Alternatives to SambaNova Cloud

Together AI is an AI cloud for open-weight models: per-token inference APIs with GPU clusters underneath.

Fireworks AI runs open-model inference, ensembling and fine-tuning on one platform at per-token prices.

Flat-rate subscription offering unlimited inference on open models GLM, Qwen, DeepSeek, and Kimi, tuned continuously for your traffic type.

Modular's unified inference stack delivers hardware-portable LLM serving from GPU kernel to OpenAI-compatible cloud endpoint

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

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

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

Novita AI runs 200+ open-weight LLM, image, audio, video and Vision models through one OpenAI-compatible serverless API.

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

TensorRT-LLM: NVIDIA's open-source library for high-throughput LLM and visual generation inference

Multimodal inference API on dedicated NVIDIA GPUs with an OpenAI-compatible endpoint

Mesh LLM splits large open-weight models into layer ranges across your own GPUs and serves them from one OpenAI-compatible endpoint.

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

Etched builds custom inference silicon and rack-scale frontier inference clusters for trillion-parameter MoE prefill and decode.

One inference API for 400K+ image, video, audio, LLM and 3D models, plus serverless GPUs starting at $0.63/GPU-hour reserved.

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

European GPU cloud with self-service GB300, B300 and B200 instances plus per-token open-weight inference

Run Llama 3.1 405B and other huge language models at home over a BitTorrent-style decentralized inference network.

Open-source worker client that donates your idle GPU or CPU cycles to the AI Horde so anyone can generate images and text for free.

Mini Infer is a readable Python LLM inference engine with hand-written CUDA and Triton kernels for learning LLM serving.

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

Enterprise LLM fine-tuning with accuracy SLAs and sub-second inference.

Managed Ray platform for distributed model training, multimodal data curation, and batch embedding generation

One API for image, video, speech, music and text generation with hosted MCP agents

FuriosaAI's RNGD inference accelerators deliver LLM serving in 3 kW air-cooled racks behind an OpenAI-compatible API.

No-code LLM fine-tuning GUI for private, air-gapped model customization — H2O LLM Studio delivers sovereign AI training.

Parallax is a distributed model serving framework for building your own self-hosted AI cluster across scattered GPUs, Macs, and

Predibase's LoRA fine-tuning lineage now sits inside Rubrik's AI agent governance platform

Open-source KV cache layer for LLM inference that skips redundant prefill work

EnCharge AI builds analog in-memory computing silicon that runs AI inference at roughly 200 TOPS on about 8 watts.