
Amazon Web Services (AWS)
AvailableBest for Enterprise Production, Model Deployment, Massive Scale
GPUs: H100 (p5), A100 (p4), T4, V100, Graviton Inferentia
Compare 20+ verified AI infrastructure providers with data centers in US West. Find the best pricing for H100, A100, and RTX GPU clusters — and get matched within 24 hours.
US West has emerged as one of the most competitive markets for AI and GPU cloud computing infrastructure. With 20 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 US West 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 US West 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 US West 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 Enterprise Production, Model Deployment, Massive Scale
GPUs: H100 (p5), A100 (p4), T4, V100, Graviton Inferentia

Best for Enterprise LLM Training, HPC, AI Inference at Scale
GPUs: H100 SXM5 80GB, H100 NVL 94GB, A100 SXM4 80GB, L40S, A40, RTX A6000

Best for LLM Serverless APIs, Fast Image Generation, Voice AI
GPUs: H100, A100, RTX A6000

Best for Finetuning Open Source Models, Serverless inference endpoints
GPUs: H100, A100, RTX A6000, L40S

Best for AI Innovation, TPU Training, MLOps (Vertex AI)
GPUs: H100, A100 80GB, L4, T4, Cloud TPU v5e/v5p

Best for LLM Training, AI Research, Fine-Tuning
GPUs: H100 SXM5, H100 PCIe, A100 SXM4, A10, RTX 6000 Ada


Best for Enterprises, OpenAI Integrations, Hybrid Cloud
GPUs: H100 (ND H100 v5), A100, V100, T4

Best for Serverless Image Generation, LLM API inference, Open-Source Model Hosting
GPUs: H100, A100 80GB, A100 40GB, A40

Best for Serverless Inference, Ad-hoc Python scripts, Quick Prototyping
GPUs: H100, A100, A10G, T4

Best for Distributed Computing, Ray workload scaling, LLM hosting
GPUs: H100, A100, A10G, T4

Best for Scale-to-zero Inference, Custom Model Serving, Low-Latency APIs
GPUs: H100, A100 80GB, A10G, L4

Best for Environmentally conscious organizations, AI Training
GPUs: H100, A100 80GB, L40S

Best for AI Inference, Image Generation, Fine-Tuning, Budget ML
GPUs: H100 SXM5, H100 PCIe, A100 SXM4 80GB, RTX 4090, RTX 4080, A40, RTX 3090

Best for Edge AI, Application Developers requiring unified infrastructure, Web Apps + AI
GPUs: H100, A100 80GB, A40, A16

Best for Enterprise LLM Pre-training, Large-Scale AI Research, Foundation Model Development
GPUs: H100 SXM5 80GB, H100 NVL 94GB, A100 SXM4 80GB

Best for No-code Finetuning, AI Application Developers, Quick Prototyping
GPUs: A100, RTX A6000, RTX 3090

Best for Enterprise AI Training, Multi-Tenant GPU Clusters, Cost-Effective H100 Access
GPUs: H100 SXM5 80GB, H100 PCIe 80GB, A100 SXM4 80GB, A100 PCIe, L40S 48GB, RTX 4090

Best for ML Notebooks, AI Model Development, Research, Computer Vision
GPUs: H100 PCIe 80GB, A100 SXM4 80GB, A100 PCIe, RTX 4000, V100, P5000, P4000

Best for Bare Metal GPU, Low-Latency AI Inference, Global Edge AI Deployment
GPUs: H100 SXM5 80GB, A100 SXM4 80GB, RTX 4090 24GB, A10G 24GB
There are currently 20 verified GPU cloud providers with infrastructure in US West listed on ComputeStacker. These include providers offering H100, A100, and other high-performance GPUs for AI training and inference workloads.
GPU cloud pricing in US West 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.
US West 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.
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