Alternatives to Matrixhub

Brain-inspired AI hardware for ultra-low-power edge inference

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

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

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

AI-native GPU cloud for large-scale training, inference, and agentic AI

Open-source AI serving and modeling framework that runs on any hardware with a Mojo kernel layer.

Predibase by Rubrik: Fine-tune and serve open-source LLMs on managed infrastructure.

Run and fine-tune LLMs locally on your own hardware with Unsloth — fast, memory-efficient, no cloud needed.

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

Open-source LLM & visual-gen inference optimization library for NVIDIA GPUs, built for maximum throughput.

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

European edge AI inference with 15 TOPs/W efficiency and a full hardware-to-software stack.

Sovereign AI cloud for large-scale training, inference, and HPC.

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

High-performance AI inference platform for production ML models.

DeepInfra: low-cost, low-latency cloud inference API for 100+ open models

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.

India-native AI cloud for GPU training, inference, and agentic workloads with data sovereignty.

Per-second GPU cloud for AI inference, fine-tuning, and training

Ultra-fast AI inference platform for low-latency agents and apps

High-performance inference platform for deploying custom, fine-tuned, and open-source AI models in production.

Unified AI inference platform from kernel to cloud for any hardware, now under Qualcomm.

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

Deploy and fine-tune AI models via one unified API — no GPU management.

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

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

Rent 60,000+ consumer Nvidia GPUs from $0.02/hr for bursty AI inference and batch jobs.

Energy-first AI cloud for training, serverless fine-tuning, and high-performance inference.