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Fireworks Blog

Notte x Fireworks Benchmark Report

Agents Don't Fail on Intelligence. They Fail on Execution.

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Scaling and Optimizing Frontier Model Training

Scaling and Optimizing Frontier Model Training

Notes on DeepSeek-V4's training system

Frontier RL Is Cheaper Than You Think

Frontier RL Is Cheaper Than You Think

Training-Inference Parity in MoE Models: Where Numerics Drift

Training-Inference Parity in MoE Models: Where Numerics Drift

Serverless 2.0: Three Ways to Run Inference, One API

Serverless 2.0: Three Ways to Run Inference, One API

Innovative Solutions Rebuilds Enterprise Services Delivery with Fireworks AI

Case Studies5/5/2026

Innovative Solutions Rebuilds Enterprise Services Delivery with Fireworks AI

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DeepSeek V4 Pro: Validating Frontier Models For Production

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Developer Experience4/24/2026

How we fixed prompt injection for all models on Fireworks

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Company News4/6/2026

Own Your AI: Fireworks Training Preview

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The Fine-Tuning Bottleneck Isn't the Algorithm

Microsoft and Fireworks Partnership

Company News3/8/2026

Introducing Fireworks on Microsoft Foundry: Bringing Best-in-Class Open Model inference to Azure

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Company News3/8/2026

Fireworks Acquires Hathora to Accelerate Global Compute Orchestration

The Best 8 LLM API Providers in 2026

Best LLMs for coding in 2026

The DeepSeek Model Lineup: V3.2, R1, and Distilled Variants Mapped to Production Workloads

The Benchmark Gap: What It Takes to Ship Kimi K2.5

The Benchmark Gap: What It Takes to Ship Kimi K2.5