Lambda · gpu
Lambda 8x NVIDIA H100 SXM 80 GB pricing and specs
1 published price for 8x NVIDIA H100 SXM 80 GB across 1 billing term, from Lambda's official pricing source. Prices stay in native currency and can exclude storage, IPv4, egress, support and tax.
Price sources dated . Every price is within its freshness deadline. A site rebuild is not a new source check.
8x NVIDIA H100 SXM 80 GB specifications
| Family | gpu |
|---|---|
| Machine type | Virtual machine |
| vCPU | 208 |
| Physical cores | Unknown |
| Memory | 1800 GiB |
| Architecture | Unknown |
| CPU allocation | Unknown |
| GPU | 8× NVIDIA H100 · 80 GiB/card |
| Local storage | Unknown |
| Network | Unknown |
| Provider status | Active |
Lowest and highest price by billing term
Each row compares one billing term in one currency across the price scopes that list it. Billing terms and currencies are never mixed or converted, and a stale price is compared only when no fresh one exists.
| Billing term | Lowest | Highest | Compared |
|---|---|---|---|
| On-demand | USD 31.92 / hrLambda public price list; deployment region not specified | Same as lowestOnly one price scope compared | 1 price scope |
Every published 8x NVIDIA H100 SXM 80 GB price
One table per billing term, cheapest first. Monthly figures follow the provider's billing: a vendor monthly cap is not the hourly price multiplied by 730.
On-demand
1 price
| Price scope | Hourly | Monthly | Tax and source date |
|---|---|---|---|
| Lambda public price list; deployment region not specified | USD 31.92 / hr | ≈$23,301.60 / mo730-hour estimate, not a cap | Tax excludedSource |
Source notes for these prices
Lambda lists $3.99 per GPU per hour; 8 × $3.99 = $31.92 per instance-hour (exact decimal arithmetic). The monthly amount is a 730-hour estimate. On-demand price before applicable sales tax/VAT/GST (page footnote). The page offers self-serve, first-come access, so a listed instance is not guaranteed to have capacity, and it states no deployment region.
Prices are published in US dollars; no currency conversion is involved.
Similar Lambda instance types
Up to 6 other Lambda instance types whose vCPU count and memory are both within a factor of two of this one, closest first, GPU or accelerator types only. Equal vCPU and RAM do not mean equal performance.
| Instance type | vCPU | Memory | CPU | Lowest on-demand |
|---|---|---|---|---|
| 4x NVIDIA H100 SXM 80 GB | 104 | 900 GiB | Unknown · Unknown | USD 16.36 / hr |
| 4x NVIDIA B200 SXM6 180 GB | 104 | 1440 GiB | Unknown · Unknown | USD 27.16 / hr |
| 4x NVIDIA A100 PCIe 40 GB | 120 | 900 GiB | Unknown · Unknown | USD 7.96 / hr |
| 8x NVIDIA A100 SXM 40 GB | 124 | 1800 GiB | Unknown · Unknown | USD 15.92 / hr |
| 8x NVIDIA H100 SXM 80 GB | 208 | 1800 GiB | Unknown · Unknown | USD 31.92 / hr |
| 8x NVIDIA B200 SXM6 180 GB | 208 | 2900 GiB | Unknown · Unknown | USD 53.52 / hr |
| 8x NVIDIA A100 SXM 80 GB | 240 | 1800 GiB | Unknown · Unknown | USD 22.32 / hr |
Sources and evidence
Official Lambda pricing page "Instances pricing" tables: on-demand USD prices per GPU per hour, before applicable sales tax/VAT/GST. Each instance's hourly price is the listed per-GPU price times its GPU count; monthly amounts are 730-hour estimates. The page states no deployment region and offers self-serve, first-come access, so capacity is not guaranteed.
View vendor pricing at Lambda ↗ · Lambda product page ↗
Data sources for these prices
The original collection sources, for auditing our data. They may contain raw API/JSON data or require authentication; they are not buying pages.
- https://lambda.ai/pricing · 1 price · retrieved
Specification notes
- Lambda pricing page, "Instances pricing" 8x tab: NVIDIA H100 SXM, 80 GB VRAM per GPU, 208 vCPUs, 1800 GiB RAM, 22 TiB SSD storage.
- GPU memory is stored as the page's stated 80 GB figure. The 22 TiB SSD is included with the instance, but the page does not state whether it is local or network storage, so no local-storage claim is made.
- CPU architecture, shared/dedicated allocation, physical cores and network throughput are not stated by the pricing page.
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