Fireworks AI
PulseAugur coverage of Fireworks AI — every cluster mentioning Fireworks AI across labs, papers, and developer communities, ranked by signal.
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Fireworks AI introduces new features to prevent prompt injection attacks
Fireworks AI has introduced a new feature called safe_tokenization designed to prevent prompt injection attacks. This security measure aims to protect users' systems by ensuring that malicious inputs cannot compromise t…
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Fireworks AI offers GLM 5.1 with 200K context for agentic coding
Fireworks AI is now offering GLM 5.1 through its training platform. This model supports both managed and training API workflows, allowing users to fine-tune with custom loss functions or smart defaults. GLM 5.1 features…
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Fireworks AI hosts panel on enabling and using agents at work
Fireworks AI is hosting a panel discussion on May 7th about the use of Agents at Work. The event will feature a moderator and several panelists discussing how startups are enabling and utilizing this technology.
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Fireworks AI adds Google's Gemma 4 models to its training platform
Fireworks AI has announced the integration of Google DeepMind's Gemma 4 models, specifically the 26B and 31B parameter versions, into its training platform. This integration allows users to leverage the Fireworks Manage…
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Fireworks AI launches DeepSeek V4-Pro for inference infrastructure
DeepSeek V4-Pro, a new large language model, has been made available on the Fireworks AI inference platform. This release allows users to access and utilize the capabilities of the DeepSeek V4-Pro model through Firework…
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Fireworks AI ensures production workloads run smoothly with inference infrastructure
Fireworks AI has announced a significant upgrade to its inference infrastructure, emphasizing reliability and performance for production workloads. The company highlighted that these improvements, while potentially time…
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Fireworks AI focuses on delivering frontier-quality inference infrastructure to users.
Fireworks AI is committed to providing high-quality inference infrastructure for users and the broader AI community. The company emphasizes its dedication to delivering frontier-level quality in its services. This focus…
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Fireworks AI adds Kimi K2.6 model to its training platform
Fireworks AI has announced the integration of Kimi K2.6, a model from Kimi Moonshot, onto its Training Platform. This integration allows users to leverage the Kimi K2.6 model through Fireworks AI's Managed and Training …
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Fireworks AI launches DeepSeek V4, offering advanced inference infrastructure
Fireworks AI has announced the release of DeepSeek V4, a new large language model. The announcement was made on X, with a celebratory tone, comparing the release to a holiday event. The company is working to bring the m…
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Fireworks AI claims to be largest inference provider outside major labs
Fireworks AI has announced it is the largest inference provider outside of the major AI labs' proprietary APIs, processing 30 trillion tokens daily. The company is actively hiring to expand its infrastructure capabiliti…
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Fireworks AI hires George Hu as President to lead growth
Fireworks AI has appointed George Hu as its new President. Hu brings extensive experience to the inference infrastructure company, having previously held leadership roles at companies like Salesforce. His arrival is exp…
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Fireworks AI highlights Kimi K2.6 as a top agentic model
Fireworks AI has released Kimi K2.6, a new open-weight model that is being recognized as a top-tier agentic model. This release signals a significant advancement in the field of open-weight AI, potentially accelerating …
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Fireworks AI launches inference infrastructure alongside Notion
Fireworks AI has announced a day-0 inference infrastructure release, collaborating closely with Notion. This partnership highlights rapid development cycles and aims to support immediate deployment and user reaction to …