
HPE GreenLake
WaitlistBest for Governments and top-tier research institutions requiring true supercomputing architectures for AI.
GPUs: H100, Cray Supercomputing
Compare 11+ verified AI infrastructure providers with data centers in North America. Find the best pricing for H100, A100, and RTX GPU clusters — and get matched within 24 hours.
North America has emerged as one of the most competitive markets for AI and GPU cloud computing infrastructure. With 11 providers operating in the region, businesses and researchers have access to a diverse range of GPU configurations — from cost-effective RTX 4090 setups ideal for inference workloads, to bare-metal H100 NVLink clusters built for large-scale model training.
Whether you're training a large language model, running real-time inference at scale, or building a GPU-accelerated data pipeline, providers in North America offer competitive pricing, low-latency connectivity, and enterprise-grade SLAs. Many providers in this region offer hourly, monthly, and reserved instance pricing — ensuring flexibility for startups and enterprises alike.
GPU pricing in North America is broadly in line with global averages, though local providers often undercut hyperscalers by 20–40%. Expect to pay $0.50–$2.00/hr for mid-range GPUs (RTX 4090, A6000) and $2.00–$8.00+/hr for premium H100 and A100 instances. Reserved and committed-use discounts of 30–60% are commonly available.
Demand for GPU compute in North America is growing rapidly, driven by the explosion of generative AI, LLM fine-tuning projects, and computer vision applications. Providers in this region have been expanding capacity to meet demand, but high-end H100 instances can still have waitlists — so it's worth securing capacity in advance.

Best for Governments and top-tier research institutions requiring true supercomputing architectures for AI.
GPUs: H100, Cray Supercomputing





Best for Researchers and enterprise teams tackling massive, intractable optimization and logistical ML problems.
GPUs: Quantum Annealer (Advantage System)


Best for Hardware engineers and AI developers optimizing inference for power-constrained or high-throughput edge deployments.
GPUs: speedAI (At-Memory Compute)



There are currently 11 verified GPU cloud providers with infrastructure in North America listed on ComputeStacker. These include providers offering H100, A100, and other high-performance GPUs for AI training and inference workloads.
GPU cloud pricing in North America varies by GPU type and configuration. Entry-level GPUs (RTX 4090, A6000) start from around $0.50–$2/hr, while enterprise-grade H100 and A100 clusters range from $2–$8/hr per GPU. Use our comparison tool to find the best rates.
North America has a growing AI infrastructure ecosystem with competitive pricing, reliable connectivity, and proximity to enterprise customers. Several tier-1 data centers operate in the region, making it a strong choice for latency-sensitive AI applications.
Yes. Use the "Get a Quote" button to submit your requirements. ComputeStacker will match you with providers available in North America within 24 hours — no commitment required.