Fireworks AI
PulseAugur coverage of Fireworks AI — every cluster mentioning Fireworks AI across labs, papers, and developer communities, ranked by signal.
- 2026-11-10 controversy Fireworks AI experienced a cloud security breach through a supplier compromise, exposing billing data and partial customer model weights and datasets. source
- 2026-11-10 controversy Fireworks AI experienced a security breach that impacted its client, Notion. source
- 2026-11-09 controversy Fireworks AI experienced a security breach that exposed customer data and AI models. source
- 2026-11-09 controversy Fireworks AI admitted to a significant security breach where hackers accessed customer data and AI model weights, reversing an earlier denial. source
- 2026-11-04 product_launch Fireworks AI unveiled new products including Nexus, an AI router, and ultra-fast inference capabilities. source
- 2026-10-24 product_launch Fireworks AI has launched its new inference infrastructure, EAGLE-4. source
- 2026-10-07 funding Fireworks AI's valuation increased to $17.5 billion, with an estimated $250 million booked for 2025. source
- 2026-09-13 partnership Fireworks AI partnered with Alibaba Cloud to integrate the Qwen 3.8 Max model. source
- 2026-09-04 funding Fireworks AI secured nearly two million dollars in pledged tokens from leading AI labs. source
- 2026-08-31 product_launch Fireworks AI announced the general availability of its Training API and Fireworks Lab. source
- 2026-08-24 hiring Fireworks AI is expanding its operations to London and Europe, actively hiring for multiple roles. source
- 2026-08-13 partnership Fireworks AI partnered with Microsoft to release a guide for startups on deploying AI models. source
- 2026-08-05 partnership Fireworks AI partnered with Microsoft to offer startups enhanced inference infrastructure on Azure. source
- 2026-08-05 partnership Fireworks AI and Voyage AI partnered to integrate Voyage AI's embedding and reranking models onto the Fireworks platform. source
- 2026-08-04 product_launch Fireworks AI is co-hosting a webinar with Arize AI to discuss AI model costs. source
15 day(s) with sentiment data
Fireworks AI's inference infra proves effective in identifying vulnerabilities in open-weight models
Fireworks AI's inference infrastructure has demonstrated its capability to find 7 high-severity vulnerabilities in Ramp Labs' backend using open-weight models. This suggests their infrastructure is robust and effective for security testing, potentially offering a cost-effective alternative to traditional methods.
Fireworks AI's Serverless 2.0 caters to diverse inference needs with tiered service levels
The launch of Serverless 2.0 with Standard, Priority, and Fast tiers indicates Fireworks AI is addressing a spectrum of inference demands, from general use to high-throughput agent applications. This tiered approach likely enhances user control over performance and cost, making their platform more versatile.
Fireworks AI to announce strategic partnership with NVIDIA following CEO's endorsement
NVIDIA CEO Jensen Huang referred to Fireworks AI as the 'TSMC of AI factories.' This strong endorsement, especially coming from a key player like NVIDIA, suggests a potential for a deeper strategic partnership, possibly involving deeper integration or co-development of future AI hardware/software solutions.
Fireworks AI's Serverless 2.0 tiers cater to diverse agentic workloads
The launch of Fireworks AI's Serverless 2.0 with Standard, Priority, and Fast tiers suggests a strategic focus on supporting the varied demands of agentic applications. The 'Fast' tier, in particular, seems designed for the high-throughput, low-latency requirements often seen in real-time agentic systems, while 'Priority' may handle complex, multi-turn interactions.
Fireworks AI to release a solution for LLM numerical drift
Given Fireworks AI's recent identification of numerical drift issues in LLM training vs. serving, it's plausible they will release a product or feature to address this. This could involve new libraries, model architectures, or serving optimizations designed to ensure numerical parity and maintain model integrity, especially for RLHF applications.
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Fireworks AI hit by second cloud breach via supplier compromise
Fireworks AI has experienced a second cloud security breach, this time affecting a supplier. The incident resulted in the exposure of billing information and partial customer model weights and datasets.
