Quick Answer
Last verified:
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Lambda costs $0.69 to $6.99 per GPU/hour as of May 2026, with 4 plans available. The median contract is $300/year based on 61 verified purchases.

Use the interactive pricing calculator to estimate your exact cost based on team size and requirements.

  • Free tier: No free tier available

Lambda offers 4 pricing tiers: 1x GPU On-Demand, 8x GPU On-Demand, 1-Click Clusters, Reserved. The 8x GPU On-Demand plan is large-scale training and multi-gpu inference.

Compared to other ai/gpu cloud compute software, Lambda is positioned at the budget-friendly price point.

  • Median contract: $300/yr from 61 purchases
  • 4 documented hidden costs beyond list price

How much does Lambda cost?

Lambda pricing starts at $0.69/GPU/hour across 4 plans, with enterprise pricing available on request. Plans include 1x GPU On-Demand (custom pricing), 8x GPU On-Demand (custom pricing), 1-Click Clusters (custom pricing), Reserved (custom pricing).

Lambda Pricing Overview

Lambda has 4 pricing plans ranging from $0.69 to $6.99/GPU/hour. The 1x GPU On-Demand plan requires contacting sales for a custom quote and is designed for development, fine-tuning, and small inference jobs. The 8x GPU On-Demand plan requires contacting sales for a custom quote and is designed for large-scale training and multi-gpu inference. The 1-Click Clusters plan requires contacting sales for a custom quote and is designed for large-scale distributed training. The Reserved plan requires contacting sales for a custom quote and is designed for predictable long-term gpu workloads.

Lambda with a 1 year for Reserved tier minimum commitment.

The median Lambda customer pays $300/year based on 61 verified purchases.

There are at least 4 documented hidden costs beyond Lambda's list price, including implementation, training, and add-on fees.

This pricing was last verified in April 24, 2026.

Lambda (formerly Lambda Labs) offers on-demand GPU cloud computing priced per GPU per hour, starting from $0.69/GPU/hour for a Quadro RTX 6000 up to $6.69/GPU/hour for a B200 SXM6 in an 8-GPU configuration. Single H100 SXM instances start at $4.29/GPU/hour, while 8-GPU H100 clusters cost $3.99/GPU/hour. Reserved capacity at 1–3 year commitments offers additional discounts.

How Lambda Pricing Compares

Compare Lambda pricing against top alternatives in AI/GPU Cloud Compute.

All Lambda Plans & Pricing

Plan Monthly Annual Best For
View all features by plan (compare side-by-side)

1x GPU On-Demand

  • Single GPU instances
  • H100 SXM at $4.29/hr
  • A100 80GB at $1.99/hr
  • A10 at $1.29/hr
  • GH200 at $2.29/hr
  • RTX 6000 at $1.09/hr
  • Quadro RTX 6000 at $0.69/hr

8x GPU On-Demand

  • 8-GPU clusters
  • B200 SXM6 at $6.69/GPU/hr
  • H100 SXM at $3.99/GPU/hr
  • A100 SXM 80GB at $2.79/GPU/hr
  • A100 SXM 40GB at $1.99/GPU/hr

1-Click Clusters

  • 16 to 2,000+ GPUs
  • HGX B200 at $4.62/GPU/hr on-demand
  • H100 at $2.76/GPU/hr on-demand
  • InfiniBand networking

Reserved

  • 1-3 year commitments
  • Discounted rates vs on-demand
  • Guaranteed capacity
Compare Lambda with alternativesAdjust seats, lock a tier, add up to 2 more products side-by-side. Shareable URL.

Compare Lambda vs Alternatives

Before committing to Lambda, compare pricing with these 3 alternatives in the same category.

All Lambda alternatives & migration guides

What Companies Actually Pay for Lambda

The median Lambda buyer pays $300/year based on 61 verified purchase transactions.

What companies actually pay $300/yr Median across 61 community cost mentions
Review scores
Top pricing complaints
Long boot times — on-demand instances can take 20+ minutes to become availableOnly preconfigured VM images with limited environment flexibilityDirectly attached storage creates significant friction when switching GPU configurationsH100 nodes only available as 8x configurations, no smaller options for lighter workloads
Source: Community cost mentions (Reddit, Hacker News) — aggregated from 61 distinct user reports. Indicative only — not contract-grade data.

Lambda Year 1 Total Cost by Company Size

Real deployment costs including licenses, implementation, training, and admin — not just the sticker price.

Large Model Pre-Training — 256-Node A100 Cluster (21 Days) $1,548,288 Year 1 total
based on 2023 community-reported hourly rate, pre-Reserved pricing
Total $1,548,288

Replicating a large 65B parameter LLM pre-training run using 256 eight-GPU A100 machines over 21 days. This is a compute-only lower-bound estimate from 2023 community-reported pricing; actual current pricing via the Reserved or 1-Click Clusters tier will differ.

HN (causalmodels, 2023-02-24)

How Lambda Pricing Compares

Software Starting Price Top Price
Lambda $0.69/GPU/hour $6.99/GPU/hour
CoreWeave $10/instance/hour $68.8/instance/hour
Hyperbolic $0.3/GPU/hour $3.2/GPU/hour
Modal Free $250/GPU/hour
Paperspace Free $39/GPU/hour
RunPod $0.34/GPU/hour $3.49/GPU/hour

4 Lambda Hidden Costs Beyond the List Price

Beyond the listed price, Lambda has at least 4 documented hidden costs that can significantly increase total cost of ownership.

