Alternatives to Automorphic

Rain AI is a pre-production hardware company building energy-efficient, brain-inspired analog in-memory chips for ultra-low-power AI inference at the edge.

Recogni's Tensordyne Napier is a rack-scale AI inference system running on logarithmic math silicon for multi-trillion-parameter MoE

Decentralized AI inference with sub-5ms latency and verifiable compute

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

AI-native GPU cloud for large-scale model training, reinforcement learning, and low-latency inference on NVIDIA's newest hardware.

High-performance serving and modeling framework for open AI models on NVIDIA, AMD, Apple silicon, and Qualcomm hardware.

Predibase is a managed platform for fine-tuning and serving open-source LLMs, now part of Rubrik.

Open-source framework and desktop app for fine-tuning and running LLMs locally with custom CUDA kernels — 2x faster training and less VRAM on your own GPU.

Managed Ray platform for distributed training, multimodal data curation, batch embeddings, and LLM post-training on your own GPUs.

NVIDIA's open-source library for optimizing LLM and visual generation inference on NVIDIA GPUs with specialized kernels and a Python API.

Hailo builds edge AI processors and vision SoCs — DRAM-free accelerators and camera chips that run vision and generative AI on-device under ~5W.

European edge AI inference accelerators — the Metis and Europa AIPU lines run vision, agentic and GenAI workloads from embedded modules to server cards.

Nscale is a sovereign AI cloud selling GPU training, inference, and HPC capacity inside data centers it owns and powers.

Groq is an inference cloud built for fast LLM inference on open-weight models, powered by its LPU and new LPX architecture.

High-performance AI inference platform for production ML models.

DeepInfra is a serverless inference cloud with an OpenAI-compatible API covering 100+ open models — DeepSeek-V4-Flash-0731 at $0.06/1M input tokens, up to

Microsoft's MIT-licensed inference framework that runs 1-bit (ternary) BitNet b1.58 LLMs losslessly on CPU and GPU — no GPU required.

FuriosaAI builds RNGD inference accelerators and the NXT RNGD Server, a 3 kW, 8-card appliance aimed at power-constrained LLM and agentic serving.

ThinkDiffusion runs Stable Diffusion, ComfyUI, Forge, and Kohya LoRA training on a private cloud GPU.

India-native GPU cloud on A100 80GB and H100 instances, managed AI Pods and Kubernetes, billed in INR with data staying in India.

Runpod is an AI developer cloud for renting GPU pods, serverless inference endpoints, and multi-node clusters by the second.

Cerebras sells ultra-fast AI inference on wafer-scale hardware — up to 750 tokens/sec on GPT-5.6 Sol, aimed at latency-critical agents, code tools, and voice.

Baseten is a production inference platform for deploying open-source, fine-tuned, and custom AI models on dedicated GPUs, with per-minute billing and no charge

One free REST API for text, image, audio, and video generation — no API key required

Unified AI inference stack from GPU kernel to API endpoint, portable across NVIDIA, AMD, TPU, Trainium, and Qualcomm silicon.

Run and fine-tune generative AI models with a serverless API — one line of code, one bill.

Together Compute is an API-first cloud for serving open-weight AI models — serverless inference, batch jobs, fine-tuning, and GPU clusters on one platform.

Serverless GPU cloud where you describe logic and hardware in Python and Modal handles routing, scaling, and sub-second container boot.

Salad Cloud rents idle consumer GPUs from $0.015 per GPU-hour for retryable AI inference, batch jobs, image generation, and transcription.

Crusoe Cloud is an AI-only GPU cloud and managed AI platform built on Crusoe's own energy-first, modular data centers.