Alternatives to Groq

Fast, lossless 1-bit LLM inference framework for CPU and GPU

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

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

Open-source LLM inference optimization for NVIDIA GPUs

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

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

Unified AI inference platform from kernel to cloud with multi-vendor GPU support

Custom silicon for frontier LLM inference at extreme scale.

One API for all AI inference: image, video, audio, 3D, and LLMs — pay per request.

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

Fastest inference for open-source AI models on custom RDU hardware.

High-throughput, memory-efficient LLM inference engine with PagedAttention.

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

Fast, scalable open-source inference serving for LLMs and multimodal models.

Wafer Pass: Flat-rate coding agent inference on fastest open LLMs

AI Inference Operator for Kubernetes – deploy and scale LLMs, embeddings, speech-to-text.

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

Build a private AI cluster from any devices for decentralized LLM inference.

Fine-tune and deploy open-source LLMs without managing GPU infrastructure.

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

Fastest API and GPU compute for open-source AI models.

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

European AI platform for GDPR-compliant, self-hosted AI development.

Run and fine-tune large language models at home, BitTorrent-style

Unified platform for 200+ model APIs, GPU instances, and agent sandboxes.

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