Alternatives to Rain AI

Zettascale builds XPU accelerator chips that cut AI inference and training energy by keeping data close to compute.

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

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

CoreWeave is the AI-native GPU cloud for training, reinforcement learning post-training, and low-latency inference on NVIDIA cluster-scale

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

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

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

EU-sovereign GPU cloud for AI training and inference — Hyperstack on-demand or single-tenant Secure Private Cloud.

Sovereign AI cloud: Nscale owns the data centers and power, then sells reserved GPU capacity, managed inference and fleet operations on top.

Flama packages any trained model into one .flm file and serves it as a production HTTP API with a single CLI command.

Freesolo is a managed post-training platform that turns your dataset into a production-ready small language model via Claude Code, Cursor,

High-performance AI inference platform for production ML models.

Modal's serverless GPU cloud runs Python functions and sandboxes with per-second billing, spinning up GPU inference and agent compute from

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

Managed Ray platform for distributed training, multimodal data curation, and batch embedding on your own GPUs

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

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

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

Rent GPU pods, Serverless inference endpoints and multi-node GPU clusters by the second on Runpod's AI developer cloud.

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

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

Open-source LLM fine-tuning framework for LoRA, MoE, GRPO, and NVFP4 post-training on your own GPUs

Cactus runs on-device function calling and speech-to-text on tiny hardware — Needle 3 in 8–29 MB, Whistle in 16.9 MB, both CPU-only.

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

Salad Cloud rents idle consumer GPUs from $0.015 per GPU-hour, billed per second, for retryable inference and batch work.

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

One API key for 1,000+ image, video, audio, 3D and LLM models on pay-per-use inference pricing

PEFT is Hugging Face's free library for parameter-efficient fine-tuning of LLMs, vision, and diffusion models on consumer GPUs.

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.