Fireworks AI

Fireworks AISince 2023-09

Fireworks AI is an enterprise AI inference and model serving platform built to run open-weights LLMs, vision models, and multimodal architectures with lightning-fast speeds and lowest cost. Created by former Meta AI and PyTorch infrastructure engineers, Fireworks powers millions of daily AI requests with sub-100ms time-to-first-token (TTFT) and high token throughput. Fireworks allows developers to seamlessly deploy, fine-tune, and serve models like Llama 3.1/3.3, DeepSeek-R1/V3, Mixtral, Qwen 2.5, and Flux.1 with zero cold starts. It uniquely supports instant LoRA fine-tuning switching on shared GPU infrastructure, allowing thousands of custom fine-tuned adapters to run without paying for dedicated hardware.

The Fireworks AI engine utilizes proprietary GPU compilation optimizations, speculative decoding, dynamic kernel fusing, and custom tensor-parallel kernels to maximize memory bandwidth and FLOPS efficiency on NVIDIA H100 and B200 clusters. Fireworks provides a fully OpenAI-compatible REST and streaming API alongside native function calling, JSON schema guarantees, and multimodal image input. Its FireAttention technology drastically cuts KV-cache memory overhead, enabling massive concurrency and context lengths up to 128k tokens while maintaining deterministic latency SLAs.

Prime IntellectSince 2026-08

Prime Intellect is a decentralized AI compute platform and distributed training infrastructure. It aggregates globally distributed GPUs into a unified cluster, enabling developers and researchers to train and fine-tune large-scale open AI models at up to 70% lower compute costs.

Prime Intellect provides high-bandwidth distributed training protocols (Prime Framework) capable of training across heterogeneous GPU nodes globally. It features on-demand spot instances, serverless inference endpoints, and open-source model weights for researchers.