NVIDIA H200 SXM price per hour — what should I budget?

💡 Answer

According to our April 21, 2026 snapshot, NVIDIA H200 SXM cloud instances begins at $2.05 per hour, with Vast.ai offering the lowest-cost on-demand rate across the 3 providers we track. Spot (preemptible) pricing on supporting clouds starts from $3.59 per hour — a discount of roughly up to 60% off on-demand, which makes short fine-tuning runs and checkpointable jobs substantially cheaper.

Reserved / commitment pricing cuts rates further by up to 40%, at the cost of locking in hours or months of capacity up front. For most AI teams, the sweet spot is spot for overnight fine-tuning and on-demand for interactive notebooks or low-latency real-time serving.

Get NVIDIA H200 SXM cloud access from Vast.ai, DigitalOcean, or RunPod. Live pricing, fast provisioning, competitive rates.

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Vast.ai vs DigitalOcean vs RunPod - GPU Provider Comparison (April 2026)

Side-by-side comparison of Vast.ai vs DigitalOcean vs RunPod. Quickly compare GPU models, hourly pricing, spot instances, billing granularity, VRAM, regions, developer tools, Kubernetes support, and compliance to narrow down your cloud GPU provider shortlist. Data updated April 2026.

Vast.ai vs DigitalOcean vs RunPod - GPU Provider Comparison (April 2026)
Vast.ai
Instant GPUs. Transparent Pricing.
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DigitalOcean
Simple, scalable GPU cloud for AI/ML
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RunPod
The cloud built for AI — deploy and scale GPU workloads from serverless inference to instant multi-node clusters on demand.
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Overview
Trustpilot Rating 4.4 4.6 3.7
Headquarters United States United States United States
Provider Type GPU Marketplace N/A GPU-Focused
Best For AI training inference fine-tuning Stable Diffusion batch processing research LLM serving generative AI AI training inference fine-tuning LLM deployment LLM serving computer vision startups generative AI research AI training inference fine-tuning Stable Diffusion batch processing rendering research LLM serving generative AI
GPU Hardware
GPU Models B200 H200 H100 SXM H100 NVL A100 SXM A100 PCIe RTX 5090 RTX 5080 RTX 5070 Ti RTX 6000 Pro RTX 6000 Ada RTX 4500 Ada RTX A6000 RTX A5000 RTX A4000 L40S L40 A40 A10 RTX 4090 RTX 4080 RTX 4070 Ti RTX 4070 RTX 4060 Ti RTX 4060 RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 Ti RTX 3070 Tesla V100 Tesla T4 A2 GTX 1080 RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200 B300 B200 H200 H100 SXM H100 PCIe H100 NVL MI300X A100 SXM A100 PCIe RTX 5090 RTX PRO 6000 L40S L40 RTX 6000 Ada RTX 5000 Ada RTX A6000 RTX A5000 RTX 4090 RTX 4080 SUPER RTX 4080 RTX 4070 Ti RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 A40 A30 A2 L4
Max VRAM (GB) 192 192 288
Max GPUs/Instance 8 8 8
Interconnect NVLink, InfiniBand NVLink NVLink
Pricing
Starting Price ($/hr) $0.06/hr $0.76/hr $0.06/hr
Billing Granularity Per-second Per-second Per-second
Spot/Preemptible Yes No Yes
Reserved Discounts Up to 50% (1-6 month reserved) N/A 15-29% (1-month to 1-year plans)
Free Credits Small test credit on signup $200 free credit for 60 days $5-$500 bonus after first $10 spend
Egress Fees Varies by host ($/TB) None (included in plan) None (Free)
Storage Varies by host ($/GB/hr, charged while instance exists) 500-720 GiB NVMe boot (included), 5 TiB NVMe scratch on larger configs, Volumes at $0.10/GiB/mo Container/Volume ($0.10/GB/mo), Idle Volume ($0.20/GB/mo), Network Storage ($0.07/GB/mo 1TB)
Infrastructure
Regions 500+ locations, 40+ data centers New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) 31 global regions
Uptime SLA No formal SLA (host reliability scores visible) 99% 99.99%
Developer Experience
Frameworks PyTorch TensorFlow CUDA vLLM ComfyUI PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face PyTorch TensorFlow JAX ONNX CUDA
Docker Support Yes Yes Yes
SSH Access Yes Yes Yes
Jupyter Notebooks Yes Yes Yes
API / CLI Yes Yes Yes
Setup Time Seconds Minutes Instant
Kubernetes Support No Yes No
Business Terms
Min Commitment None None None
Compliance SOC 2 Type 2 HIPAA GDPR CCPA SOC 2 Type II SOC 3 HIPAA (with BAA) CSA STAR Level 1 SOC 2 Type II
Vast.ai DigitalOcean RunPod

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