H100 GPUs at $3.48/Hour — 72% Cheaper Than AWS

GPU compute is the bottleneck for every AI team that wants to fine-tune models, run large local inference, or generate images at scale. The bottleneck isn't supply anymore — it's pricing.

AWS charges approximately $12.36 per GPU-hour for H100 access on p5.48xlarge instances. GCP and Azure are in the same range. Lambda Labs offers $2.49–3.29/hr but provides compute only — no integrated model serving, no agent orchestration, no tool ecosystem.

Today Hanzo Bot is opening on-demand H100 access at $3.48/hr, with everything else built in.

GPU Tiers

Price Comparison

Hanzo is competitive with specialist GPU clouds while offering something they don't: integrated AI model serving, a 100+ model gateway, 260+ MCP tools, and managed compute — all under the same account.

Use Cases

Fine-tuning — Fine-tune Zen models or any open-weight model on your data. LoRA, QLoRA, full fine-tuning. Your model stays on your infrastructure.

Local inference — Run large models locally when you need sub-10ms latency for real-time agent loops. No round-trip to an API. No rate limits.

Image and video generation — Run Zen3 Image or open-source diffusion models at scale. At $3.48/hr, a single H100 can generate thousands of images per hour.

ML training — Multi-GPU configurations (2x and 4x H100) with NVLink for distributed training workloads.

No Commitment Required

Pay by the hour. Scale to zero when idle. No reserved instances, no annual contracts, no minimum spend.

For teams that need guaranteed capacity, contact [email protected] for reserved pricing.

Getting Started

GPU instances are available now through hanzo.bot. Select a GPU tier, deploy in any of our 4 global regions, and start running inference in minutes.

All GPU instances include the same integrated AI gateway, tool access, and managed infrastructure as our CPU plans.