AI Potluck
Model components / Inference code

Fireworks Inference

Fireworks AI

High-performance inference platform built on a proprietary FireAttention engine optimized for multi-tenant model serving on commodity GPUs. Specializes in efficiently serving many models and LoRA adapters simultaneously with minimal overhead. Supports open models (Llama, Mixtral, Qwen) and function calling. Founded by ex-Meta PyTorch team members. Competitive pricing and low latency have made it a popular choice for startups building on open models.

Fireworks AI cloud inference (proprietary FireAttention kernels) on NVIDIA GPUs; OpenAI-compatible API, serves many open models (DeepSeek V3.2/V4-Pro, Qwen 3.6, GLM-5.1, Kimi K2.6, Gemma 4, Llama, etc.). Closed/managed service. Confirmed live June 2026 (fireworks.ai).

Openness

1 high confidence
1.0
engine
proprietary(FireAttention kernels)
source
closed
access
managed-cloud-API-only
license
Proprietary

Proprietary FireAttention inference engine offered only as a managed cloud service; closed per recipe.

  • https://fireworks.ai/ recorded 2026-06-04

    managed cloud inference platform serving open models; engine not released publicly

Adoption

4 medium confidence
4.0

Strong named-customer roster including Cursor, Vercel, Notion, Sourcegraph, UiPath, Quora, Cresta, StackBlitz; serves top open models for many high-traffic AI products. No raw user count disclosed; reported_traction. Breadth of high-volume production customers supports the 1-10M-equivalent band.

  • https://fireworks.ai/ recorded 2026-06-04

    customers Cursor, Vercel, Notion, Sourcegraph, UiPath, Quora, Cresta, StackBlitz; case-study latency/throughput gains

Capability

4 medium confidence
4.0

Top-tier GPU-based inference (FireAttention) and fastest GPU provider on the AA gpt-oss-120b board (658.8 t/s, 3rd overall), but below the wafer/LPU speed-frontier (Cerebras). C4 -> strong but not the throughput frontier-definer that gets a 5.

Unchanged since 2026-06-09 (last edited, not re-checked)