
Join us Nov 3 in SF:
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Our VP of AI spoke recently at @AIconference on how to harness frontier models. Check out his keynote below:
In 2024 I made 5-year AI predictions on stage at the AI Conference. This year I went back and graded TAIC 2026 keynote, “Your Own Frontier”:
@AIconference @FireworksAI_HQ
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What if agents remembered things in their weights as well as their context?
@realJessyLin, Co-founder of @EngramLab, speaks at Fireworks Forge on building agents with native memory.
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What are you spinning first at the analog party?
Vinyl records, tacos, fresh coconuts and craft cocktails at Harlan Records. All analog, all night.
@fin_ai, @TrustVanta, @FireworksAI_HQ, @linear, @DustHQ and District came together to put a different kind of spin on #SFTechWeek# 🎶
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We have been having such a fun time at #SFTechWeek#!
Thanks to the @Techweek_ team for being such great partners!
the people building some of SF's most online products, spending a night analog.
Thanks @fin and @FireworksAI_HQ for all the incredible events you hosted this week! #SFTechWeek#
@fin_ai
@TrustVanta
@linear
@FireworksAI_HQ
@DustHQ
@alanmcglinchey
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Ever wonder why so many teams are building on open models now? @natolambert has been writing about it for years.
The co-founder of @trillium_labs and author of Interconnects is speaking at Forge on how open models win.
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Tokenomics, from the chip all the way up.
@dylan522p, Founder & CEO of @SemiAnalysis_, joins the Fireworks Forge speaker list on optimizing every layer of AI infrastructure for inference at scale.
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Just another example of how companies are bringing specialized intelligence to their customers with the help of Fireworks.
Congrats on the launch of Athena Inference Model (AIM) @ZetaGlobal !
We just made some of the biggest announcements in @ZetaGlobal's history.
Introducing AthenaOS, our enterprise intelligence operating system that starts with what you want to achieve, and Athena MCP, bringing Zeta intelligence into the tools businesses already use. Day one integrations with ChatGPT, Claude, Palantir and Gemini.
We also unveiled our new Athena Inference Model (AIM) being developed with @FireworksAI_HQ using @nvidia Nemotron, and announced early work with partners on a specialized chip through a capital-light approach.e
What a massive kickoff to #ZetaLive26#! $zeta
LG 🚀🚀🚀
Read more here:
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Lights. Cameras. Evals. 🎬 @swyx takes the Forge stage to break down domain-specific everything: data, models, evals, chips. Join us!
Every serious AI team eventually builds their own data, evals, models, and maybe even chips.
@swyx of @latentspacepod and @aidotengineer on why the future is domain-specific everything.
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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.
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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.
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@Forbes @arena @ml_angelopoulos @FactoryAI @matanSF @genspark_ai With soaring AI costs, one company that stands to gain is @FireworksAI_HQ. The company booked an estimated $250 million in 2025. Its valuation has grown 4x to $17.5 billion in the past nine months, making the 50-year-old CEO @lqiao a new billionaire.
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A new breed of startups is emerging to help businesses use AI smarter and cheaper, shifting towards open Chinese models and giving the likes of OpenAI and Anthropic a run for their billions.
Read more:
📸: Cody Pickens for Forbes and Getty Images
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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.
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ABSOLUTE SCENES 🔥@FireworksAI_HQ x @A16Z kick off #SFTechWeek# with @vercel, @ElevenLabs, and @stripe. admin was flying
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:
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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.
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For our final training run and deployment we used @FireworksAI_HQ's with Kimi K3 - it was quite convenient
