Alternatives to Cocoon

Rain AI is developing brain-inspired, analog in-memory AI chips for ultra-low-power edge inference — pre-production, no shipping silicon yet.

Air-cooled AI inference system delivering 608 PFLOPS per rack with log-math architecture.

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

CoreWeave is an AI-native GPU cloud for large-scale model training, reinforcement learning, and low-latency inference.

Analog in-memory computing hardware delivering ultra-efficient AI inference from edge to cloud.

MAX Engine serves open-source LLMs through an OpenAI-compatible API on NVIDIA, AMD, and Apple silicon with no CUDA or PyTorch dependency.

Enterprise-managed LLM fine-tuning and serving platform by Rubrik

Fine-tune and run LLMs locally with Unsloth — custom CUDA kernels cut VRAM and speed up training on your own GPU.

Managed Ray platform for distributed training, batch inference, and data curation at scale.

TensorRT-LLM: NVIDIA's open-source LLM inference optimization library with specialized GPU kernels.

Edge AI processors for low-power GenAI, vision, and robotics inference.

European edge AI inference accelerators with a full hardware-to-software stack, built for low-power deployments.

Nscale is a sovereign AI cloud for large-scale GPU training, inference, and HPC with managed Slurm and Kubernetes.

Groq: sub-200ms LPU inference for real-time AI apps and agents

High-performance AI inference platform for production ML models.

DeepInfra is a serverless inference cloud serving 100+ open models — DeepSeek-V4-Flash-0731 at $0.06 per 1M input tokens — through one OpenAI-compatible API

Microsoft's open-source framework for running 1-bit LLMs with fast, lossless CPU/GPU inference

Custom AI inference accelerators for LLM and agentic AI from FuriosaAI.

Run Stable Diffusion, ComfyUI, and open-source Gen AI in your cloud workspace.

Krutrim Cloud delivers India-native GPU cloud compute for training, inference, and agentic AI workloads with data residency.

GPU cloud for AI inference, fine-tuning, and training — billed per second

Cerebras delivers ultra-fast AI inference on wafer-scale hardware for latency-critical agents and apps.

Baseten is an AI inference platform for deploying custom, fine-tuned, and open-source models on dedicated GPUs at production scale.

Open REST API for multi-modal AI generation with no signup required

Unified AI inference platform from kernel to cloud for any hardware, now with Qualcomm support and open-source Mojo.

Run AI models with an API — generate images, video, speech and music from one line of code

AI-native cloud for high-throughput open-source model inference and GPU compute at scale.

Serverless GPU infrastructure for AI inference, training, and sandboxes with sub-second cold starts and instant autoscaling.

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

Crusoe Cloud: energy-first AI cloud for training, inference, and serverless fine-tuning