Lambda Labs GPU Pricing 2026: Per-Hour Rates

Quick Answer

Lambda Labs GPU pricing 2026: H100 PCIe 1x at $3.29/GPU-hr; H100 SXM 1x at $4.29/GPU-hr; H100 SXM 8x at $3.99/GPU-hr; B200 SXM 8x at $6.69/GPU-hr; A100 PCIe 40GB at $1.99/GPU-hr. Lambda 1-Click Cluster reserved pricing starts at $5.54/GPU-hr at 256-GPU scale. Lambda bills per-minute with no egress fees.

Last verified: Sep 16, 2026.

At a glance

• Cheapest published GPU: Quadro RTX 6000 at $0.69/GPU-hr (legacy visualization)
• Cheapest AI GPU: A100 PCIe 40GB at $1.99/GPU-hr; V100 16GB at $0.79/GPU-hr
• H100 PCIe 1x: $3.29/GPU-hr; H100 SXM 1x $4.29/GPU-hr
• H100 SXM 8x: $3.99/GPU-hr (208 vCPUs, 1.8 TB RAM, 22 TB SSD per node)
• B200 SXM 8x: $6.69/GPU-hr; B300 not listed on-demand
• 1-Click Cluster reserved: 16-GPU HGX H100 $6.16/GPU-hr; 256-GPU $5.54/GPU-hr
• Egress: Free; billed per-minute; no setup fees

Why Lambda sits in the middle of the GPU price range

Lambda Labs occupies the practical middle layer between cheap marketplace rates and expensive hyperscaler list — with the most transparent published rate card.

Lambda's per-GPU rates land between RunPod spot ($1.99/GPU-hr for H100 PCIe) and CoreWeave on-demand ($6.16/GPU-hr for H100 SXM). On 8-GPU instances the 8x H100 SXM is $3.99/GPU-hr with full NVLink 4 interconnect (900 GB/s per GPU). Lambda does not bundle the same way CoreWeave does — you get a published instance configuration with explicit CPU, RAM, and storage per node, which makes comparison straightforward (lambda.ai/pricing, July 2026).

Lambda's recurring complaint in 2026 is capacity, not price. Popular instance types go unavailable during demand spikes, and the typical workaround is to wait 1-3 weeks for capacity to free up. For workloads with flexible timing this is fine; for time-sensitive training windows it is a structural disadvantage. Lambda 1-Click Cluster reservations guarantee capacity but require sales engagement and minimum 2-week terms.

On-Demand Cloud pricing breakdown

Lambda On-Demand Cloud publishes per-GPU-hour rates for 10 GPU SKUs with explicit instance configurations.

Verified July 2026 (lambda.ai/instances):

• Quadro RTX 6000 (24 GB, 14 vCPUs, 46 GiB RAM, 512 GiB SSD): $0.69/GPU-hr — legacy visualization card
• Tesla V100 (16 GB, 88 vCPUs, 448 GiB RAM, 5.8 TiB SSD): $0.79/GPU-hr
• RTX A6000 (48 GB, 14 vCPUs, 100 GiB RAM, 512 GiB SSD): $1.09/GPU-hr
• A10 (24 GB, 30 vCPUs, 226 GiB RAM, 1.3 TiB SSD): $1.29/GPU-hr
• A100 PCIe 40GB (40 GB, 30 vCPUs, 225 GiB RAM, 512 GiB SSD): $1.99/GPU-hr
• A100 SXM 80GB (80 GB, 240 vCPUs, 1.8 TB RAM, 19.5 TiB SSD): $2.79/GPU-hr on 8x
• GH200 (96 GB, 64 vCPUs, 432 GiB RAM, 4 TiB SSD): $2.29/GPU-hr
• H100 PCIe 1x (80 GB, 26 vCPUs, 225 GiB RAM, 1 TiB SSD): $3.29/GPU-hr
• H100 SXM 1x (80 GB, 26 vCPUs, 450 GiB RAM, 5.5 TiB SSD): $4.29/GPU-hr
• B200 SXM6 8x (180 GB, 208 vCPUs, 2.9 TB RAM, 22 TiB SSD): $6.69/GPU-hr
• B200 SXM6 1x (180 GB, 26 vCPUs, 360 GiB RAM, 2.75 TiB SSD): $6.99/GPU-hr

Lambda's B300-class hardware is not yet listed on the On-Demand Cloud card (the homepage mentions GB300, B300, B200, H200 infrastructure for larger deployments, but self-serve pricing is still pending). For B300 access the path is 1-Click Cluster reservation or sales engagement.

1-Click Cluster reserved pricing

Lambda 1-Click Cluster reservations unlock 30-40% off equivalent on-demand rates — and guarantee capacity for the reservation window.

