Lambda · gpu
Lambda 1x NVIDIA GH200 96 GB pricing and specs
1 published price for 1x NVIDIA GH200 96 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.
1x NVIDIA GH200 96 GB specifications
| Family | gpu |
|---|---|
| Machine type | Virtual machine |
| vCPU | 64 |
| Physical cores | Unknown |
| Memory | 432 GiB |
| Architecture | arm64 |
| CPU allocation | Unknown |
| GPU | 1× NVIDIA GH200 · 96 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 2.29 / hrLambda public price list; deployment region not specified | Same as lowestOnly one price scope compared | 1 price scope |
Every published 1x NVIDIA GH200 96 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 2.29 / hr | ≈$1,671.70 / mo730-hour estimate, not a cap | Tax excludedSource |
Source notes for these prices
Lambda lists $2.29 per GPU per hour; 1 × $2.29 = $2.29 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 |
|---|---|---|---|---|
| 2x NVIDIA H100 SXM 80 GB | 52 | 450 GiB | Unknown · Unknown | USD 8.38 / hr |
| 2x NVIDIA B200 SXM6 180 GB | 52 | 720 GiB | Unknown · Unknown | USD 13.78 / hr |
| 4x NVIDIA A6000 48 GB | 56 | 400 GiB | Unknown · Unknown | USD 4.36 / hr |
| 2x NVIDIA A100 PCIe 40 GB | 60 | 450 GiB | Unknown · Unknown | USD 3.98 / hr |
| 1x NVIDIA GH200 96 GB | 64 | 432 GiB | Unknown · arm64 | USD 2.29 / hr |
| 8x NVIDIA Tesla V100 16 GB | 88 | 448 GiB | Unknown · Unknown | USD 6.32 / 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" 1x tab: NVIDIA GH200, 96 GB VRAM per GPU, 64 vCPUs, 432 GiB RAM, 4 TiB SSD storage.
- GPU memory is stored as the page's stated 96 GB figure. The 4 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 arm64: Lambda's On-Demand Cloud docs (https://docs.lambda.ai/public-cloud/on-demand/, reviewed 2026-10-22) footnote the GH200 instance type: "The NVIDIA GH200 Grace Hopper Superchip features an onboard ARM CPU." The same page lists x86-64 and arm64 as the only image architectures.
- Shared/dedicated allocation, physical cores and network throughput are not stated by the pricing page.
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