--- title: "Rent H100 SXM — $1.428/hr Cloud GPU Pricing (2026) | PowerGPU" description: "Rent the H100 SXM (80 GB HBM3) from $0.714/hr interruptible or $1.428/hr on-demand — fixed, ≥30% below market. 54 GPUs in 7 regions, per-second billing." url: https://powergpu.ai/gpu/h100-sxm last_modified: 2026-09-14T11:04:20+00:00 prices_as_of: 2026-09-14 site: PowerGPU (powergpu.ai) --- Datacenter flagship · Hopper · launched 2022 · prices checked 2026-09-14 # Rent NVIDIA H100 SXM — 80 GB, $1.428/hr on-demand - VRAM 80 GB HBM3 - FP16 tensor 990 TFLOPS - PowerScore 697 RTX 3090 = 100 - Configs 1–8× NVLink - Online now 54 7 regions [On-demand (guaranteed) $1.428 /GPU-hr ≈ $1,042/mo · market ~~$2.04~~ (−30%)](https://cloud.powergpu.ai/?gpu=h100-sxm) [Interruptible $0.714 /GPU-hr flat −50% · pausable, disk kept](https://cloud.powergpu.ai/?gpu=h100-sxm&type=spot) [Reserved 3 mo $0.928 /GPU-hr −35% · capacity held for you](https://powergpu.ai/products/reserved) Billed per second, price locked at deploy. Storage $0.08/GB/mo · bandwidth $0.01/GB — [the whole fee schedule](https://powergpu.ai/pricing). Next weekly market re-check: 2026-09-21. Datacenter flagship · Hopper architecture The H100 SXM is the reference training GPU of its generation: 80 GB HBM3 at 3.35 TB/s, 700 W and full 900 GB/s NVLink on 8-GPU HGX baseboards. It is the deepest pool on the sheet, which keeps interruptible slots available, and the price-performance default for pre-training, RLHF and full fine-tunes. This is training-grade silicon: HBM3 memory feeding tensor cores at multi-TB/s, NVLink for scaling past one card, and the reliability profile of Tier-III datacenter hosts. Teams rent it for pre-training, long fine-tunes and high-throughput inference where batch size is money. ## NVIDIA H100 SXM specs: VRAM, TFLOPS, bandwidth - **GPU model**: NVIDIA H100 SXM · **Architecture**: Hopper (2022) - **VRAM**: 80 GB HBM3 · **Memory bandwidth**: 3,350 GB/s - **FP16 tensor perf.**: 990 TFLOPS · **FP32 perf.**: 67.0 TFLOPS - **CUDA cores**: 16,896 · **TDP**: 700 W - **PowerScore ((RTX 3090 = 100))**: 697 · **PCIe generation**: Gen 5.0 - **Multi-GPU**: 1× – 8× · NVLink · **Max instance storage**: 16,000 GB NVMe - **Network up to**: 10,000 Mbps · **CUDA**: 12.4 – 13.0 Bandwidth, CUDA cores, TDP and FP32 are public NVIDIA figures; FP16 tensor is the dense (non-sparsity) number. Machine-level values come from live inventory. ## H100 SXM price per hour: on-demand, interruptible, reserved One public rule sets every price on this page: the marketplace median for the H100 SXM ($2.04/hr, snapshot 2026-09-14) × 0.70, rounded down — so on-demand is $1.428, **30% below market**. Interruptible halves it; a 3-month reservation takes another 35% off. | Mode | Per GPU-hour | Per day (24 h) | Per month (730 h) | What you get | | --- | --- | --- | --- | --- | | **On-demand** | $1.428 | $34.27 | $1,042 | Guaranteed capacity, price locked at deploy, stop anytime | | **Interruptible** | $0.714 | $17.14 | $521 | Flat −50%; may pause under capacity pressure, disk kept, auto-requeue | | **Reserved (3 months)** | $0.928 | $22.27 | $677 | −35% on on-demand, rate locked for the term, capacity held | Per GPU: an 8× machine costs exactly 8× — no multi-GPU premium. Estimate a full month with storage and bandwidth in the [GPU cost calculator](https://powergpu.ai/calculator). ## What you can run on a H100 SXM (80 GB VRAM) With 80 GB of HBM3, a single card holds a **~32B-parameter LLM in FP16** or up to **~123B parameters quantized to 4-bit**, with room for KV-cache at practical context lengths. Scale to 8× GPUs on one machine with NVLink for bigger models or bigger batches — the per-GPU price stays $1.428. - Recommended for [llm training](https://powergpu.ai/use-cases/llm-training) — H100 SXM from 30%+ under market - Recommended for [scientific computing](https://powergpu.ai/use-cases/hpc) — Up to 4.8 TB/s per GPU - One-click template: [vLLM on a H100 