GPU Cloud Companies

CoreWeave

Roseland, United States

CoreWeave is a specialized cloud provider for GPU-accelerated workloads, serving major AI companies with massive compute infrastructure.

TensorWave

Las Vegas, United States

TensorWave provides a dedicated, high-performance cloud infrastructure specializing in AMD Instinct™ GPUs, including the MI300X, for demanding AI and High-Performance Computing (HPC) workloads. Their platform is designed to accelerate large language model (LLM) training and inference, demonstrated by successful fine-tuning of a 405 billion parameter model on a single 8-GPU node with 192GB of VRAM per GPU. Notably, TensorWave simplifies the deployment of AMD’s ROCm software stack – reportedly loading in 1.5 minutes compared to 20 minutes on comparable NVIDIA systems – and has been utilized by companies like Kamiwaza to showcase enterprise GenAI platforms.

GMI Cloud

San Jose, United States

GMI Cloud delivers specialized GPU cloud infrastructure for AI workloads, offering on-demand access to high-performance NVIDIA H100 and H200 GPUs via their Compute service, alongside managed solutions like the Inference Engine for low-latency scaling and the Cluster Engine for GPU orchestration. As an NVIDIA Reference Cloud Platform Provider, GMI Cloud differentiates itself with competitive, pay-as-you-go pricing – currently $3.35-$3.50/GPU-hour – and full-stack control over AI-optimized datacenters. They serve a broad market of AI developers and businesses seeking to accelerate model training, deployment, and inference, and highlight success stories demonstrating faster time-to-market for AI applications.

Cerebrium is a serverless AI infrastructure platform for deploying and scaling machine learning models. Provides instant GPU access with automatic scaling.

Nebius

Amsterdam, Netherlands

Nebius provides scalable GPU cloud infrastructure from single GPUs to thousands of NVIDIA chips for AI training and inference.