Fireworks AI
PulseAugur coverage of Fireworks AI — every cluster mentioning Fireworks AI across labs, papers, and developer communities, ranked by signal.
- 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
- 2026-07-31 product_launch Fireworks AI launched a contest to encourage the development of applications using its Kimi K3 model. source
- 2026-07-21 funding Fireworks AI announced an annualized revenue run rate of $1 billion. source
- 2026-07-20 product_launch Fireworks AI is launching its first Developer Relations office hours event. source
- 2026-07-17 funding Fireworks AI announced a $1.5 billion Series D funding round, reaching a $17.5 billion valuation. source
- 2026-07-16 product_launch Fireworks AI celebrated a milestone and indicated a focus on specialized intelligence. source
- 2026-07-16 funding Fireworks AI raised $1.5 billion in a Series D funding round at a $17.5 billion valuation. source
- 2026-07-16 funding Fireworks AI CEO lqiao will discuss the company's $1.5B Series D funding round and $1B ARR milestone. source
- 2026-07-16 funding Fireworks AI announced it has achieved $1 billion in Annual Recurring Revenue (ARR) and a $1.5B Series D funding round. source
- 2026-07-16 funding Fireworks AI secured $1.5 billion in Series D funding led by X. source
- 2026-07-16 funding Fireworks AI achieved $1 billion in Annual Recurring Revenue (ARR) within 16 months, with Bessemer Venture Partners noted as an early supporter. source
- 2026-07-16 funding Fireworks AI announced a $1.5 billion Series D funding round at a $17.5 billion valuation, alongside achieving $1 billion in annual recurring revenue. source
- 2026-07-15 funding Fireworks AI secured $1.505 billion in Series D funding at a $17.5 billion valuation. source
20 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 highlights ecosystem collaboration for legal AI model training
Fireworks AI is highlighting its role in the AI ecosystem by reposting a message from Harvey. The message details how various entities, including Fireworks AI, are collaborating to post-train models for legal work. This…
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Fireworks AI to Discuss Real Costs of GPT-5.5, Kimi K3 Models
Fireworks AI is hosting a webinar on August 6th, featuring a discussion on the real costs associated with AI models like GPT-5.5 and Kimi K3. The session will compare model performance based on the cost of successfully …
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Fireworks AI expands event series and adds DeepSeek V4 Flash 0731 fine-tuning
Fireworks AI is expanding its offerings by announcing a new edition of "The AI Dev Stack" event in San Francisco, following its initial event in New York City. This event, scheduled for August 18th, will feature discuss…
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Fireworks AI partners with Microsoft for Azure inference infrastructure
Fireworks AI is partnering with Microsoft to offer startups enhanced inference infrastructure on Azure. This collaboration aims to provide solutions for managing model costs, latency, and flexibility, particularly for M…
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Fireworks AI integrates Voyage AI models for unified retrieval and generation
Fireworks AI has announced a partnership with Voyage AI, integrating Voyage AI's embedding and reranking models directly onto the Fireworks platform. This collaboration aims to simplify the AI performance stack by allow…
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Fireworks AI's Kimi K3 model shows improved cybersecurity defense capabilities
Fireworks AI has announced improvements to its Kimi K3 model, which specializes in cybersecurity defense. The company claims Kimi K3 now achieves double the vulnerability detection and triple the patching capabilities o…
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Fireworks AI and Arize AI to discuss AI model costs
Fireworks AI is hosting a webinar with Arize AI on August 6th to discuss the real costs associated with various AI models, including GPT-5.5 and Kimi K3. The session will compare model performance based on the cost of s…
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MiniMax M3.1 Preview Lacks Details, Prompting Caution for Migration
A recent community post announced the upcoming MiniMax M3.1 model, highlighting potential improvements in multimodality, reasoning, coding, and agent capabilities, as well as reduced hallucinations. However, the post la…
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Fireworks AI launches Kimi K3 contest for daily life apps
Fireworks AI is hosting a contest encouraging users to build applications that improve daily life using their Kimi K3 model. Participants have one week to submit a demo video, tag Fireworks AI, and use the hashtag #Kimi…
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Fireworks AI benchmarks Kimi K3 against Anthropic's Fable, revealing specialization
Fireworks AI has released benchmark results comparing their Kimi K3 model against Anthropic's Fable model on approximately 1,000 agentic tasks. The results indicate specialization rather than a direct catch-up, with Kim…
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Fireworks AI offers low-cost fine-tuning for embedding models
Fireworks AI is offering a service to fine-tune custom embedding models for a low cost, comparable to the price of a coffee. This process aims to improve Retrieval-Augmented Generation (RAG) pipelines by enhancing docum…
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Dwarakanath joins AI inference firm Fireworks AI
Dwarakanath has joined Fireworks AI, a company specializing in inference infrastructure. Previously, he contributed to foundational compute and AI technologies at major tech companies including Meta, Apple, Uber, and Go…
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Fireworks AI powers cybersecurity model, discusses AI industry trends on CNBC
Fireworks AI, an inference infrastructure company, is highlighting recent developments in the AI space. The company is involved in the post-training of a top cybersecurity model, dfs-large1, developed by depthfirstlabs.…
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Fireworks AI unveils K3, a 3-trillion-parameter open frontier model
Fireworks AI has announced K3, a new open frontier model with 3 trillion parameters. This model is positioned as the first of its kind in its parameter class. Fireworks AI is hosting an event on Tuesday, August 4th, at …
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Fireworks AI: LoRA vs. FullFT tuning factors explored
Fireworks AI conducted experiments comparing LoRA and Full Parameter Fine-Tuning (FullFT) on the Qwen3.5-9B model. Their findings suggest that when FullFT outperforms LoRA, the difference may not solely be due to the ad…
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MiniMax AI and Fireworks AI Open-Source Inference Kernels
MiniMax AI and Fireworks AI have jointly released open-source kernel work aimed at accelerating inference speeds. This collaboration focuses on making the underlying computational components accessible, emphasizing that…
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Fireworks AI open-sources kernels for MiniMax Sparse Attention
Fireworks AI has open-sourced the kernel repositories behind its recent collaboration with MiniMax AI. This initiative aims to make more than just model weights publicly available, contributing to the open-source commun…
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Fireworks AI advocates for open-weight models, citing broad access to intelligence
Fireworks AI President George Hu explained the company's support for open-weight models, emphasizing that intelligence should not be concentrated within a few frontier labs. Hu believes that open models and ecosystems a…
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Fireworks AI shows cheap fine-tuning boosts embedding model retrieval quality
Fireworks AI has detailed a cost-effective method for fine-tuning general-purpose embedding LLMs into domain-specific models. Their approach, demonstrated with Qwen3-Embedding-8B, significantly boosts retrieval quality …
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Fireworks AI launches Nexus to route coding tasks to cheaper models
Fireworks AI has launched Fireworks Nexus, a platform designed to help engineering teams manage their AI coding tools and control costs. The system routes routine coding tasks to more affordable open-weight models while…