Index median price per GPU per hour, by billing type. Nothing is interpolated.
At a glance
Median on-demand
$3.50/GPU/hr
Cheapest on-demand
$1.68Latitude.sh
Floor, any billing
$0.79incl. spot
Per month at 720h
$2,520
NVIDIA H100 SXM pricing by provider
One card per provider, cheapest first. A configuration is one priced unit — an instance type, a SKU, a marketplace offer — and the per-GPU price is that unit's price divided by its GPU count. Open a card to see every configuration with its vCPU, RAM and region where the provider publishes them.
Every time a provider's median for the NVIDIA H100 SXM moved between two consecutive snapshots. A listing appearing or vanishing is not a price change and is not shown.
By provider country: Brazil $1.68 (1) · China $1.80 (1) · Italy $2.12 (1) · Canada $2.45 (1) · Germany $2.60 (1) · France $2.75 (2) · UK $2.87 (4) · India $3.49 (3) · UAE $3.73 (1) · USA $4.06 (24) · Finland $4.21 (1) · Netherlands $4.50 (1). Full breakdown →
What fits on a NVIDIA H100 SXM
Weights + KV cache at 8K context + runtime overhead, against 72 GB usable of the 80 GB on the card. Capacity follows total parameters, even for mixture-of-experts models — any expert may be needed next. Where one card is not enough, the table says how many are, and prices the set at today's median.
Model
Params
4-bit
8-bit
16-bit
Kimi K3
2.8T104B active
22× GPU$77.00/hr
42× GPU$147.00/hr
78× GPU$273.00/hr
DeepSeek V4.1-Flash
552B16B active
5× GPU$17.50/hr
9× GPU$31.50/hr
16× GPU$56.00/hr
Llama 4 Maverick
400B17B active
4× GPU$14.00/hr
6× GPU$21.00/hr
12× GPU$42.00/hr
gpt-oss-120b
117B5.1B active
✓ 67.9 GB~934 tok/s · $1.04/M tok
2× GPU$7.00/hr
4× GPU$14.00/hr
Llama 3.1 70B
70B
✓ 44.5 GB~68 tok/s · $14.3/M tok
2× GPU$7.00/hr
3× GPU$10.50/hr
Gemma 4 31B
31B
✓ 21.2 GB~154 tok/s · $6.31/M tok
✓ 36.7 GB~81 tok/s · $12/M tok
✓ 65.7 GB~43 tok/s · $22.61/M tok
Qwen3 Coder 30B-A3B
30.5B3.3B active
✓ 19 GB~1444 tok/s · $0.67/M tok
✓ 34.3 GB~764 tok/s · $1.27/M tok
✓ 62.9 GB~406 tok/s · $2.39/M tok
Qwen3.8 27B
27B
✓ 18.7 GB~176 tok/s · $5.52/M tok
✓ 32.2 GB~93 tok/s · $10.45/M tok
✓ 57.6 GB~50 tok/s · $19.44/M tok
gpt-oss-20b
21B3.6B active
✓ 13.7 GB~1323 tok/s · $0.73/M tok
✓ 24.2 GB~701 tok/s · $1.39/M tok
✓ 43.9 GB~372 tok/s · $2.61/M tok
Llama 3.1 8B
8B
✓ 6.9 GB~596 tok/s · $1.63/M tok
✓ 10.9 GB~315 tok/s · $3.09/M tok
✓ 18.4 GB~168 tok/s · $5.79/M tok
tok/s is decode throughput from memory bandwidth, derated 20%, single stream — an estimate, not a benchmark. $/M tok is the hourly median divided by that rate: the one-user floor for a million generated tokens. Set cost uses today's median × GPUs required.
Buy or rent a H100 SXM?
Approx. list price
$25,000not tracked
Rent, per month
$2,520at median, 720 h
Break-even
7,143 h≈ 9.9 months
Rent for fewer than about 9.9 months of continuous use and renting wins on the card alone; past that, owning does — before the server, power, cooling and the person who keeps it running, which for a datacenter card are not small. The list price is a typical quoted figure and is not tracked by the index.
Specifications
Memory80 GB HBM3
Memory bandwidth3,350 GB/s
ArchitectureHopper
VendorNVIDIA
ClassDatacenter
Released2022-09
Bandwidth is listed because it governs generation speed: each token streams the active weights once, so tokens per second is bandwidth divided by bytes read. TFLOPs decide prompt processing and training, not how fast text appears.
As of 2026-10-11, the median on-demand price across 43 providers is $3.50 per GPU-hour, about $2,520 a month at 720 hours. The cheapest we saw was $1.68 at Latitude.sh.
Why do prices for the same GPU vary so much?
Hyperscalers bundle CPU, RAM and network into an instance price and charge for the ecosystem around it. Neoclouds sell the GPU more directly. Marketplaces are independent hosts competing on price, with the trade-offs of shared, third-party hardware. The per-GPU figure is the instance price divided by GPU count, which is the only way to compare an 8-GPU node with a single-card listing.
Is the median the price I will pay?
No — it is the middle of the market. Each provider's own median is taken first so a provider with many instance sizes counts once, then the median across providers. Spot and reserved rates are excluded from it; they set the floor shown separately. Use it to judge whether a quote is high or low, then verify with the provider.
Which models can a NVIDIA H100 SXM run?
With 80 GB per GPU, the table above shows which reference models fit on one card at 4, 8 and 16-bit, using the same memory arithmetic as the rest of Runyard: weights plus KV cache plus runtime overhead, with capacity following total parameters even for mixture-of-experts models. Where a model needs more than one GPU it says how many and what that set costs at today's median.
Own the hardware instead? Work out what your card holds with the same arithmetic.