Fireworks
PulseAugur coverage of Fireworks — every cluster mentioning Fireworks across labs, papers, and developer communities, ranked by signal.
- 2026-08-31 product_launch Fireworks announced the general availability of its Training API and Fireworks Lab to make model specialization accessible. source
- 2026-08-17 partnership Fireworks is sponsoring the Glean GO 2026 event. source
- 2026-08-14 partnership Fireworks AI and Microsoft are co-hosting a hands-on workshop in New York City focused on model training and deployment. source
- 2026-08-13 partnership Fireworks announced a partnership with Arcee to simplify AI model deployment. source
- 2026-08-12 product_launch Fireworks AI and LangChain are co-hosting a workshop on August 25th focused on building custom evaluation models for LangSmith. source
- 2026-08-12 product_launch Fireworks AI launched DeepSeek-V4-Pro-0813 and Qwen3.8-2.4T-A95B on its platform. source
- 2026-08-10 product_launch Fireworks AI launched an integration allowing users to run training jobs from coding agents. source
- 2026-08-06 product_launch Fireworks AI is promoting participation in MongoDB's hackathon. source
- 2026-08-04 product_launch Fireworks AI launched the Artificial Analysis Endpoint Accuracy Index to measure model accuracy on inference endpoints. source
- 2026-07-31 partnership Fireworks AI announced its integration with NVIDIA, highlighting the need for open and inspectable infrastructure for open-weight models. source
- 2026-07-31 partnership Fireworks joined the Open Secure AI Alliance, partnering with NVIDIA to promote open and secure AI infrastructure. source
- 2026-07-29 research_milestone Fireworks AI open-sourced inference kernels for its collaboration with MiniMax AI, including optimizations for MiniMax Sparse Attention. source
- 2026-07-29 product_launch Fireworks AI has launched training capabilities for the DeepSeek V4 Flash model. source
- 2026-07-28 product_launch Fireworks is hosting a contest for applications built with their Kimi K3 model. source
- 2026-07-28 product_launch Fireworks AI announced a new offering for Kimi K3, allowing users to fine-tune the model, serve it from US-hosted endpoints, and own the weights. source
22 day(s) with sentiment data
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Fireworks launches educational series on owning specialized AI intelligence
Fireworks, an AI infrastructure company, is launching a new educational series led by their Head of AI Developer Education, Prof_OZ. The series will guide users through the process of transitioning from using closed-sou…
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Fireworks AI Co-Founder: Open Models Will Boost Compute Demand
Fireworks AI co-founder, the_bunny_chen, discussed with Firas Sozan how the proliferation of strong open-source AI models is expected to drive increased demand for compute power. This perspective suggests a shift in the…
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Fireworks AI secures $2M in tokens from Meta, Anthropic, OpenAI
Fireworks AI has secured nearly two million dollars in pledged tokens from major AI labs, including Meta AI, Anthropic, and OpenAI. These tokens will be utilized to enhance the company's inference infrastructure and add…
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Fireworks AI enables custom model training for specialized research workflows
Fireworks AI is enabling companies to train custom large models tailored to specific workflows, moving beyond general-purpose models. Quadrillionlabs is utilizing Fireworks' Training API to develop large custom models o…
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Fireworks AI seeks talent to shape future of AI infrastructure
Fireworks, an AI infrastructure company, is actively recruiting for all positions. The company is seeking individuals to help develop the future of artificial intelligence.
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Fireworks AI promotes cost-effective open-source models for routine tasks
Fireworks AI advocates for cost-effective AI solutions, suggesting that open-source models can achieve similar results to larger proprietary models at a lower cost and with reduced latency. The company highlights that f…
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Fireworks AI launches training API for custom model development
Fireworks AI has introduced a new training API that allows users to train models with their own data and loss functions. This aims to improve the signal-to-noise ratio in model training, preventing engineers from tuning…
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Fireworks AI and LangChain fine-tune Qwen for cost-effective agent trace analysis
Fireworks AI has partnered with LangChain to develop a fine-tuned Qwen model for agent trace analysis. This new model aims to provide a cost-effective solution for processing billions of daily agent traces, offering a p…
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DeepSeek V4 Flash adds native vision capabilities on Fireworks AI
Fireworks AI has announced that DeepSeek V4 Flash now includes native vision capabilities. This update is available on both serverless and priority tiers, offering improved benchmarks compared to the text-only 0731 vers…
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HeidiHealth's AI scribe outperforms Gemini, leveraging Fireworks' infrastructure
HeidiHealth has developed an ambient scribe that drafts clinical notes, which clinicians have found preferable to those generated by Gemini. These notes were produced by fine-tuning open models on Fireworks' infrastruct…
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Fireworks AI spotlights Figma's AI team using its training platform
Fireworks AI is highlighting teams that are pushing the boundaries of AI model training using their platform. The company showcased Figma's AI team, which is leveraging Fireworks' Training API to accelerate feature deve…
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Fireworks launches Training API and Lab for custom model development
Fireworks has launched its Training API and Fireworks Lab, offering specialized infrastructure for training and deploying custom AI models. The Training API provides two compute modes, Serverless and Dedicated, to cater…
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Independent tracker reveals AI API latency and uptime disparities across regions
An independent tracker has been developed to measure the latency and uptime of AI API providers across different regions. The project, which has conducted over 2 million probes from four global regions over 38 days, rev…
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Fireworks launches GLM 5.3 with 50% performance boost
Fireworks has announced the immediate availability of GLM 5.3 on its platform. This new model demonstrates a 50% performance increase over its predecessor, GLM 5.2, particularly on Z.ai's Code Bench. GLM 5.3 also shows …
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Nvidia, Stripe, and others acquire open-weight AI firms for billions · 1 source tracked
The AI sector is witnessing a surge in acquisitions targeting companies that specialize in open-weight models, reflecting a growing trend in the industry. Nvidia is reportedly in talks to acquire Hugging Face for $13 bi…
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Fireworks AI hackathon winner announced
Fireworks AI congratulated LotusDecoder for winning the Kimi K3 Community Hackathon with their submission, MedRecap. The winning entry was evaluated by Prof_OZ, who expressed admiration and curiosity about the inspirati…
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LangChain updates Fireworks integration to v1.6.1
LangChain has released version 1.6.1 of its langchain-fireworks integration. This update includes a fix to drop reasoning history blocks for the Fireworks model and refreshes model profile data.
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Fireworks simplifies AI model specialization for custom applications
Fireworks, an inference infrastructure company, is enabling the specialization of open-source AI models. Their platform simplifies the process of customizing and building proprietary models on top of existing open-sourc…
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Fireworks AI and Harvey collaborate on new legal AI model, Tenet
Fireworks AI has collaborated with Harvey to train a state-of-the-art model for long-horizon legal work, named Tenet. This model was post-trained from a Kimi K3 base using Fireworks' Training API and asynchronous reinfo…
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Fireworks AI launches Tenet model for legal work, boosting performance without cost increase · 5 sources tracked
Fireworks AI has introduced Tenet, a new model developed in close collaboration with Harvey for long-horizon legal work. Tenet, post-trained from a Kimi K3 base model, demonstrates significant performance gains on legal…