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Fireworks AI data breach, Azure security fixes, and PyTorch updates detailed
The Register's AI section covers several distinct topics, including a data exposure incident at Fireworks AI, security updates for Microsoft Azure Linux, and improvements to PyTorch for large-scale AI training. Addition…
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Notion AI transcripts exposed via Fireworks AI breach
Notion has informed its customers that AI chat transcripts were exposed in a data breach affecting Fireworks AI, a third-party vendor. The incident impacted a small percentage of Notion workspaces, and the specific caus…
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Fireworks AI data breach, Azure Linux fixes, PyTorch resilience, Meta acquires Conductor · 1 source tracked
Fireworks AI experienced a significant data exposure incident, with the company attributing the breach to a cloud provider and malicious actors exploiting LLMs. Separately, Microsoft addressed a large number of security…
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Fireworks AI security breach impacts Notion and its customers
Fireworks AI, a third-party vendor, has experienced a security breach that has affected its client, Notion. The breach has potentially exposed data belonging to Notion and its users. Notion has stated that they are inve…
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Fireworks AI admits major breach: customer data and model weights stolen · 4 sources tracked
Fireworks AI, a prominent AI inference platform serving thousands of customers including Uber and Shopify, has admitted to a significant security breach. Initially downplaying the incident, Fireworks later confirmed tha…
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Fireworks AI: Use all models or waste AI money · 1 source tracked
Fireworks AI is urging organizations to adopt a multi-model strategy to avoid wasting resources on AI. The company suggests that relying on a single model is inefficient and that integrating various models can optimize …
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New tool Upstream monitors AI API status for agents
A new tool called Upstream has been developed to help AI agents monitor the status of various AI and developer APIs. It checks status and deprecation pages for over 40 providers, including major players like OpenAI, Ant…
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AI Development Platforms Hit by Surge in API Key Thefts
A recent report by Wiz identified a surge in security incidents targeting AI development platforms, with at least nine platforms experiencing breaches in October alone. The primary targets were API keys and service prov…
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Fireworks AI launches Nexus router; Apple opens Siri AI to developers
Fireworks AI has launched new tools including Nexus, an AI router that selects the best model for a given task and learns user preferences, achieving high scores on benchmarks and offering a lower-cost alternative to mo…
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AI inference startup Fal raises $1.3B at $16B valuation, doubling previous worth · 6 sources tracked
AI inference startup Fal has secured $1.3 billion in a Series E & F funding round, doubling its valuation to $16 billion. The round was led by Bessemer Venture Partners, with participation from Nvidia, Sound Ventures, a…
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Glean and Fireworks AI partner for expanded enterprise model choice
Glean and Fireworks AI have partnered to enhance enterprise AI capabilities by integrating Fireworks' model-serving infrastructure with Glean's enterprise context platform. This collaboration allows organizations to dep…
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Nvidia Brev cloud platform hit by security breach, exposing customer SSH keys
Nvidia has experienced a security breach on its Brev cloud development platform, potentially exposing SSH keys used by customers to access virtual machines. The unauthorized activity occurred over a 16-day period, and w…
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Replit launches Cloud Agents for code generation and enhances security
Replit has introduced Cloud Agents, a feature that translates natural language into tested pull requests, allowing users to integrate their ideas directly into company codebases. This new capability is available to Pro …
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Together AI fine-tuning alternatives: Nodus, Fireworks AI, Modal, RunPod
For teams looking to fine-tune large language models, alternatives to Together AI's token-based pricing include Nodus, Fireworks AI, Modal, and RunPod. Nodus offers per-GPU-hour billing with managed recipes for various …
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Replit launches ViBench 2.0 for AI long-horizon software building · 2 sources tracked
Replit has launched ViBench 2.0, a new benchmark designed to evaluate AI agents on long-horizon software development tasks. The benchmark simulates building real-world products like Uber or GitHub, with agents tasked to…
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AI Inference API Latency Varies Widely by Region and Provider
A 30-day analysis of AI inference API performance from September 27 to October 26, 2026, revealed significant regional variations in latency. Fireworks AI offered the closest API front door in US Central and Tokyo, whil…
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Fireworks AI promotes cost-effective model specialization and showcases model capabilities
Fireworks AI is highlighting the cost-effectiveness of using specialized models for specific tasks, rather than relying solely on expensive frontier models. Tenzai Labs utilized Fireworks' serverless training API to dev…
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Fireworks AI launches EAGLE-4 inference infrastructure for faster creative workflows
Fireworks AI has launched EAGLE-4, an inference infrastructure designed to accelerate creative workflows. This new version builds upon previous iterations, focusing on speed improvements. EAGLE-4 has demonstrated a perf…
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Meta releases 816B parameter Muse Spark Open model with custom license
Meta has released Muse Spark Open, an 816-billion-parameter mixture-of-experts model, with approximately 42 billion parameters active per token for efficiency. This model, designed for coding and agentic tasks with a 1M…