Alternatives to FuriosaAI

Serverless AI inference on 100+ open models via an OpenAI-compatible API, billed per token with no GPU overhead.

Run open-weight model inference on Together AI — serverless APIs, batch jobs, and GPU clusters.

vLLM turns open-weight LLMs into high-throughput, OpenAI-compatible inference endpoints on your own GPUs.

NOS serves LLMs, diffusion, CLIP embeddings, Whisper and YOLOX from one PyTorch inference server.

Groq delivers fast LLM inference on its own LPU and LPX silicon through an OpenAI-compatible API.

Rent per-second GPU pods, autoscaling serverless inference endpoints and multi-node clusters on Runpod's AI developer cloud.

MAX Engine serves open models through one OpenAI-compatible endpoint across NVIDIA, AMD, Apple silicon, CPUs, and ASICs.

Serverless APIs for 200+ open-weight LLM, image, audio, video and vision models, plus GPU cloud and an agent sandbox.

Lilac turns idle GPU clusters into a white-labeled neocloud with spot H100 leases and serverless inference.

Rebellions builds chiplet-based AI inference hardware — Rebel100 silicon, RebelCard, RebelServer, RebelRack and RebelPOD for enterprise LLM

OpenAI-compatible multimodal inference API on dedicated NVIDIA GPUs, from $2.60/GPU-hour

ViewComfy turns ComfyUI workflows into no-code web apps and autoscaling serverless APIs, billed per active GPU second.

Mesh LLM splits large open-weight models into layer ranges across your own GPUs and serves them through one OpenAI-compatible endpoint at localhost:9337.

European GPU cloud with self-service NVIDIA GB300, B300 and H200 instances plus serverless GPU inference

KubeAI is a Kubernetes operator for self-hosted LLM, embedding, reranking, and speech-to-text inference with an OpenAI-compatible API.

Crusoe Cloud GPU instances, serverless inference, and fine-tuning priced for AI teams that want orchestration included

Serverless GPU cloud for production AI — declare Python functions and hardware in one file and pay per second.

Run fast, production-grade GPU inference on dedicated GPUs or token-priced Model APIs — with per-minute billing.

Cerebras inference cloud: frontier LLMs at up to 750 tokens/sec for real-time agents and voice AI.

Cerebrium is a serverless GPU platform for real-time AI, with memory and GPU snapshotting that restores CUDA workloads in about 3.38

Serverless GPU compute with forkable microVMs and millisecond-billed sandboxes for AI agents.

Axelera AI builds European edge inference accelerators — Metis and Europa AIPUs for vision, agentic and GenAI workloads from M.2 modules to

Deploy your own ML models on serverless Nvidia GPUs, billed per second with scale-to-zero.

Rent private bare-metal GPU servers in the EU with one-click vLLM, OpenWebUI and ComfyUI templates.

Predibase was a LoRA fine-tuning and multi-LoRA inference platform for open-source LLMs — now under Rubrik.

Nscale sells sovereign GPU cloud capacity — reserved compute, inference endpoints, and AI data centers it owns and powers.

Self-hosted control plane that turns your own GPUs into OpenAI- and Anthropic-compatible model endpoints

Cocoon is Telegram's decentralized confidential AI inference network on TON, paying GPU owners in TON to serve models inside Intel TDX enclaves.

Run fast, self-hosted inference for LLMs, vision-language and diffusion models with SGLang serving.

Synexa AI runs 100+ image, video, and 3D diffusion models through one serverless GPU API call at up to 60% below Replicate and Fal.ai.