Lin Qiao (@lqiao) / X

Lin Qiao

535 posts

Lin Qiao

@lqiao

Cofounder and CEO of @FireworksAI_HQ

Redwood City, CA

Joined June 2009

Lin Qiao
@lqiao
Jul 11, 2024
Fireworks AI has raised $52M in Series B funding led by @sequoia ! This round propels our mission to enhance our inference platform and lead the shift to compound AI systems. Huge thanks to our investors @nvidia , @AMD , @MongoDB , @benchmark , Sheryl Sandberg , Frank
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Lin Qiao
@lqiao
Nov 18, 2024
🔥 Introducing Fireworks f1 🔥 f1 is the first reasoning system over open models to beat GPT-4o and Claude 3.5 Sonnet across hard coding, chat and math benchmarks. 💥 two variants now available in preview: f1 and f1-mini 💥 access the preview on Fireworks AI Playground for
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Lin Qiao
@lqiao
Feb 22, 2024
🔥 Structure is all you need. 🔥 We’re excited to announce: - FireFunction V1 - our new, open-weights function calling model: - GPT-4-level structured output and decision-routing at 4x lower latency - open-weights, commercially usable - Blog post:
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Lin Qiao
@lqiao
Oct 28, 2025
I'm very excited to share that @FireworksAI_HQ has raised $250M in Series C funding co-led by @lightspeedvp and @IndexVentures , and participation from @sequoia Capital and @EvanticCapital, bringing up valuation to $4 billion. In total, we raised $327M from prior rounds led by
fireworks.ai
Fireworks AI | Careers
Use state-of-the-art, open-source LLMs and image models at blazing fast speed, or fine-tune and deploy your own at no additional cost with Fireworks AI!
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Lin Qiao
@lqiao
Jan 10, 2024
🔥 Excited to announce FireAttention: a breakthrough in the speed vs quality tradeoffs of LLMs We wrote a custom CUDA kernel optimized for MQA, and FP8/FP16 support on H100. This also lets us run Mixtral at FP8 with negligible impact to quality benchmarks (as opposed to GPTQ,
Fireworks AI
@FireworksAI_HQ
Jan 9, 2024
What's the most performant way to serve Mixtral and other open-source MoE models? Fireworks investigated this topic and came up with our proprietary serving stack with 4x the speed compared to vLLM and negligible quality impact! Read about our findings here
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Lin Qiao
@lqiao
Sep 15, 2025
Fireworks passed ASIC speed! First time, GPU based inference crossed an ASIC provider. Benchmark credit to AA Model: GPT-OSS-120B Speed: 540 TPS Legend: Purple - Fireworks on B200; Orange - Groq
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Lin Qiao
@lqiao
Jan 19, 2024
🔥🔥Announcing FireLLaVA -- the first multi-modal LLaVA model, trained by @FireworksAI_HQ , with a commercially permissive license. It’s also our first open source model! While the industry heavily uses text-based foundation models to generate responses, in real-world
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Lin Qiao
@lqiao
Jun 18, 2024
🔥 Firefunction-v2, new open-weights function-calling model🔥 I'm super excited to announce Firefunction-v2, our latest open-weights! - Competitive with GPT-4o at function-calling - 1/10 of GPT-4o cost and 2x the speed - Retains both conversation and function-calling
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Lin Qiao
@lqiao
Nov 13, 2025
🚀 Fireworks Reinforcement Fine-Tuning (RFT) launched! After many months of iteration with real world use cases, we are excited to launch Fireworks RFT public preview. It’s a managed RL service that turns open frontier models (e.g. DeepSeek V3, Kimi K2) into custom agents for
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Lin Qiao
@lqiao
Oct 15, 2024
🔥 FireAttention v3 -- enabling viable alternatives in the GPU inference serving market 🔥 Engineers at @FireworksAI_HQ have successfully ported FireAttention to AMD MI300s, resulting in 80% more throughput and 60% faster latency than NIM on Nvidia H100s. With these
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Lin Qiao
@lqiao
Jun 27, 2024
🔥 FireAttention v2: speed and long context, pick two! 🔥 At @FireworksAI_HQ , we challenge ourselves constantly -- can we develop a dramatically more efficient serving for LLMs with RAG in a long context window with negligible quality tradeoff? We built our next generation
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Lin Qiao
@lqiao
Mar 14, 2024
🔥 We’re excited to announce @FireworksAI_HQ fine-tuning service! Fine-tune and run models like Mixtral at 300 tokens/sec with no extra inference cost! 🔁 Tune and iterate rapidly - Go from dataset to querying a fine-tuned model in minutes covering 100+ models. 🤝 Seamless
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Lin Qiao
@lqiao
Mar 12, 2024
🔥Fireworks beats Groq! 🔥 Benchmark credits from @ArtificialAnlys
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Lin Qiao
@lqiao
Nov 13, 2025
Congrats @mntruell @amanrsanger @sualehasif996! There are so many sleepless nights stretching and scaling Cursor’s explosive workload together. Onwards!
Cursor
@cursor_ai
Nov 13, 2025
We've raised $2.3B in Series D funding from Accel, Andreessen Horowitz, Coatue, Thrive, Nvidia, and Google. We're also happy to share that Cursor has grown to over $1B in annualized revenue and now produces more code than any other agent in the world. This funding will allow
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