Verified July 2026 (lambda.ai/pricing):

• HGX H100 16-GPU: $6.16/GPU-hr (2-week to 1-year)
• HGX H100 64-GPU: $5.85/GPU-hr
• HGX H100 256-GPU: $5.54/GPU-hr
• HGX B200 16-GPU: $9.86/GPU-hr
• HGX B200 64-GPU: $9.36/GPU-hr
• HGX B200 256+ GPU: $8.87/GPU-hr
• 1-year+ reservation (both H100 and B200): Custom — Talk to our team

1-Click Clusters are invoiced on separate terms from On-Demand Cloud — weekly increments under reservation terms, with explicit GPU count and duration negotiated at approval. The 256+ tier delivers 32% off the on-demand 8x H100 rate ($3.99/GPU-hr x 1.55x volume multiplier); the 16-GPU reservation tier delivers 54% off on-demand because Lambda amortizes the deployment cost across a fixed GPU count.

Storage, snapshot, and inter-region transfer are billed separately. There is no free egress fee on Lambda regardless of tier — a meaningful differentiator versus hyperscalers ($0.087-$0.12/GB on AWS/GCP/Azure).

How Lambda bills: per-minute, no setup fees, no hidden charges

Lambda's billing model is one of the cleanest in the GPU cloud market.

On-Demand Cloud instances bill by the minute in 1-minute increments, starting after launch and health checks and ending at termination. Running instances accrue charges whether or not they are actively used — so shutting down idle instances saves real money. There is no setup fee. There are no commitment minimums on On-Demand Cloud (1-Click Clusters require 2-week minimum).

Storage is metered separately and billed per GB-month for attached volumes. Snapshot fees apply for stored images. Inter-region transfer is metered by the GB. Egress to the internet is free. Lambda publishes its full billing structure on docs.lambda.ai and surfaces the line items on the dashboard — no surprise charges.

Side-by-side Lambda vs RunPod vs CoreWeave pricing

How to choose between Lambda's pricing tiers in 2026

The decision hinges on workload duration, scale, and capacity urgency.

1. Short experiments (hours to a few days): Lambda On-Demand Cloud. Per-minute billing, transparent card, instant setup. H100 PCIe at $3.29/GPU-hr is the right starting point.
2. Multi-week fine-tuning runs: Lambda On-Demand Cloud. Pay only for what you use; shut down idle instances. For workloads that benefit from NVLink, use H100 SXM 8x at $3.99/GPU-hr.
3. Multi-month training (4+ GPUs, 4+ weeks): Lambda 1-Click Cluster reservation. $6.16/GPU-hr at 16-GPU down to $5.54 at 256-GPU scale delivers 25-50% off on-demand equivalent. Requires sales engagement and 2-week minimum.
4. Frontier Blackwell capacity: Lambda 1-Click Cluster HGX B200 reservation. $9.86/GPU-hr at 16-GPU down to $8.87 at 256-GPU scale. On-demand B200 is available at $6.69/GPU-hr 8x for short jobs.
5. Edge AI / inference / production serving: Lambda On-Demand Cloud. Run inference workloads on H100 PCIe or A100 PCIe. Per-minute billing keeps the bill tied to active serving.

What enterprise buyers should do next

Three actions for organizations evaluating Lambda in 2026.

1. Get a quote on 1-Click Cluster reservation before committing to On-Demand Cloud for a long job. The published 16-GPU HGX H100 reserved rate of $6.16/GPU-hr is a floor — sales-quoted contracts for 1-year terms typically deliver additional 10-20% off for committed volume. The 256+ GPU tier at $5.54/GPU-hr is the headline floor; sales can sometimes do better.
2. Model capacity waitlists into your timeline. Lambda's H100 SXM capacity is intermittent in 2026. For workloads with hard deadlines, plan to wait 1-3 weeks for capacity, or reserve capacity in advance via 1-Click Cluster.
3. Take advantage of free egress. For data-intensive workloads (training on 10+ TB datasets), Lambda's no-egress policy saves $870-$1,200/month versus AWS on the same workload. Lambda + S3-compatible storage is a meaningful TCO advantage.

What to watch next

Three near-term datapoints. First, Lambda's B300-class pricing — the homepage highlights GB300, B300, B200, H200 infrastructure but the On-Demand Cloud card has not yet listed B300 rates. Expect B300 on-demand at $7.89/GPU-hr or higher by Q4 2026. Second, NVIDIA Vera Rubin production ramps at Lambda's partner hyperscalers (CoreWeave, Google, Azure, OCI, Nebius) will relieve Hopper demand pressure; Lambda's H100 rates likely hold through Q1 2027 before easing. Third, Lambda's pricing for H200 on On-Demand Cloud — currently 'not listed' for H200 on the Lambda card; expect $5.50-$6.50/GPU-hr range when listed (lambda.ai/pricing, July 2026).