Alternatives to Etched AI

GPU-agnostic GenAI inference framework for serving, customizing, and optimizing open-source models.

World's fastest AI inference on wafer-scale chips for real-time agents and multimodal models.

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

Low-cost AI inference API for 100+ open and proprietary models

High-throughput inference and GPU compute for open-source AI models

Power-efficient chiplet-based AI inference hardware for enterprise LLM deployment at scale.

Fastest RDU inference for open-source AI models, including MiniMax M2.7, DeepSeek-V3.1, and gpt-oss-120b.

European AI platform for GDPR-compliant agents, custom models, and sovereign deployment.

High-performance open-source inference serving for LLMs and multimodal models.

Distributed LLM inference across any GPUs – run bigger models without buying bigger hardware.

Run large language models at home, BitTorrent-style decentralized inference

Official 1-bit LLM inference framework for lossless CPU/GPU inference

Open-source LLM inference optimization for NVIDIA GPUs with day-0 model support

Sub-200ms LPU inference for real-time AI apps and agents

Unified AI inference platform from kernel to cloud, with hardware portability across NVIDIA, AMD, Intel, ARM, and Apple Silicon.

One API for AI inference: image, video, audio, 3D, LLMs

High-throughput LLM inference and serving engine with PagedAttention.

One OpenAI-compatible API for 127+ models across text, image, video, and audio.

Turn any collection of computers into a private AI cluster for decentralized LLM inference

Self-improving inference API that routes tasks to the best model and learns from production traffic

Flat-rate coding agent inference on the fastest open LLMs

Decentralized, unfiltered AI inference on a peer-to-peer GPU network.

Fine-tune & deploy open-source LLMs without managing GPUs.

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

Free, community-powered AI image and text generation via volunteer GPUs.

Unified AI cloud: 200+ model APIs, serverless GPUs, and agent sandbox on one platform.

Open-source local AI runtime: text, voice, vision, images, video, agents.

Open-source Kubernetes operator for deploying and scaling LLMs, embeddings, and speech-to-text with intelligent autoscaling.