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Fireworks AI
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High-performance inference for open-source models
ActionFlows connects to Fireworks — the inference platform built around optimized serving for open-source language models with the throughput and pricing that production workloads require. Connect once with your Fireworks API key, then drop Llama, Mistral, DeepSeek, Qwen, and fine-tuned variants into any flow as native steps.
Authentication, response streaming, structured output, and function calling — all handled at the integration layer. For teams running open-source models in production where speed and unit economics decide product viability, this is the inference platform built for both.
Speculative decoding and custom kernels under the hood
Fireworks serves open-source models with speculative decoding, FP8 quantization, custom CUDA kernels, and continuous batching — meaningfully faster than vanilla HuggingFace inference. Llama 4 at multi-hundred-tokens-per-second throughput, with consistent low-latency p95 performance.
For builders shipping reasoning workflows where total latency compounds across calls, this is the inference layer where the optimizations are baked into the platform rather than something you build yourself.
Fine-tuning as a first-class capability
- LoRA fine-tuning on your data with managed training infrastructure
- Multi-LoRA serving — host hundreds of customer fine-tunes on shared GPU capacity
- Full fine-tuning for production workloads requiring deeper customization
- Direct preference optimization (DPO) for alignment without RLHF complexity
- Serverless serving of fine-tuned models with the same API as base models
Open-source breadth with day-one model availability
Fireworks ships new open-source model support quickly — Llama 4 variants, Qwen 3 series, DeepSeek family, Mistral and Mixtral, specialty models from research labs — typically within days of release rather than weeks. Plus image generation (FLUX, SDXL) and embeddings under the same API.
For teams whose products depend on access to the newest open-weight variant the week it ships, this is the inference platform that doesn't lag.
Why Fireworks
For teams running open-source models in production, the structural choice is between self-hosting (high engineering tax) and managed inference (variable quality). Fireworks lands at the spot where the optimizations are real, the pricing is competitive, and fine-tuning is a first-class capability rather than an afterthought.
Fast inference plus broad open-source catalog plus fine-tuning support makes this the right platform for teams treating open models as a serious production strategy.
Open-source. Optimized. Fine-tunable.
Llama 4 Family
Meta's flagship open-weight reasoning with speculative decoding and custom kernel optimization. Production-grade throughput.
DeepSeek & Qwen
Reasoning-specialized and multilingual open models with day-one availability. Strong on math, code, and chain-of-thought.
Fine-tuning Stack
LoRA, multi-LoRA, full fine-tuning, and DPO on managed infrastructure. Serverless serving of fine-tunes with base-model API.
Image & Embeddings
FLUX and SDXL image generation. Embedding models for vector search and RAG. Multimodal catalog under unified API.
Frequently asked questions
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