SXM](https://powergpu.ai/templates/vllm) - One-click template: [PyTorch NGC on a H100 SXM](https://powergpu.ai/templates/pytorch-ngc) - One-click template: [Axolotl — Fine Tuning on a H100 SXM](https://powergpu.ai/templates/axolotl-fine-tuning) - Sizing help: [LLM VRAM requirements guide](https://powergpu.ai/guides/llm-vram-requirements) ## H100 SXM availability by region 54 × H100 SXM across 12 machines, live from inventory: - Amsterdam - Stockholm - Mumbai - Montréal - London - Chicago, IL - Singapore ## H100 SXM vs alternatives: price per TFLOP | GPU | VRAM | FP16 | On-demand | $ / TFLOP-hr | | --- | --- | --- | --- | --- | | **H100 SXM** (this card) | 80 GB | 990 | $1.428 | $1.44‰ | | [A100 SXM4](https://powergpu.ai/gpu/a100-sxm4) | 80 GB | 312 | $0.560 | $1.79‰ | | [H200](https://powergpu.ai/gpu/h200) | 141 GB | 990 | $2.791 | $2.82‰ | | [B200](https://powergpu.ai/gpu/b200) | 192 GB | 2,250 | $5.425 | $2.41‰ | | [B300](https://powergpu.ai/gpu/b300) | 288 GB | 2,800 | $6.737 | $2.41‰ | ‰ = dollars per 1,000 TFLOP-hours of FP16 — a rough value-for-compute yardstick across cards. - [H100 SXM vs A100 SXM4](https://powergpu.ai/compare/h100-sxm-vs-a100-sxm4) — specs, price per hour, which to rent - [H100 SXM vs H200](https://powergpu.ai/compare/h100-sxm-vs-h200) — specs, price per hour, which to rent - [H100 SXM vs B200](https://powergpu.ai/compare/h100-sxm-vs-b200) — specs, price per hour, which to rent - [H100 SXM vs H100 PCIE](https://powergpu.ai/compare/h100-sxm-vs-h100-pcie) — specs, price per hour, which to rent - [H100 NVL vs H100 SXM](https://powergpu.ai/compare/h100-nvl-vs-h100-sxm) — specs, price per hour, which to rent - [All GPU comparisons](https://powergpu.ai/compare) ## Renting a H100 SXM: frequently asked questions **How much does it cost to rent an NVIDIA H100 SXM per hour?** $1.428 per GPU-hour on-demand — a fixed price set at least 30% below the current market median of $2.04. Interruptible capacity costs $0.714/hr and a 3-month reservation $0.928/hr. Around $1,042/month if you keep one running non-stop, billed per second. **What can a H100 SXM with 80 GB VRAM run?** In LLM terms, roughly a 32B-parameter model in FP16 or up to ~123B parameters 4-bit quantized on a single card, with context headroom. Multi-GPU instances (up to 8× on current inventory) multiply that; diffusion and rendering workloads fit comfortably at this VRAM class. **Is the H100 SXM available to rent right now?** Yes — 54 GPUs across 12 machines in 7 regions are listed as we render this page. Configurations go from 1× to 8× with NVLink on multi-GPU chassis. Deploy from the console and it is running in about 30 seconds. **How do I deploy a H100 SXM?** Create an account (email + password, no card, no KYC), top up in crypto, open the console, filter by H100 SXM, pick a machine and a template such as PyTorch, vLLM or ComfyUI. The same deploy is one command with the CLI: powergpu launch --gpu h100-sxm --template pytorch. **Why is the H100 SXM cheaper here than on GPU marketplaces?** We price from the public marketplace median and fix our on-demand rate at least 30% below it, rounded down. The price is re-checked weekly (next check 2026-09-21) and published — no auctions, no per-host roulette, no bidding. --- *About PowerGPU:* PowerGPU (powergpu.ai) is a cloud GPU rental service offering 80 NVIDIA GPU models — from the RTX A2000 at $0.024/hr to the B300 — at fixed prices set at least 30% below the public GPU marketplace median and re-checked weekly (H100 SXM: $1.428/hr on-demand). Billing is per second with no minimums; payment is crypto only (USDT, BTC, XMR, ETH, SOL, LTC, TRX) with no KYC. Instances run in Tier-III datacenters across 32 regions with a 99.9% uptime SLA and deploy in about 30 seconds from the web console (cloud.powergpu.ai) or the REST API. Source: https://powergpu.ai/gpu/h100-sxm · Site index for AI assistants: https://powergpu.ai/llms.txt · Full content: https://powergpu.ai/llms-full.txt