Watch for 4 hidden costs
  • Long Instance Boot Times 5-15% of license costs
    medium 1 source
    Hacker News "Lambda is pretty slow to boot, and considerably more annoying to work with (e.g. they only offer preconfigured VMs, so you'll need to do some kind of management on top of them). They offer H100s for $2."
  • Manual Data Migration Between GPU Configurations 5-10% of license costs
    medium 1 source
    Hacker News "it seems like the machines come with directly attached storage. So, if you're using an 8x V100 and want to switch to a 1x RTX 6000, you'd have to spin up a new server and manually migrate your data over."
  • Distributed Training Cluster Management Overhead 20-40% of compute costs in engineering time
    high 1 source
    Hacker News "I'm going to assume you know how to stand up and manage a distributed training cluster as a simplifying assumption. Note this is an aggressive assumption."
  • Forced Over-Provisioning Due to Limited GPU Configuration Sizes 10-30% of compute costs
    medium 1 source
    Hacker News "they only offer 8xH100 nodes, though: nothing smaller"
Tip

Ask your Lambda sales rep about these costs upfront. Getting them in writing before signing can save you from surprise charges later.

Full hidden costs breakdown →

Intelligence sourced from 1 independent sources
Hacker News Tech community
Key claims include inline source attribution. Data verified against multiple independent sources. 9 source citations total.

Lambda Contract Terms

Lambda contracts do not auto-renew. Changes require advance notice. These terms are sourced from verified buyer experiences.

Contract Terms
Auto-Renewal No
Minimum Commitment 1 year for Reserved tier
Mid-Term Downgrade Not allowed
Payment Terms On-demand instances billed hourly with no commitment; Reserved instances require annual commitment
Price Escalation No published schedule; on-demand pricing has been observed to change over time
Note

Switching between GPU configurations requires manual data migration due to directly attached storage architecture

Based on 1 verified source

How to Negotiate Lambda Pricing

Lambda contracts are negotiable. These 3 tactics are sourced from real buyer experiences and procurement specialists.

Negotiation Playbook 3 tactics
Commit to Reserved Pricing for Sustained Workloads high success

Lambda Labs offers lower hourly rates for 1-year reserved commitments versus on-demand. If your team has predictable, sustained GPU utilization for training or inference, negotiating a reserved commitment before your project begins is the most reliable way to reduce costs.

HN (reissbaker, 2024-09-12)
Negotiate Bulk Pricing for Large Cluster Training Runs medium success

For large-scale training runs requiring hundreds of GPUs over weeks, Lambda Labs may offer custom bulk pricing. Come prepared with your expected GPU-hours, cluster size, and duration — the more concrete your commitment, the more leverage you have.

HN (causalmodels, 2023-02-24)
Use Competitor Quotes as Leverage medium success

Lambda Labs has historically adjusted pricing in response to competitors such as Runpod and TensorDock. Obtain current quotes for the same GPU SKU from competing providers and present them during negotiation. Lambda has been noted to price-match or beat competitors on certain configurations.

HN (reissbaker, 2024-09-12; jonathanlei, 2022-07-28)

Full negotiation guide →

Lambda Pricing FAQ

01 How much does Lambda GPU cloud cost?

Lambda GPU cloud pricing ranges from $0.69/GPU/hour (Quadro RTX 6000) to $6.99/GPU/hour for high-end single-GPU instances. Popular options include H100 SXM at $3.99–4.29/GPU/hr and A100 80GB at $1.99–2.79/GPU/hr depending on cluster size. Reserved capacity offers discounts for 1–3 year commitments.

02 What GPUs does Lambda offer?

Lambda offers NVIDIA B200 SXM6, H100 SXM, GH200, A100 SXM (80GB and 40GB), A10, A6000, RTX 6000, and Quadro RTX 6000. Configurations range from single GPU instances to 1-Click Clusters with 16 to 2,000+ GPUs.

03 How does Lambda compare to AWS for GPU pricing?

Lambda typically offers lower per-GPU hourly rates than AWS for equivalent hardware. Lambda's H100 SXM starts at $3.99/GPU/hr in 8-GPU configs, while AWS p5 instances with H100s cost significantly more. Lambda focuses exclusively on GPU compute without the broader cloud ecosystem overhead.

04 Does Lambda have reserved GPU pricing?

Yes, Lambda offers Reserved GPU instances on 1–3 year commitments at discounted rates compared to on-demand pricing. Guaranteed capacity is included with reservations.

05 What is Lambda 1-Click Clusters?

Lambda's 1-Click Clusters let you spin up 16 to 2,000+ GPU clusters for large-scale distributed training. The HGX B200 cluster is priced at $4.62/GPU/hr on-demand, and H100 clusters start at $2.76/GPU/hr on-demand, with InfiniBand networking included.

06 Does Lambda Labs offer any discounts for longer commitments?

Yes. Lambda Labs offers a Reserved tier with lower hourly rates in exchange for a 1-year commitment. On-demand instances (1x GPU On-Demand and 8x GPU On-Demand) are available without a commitment at higher per-hour rates. All pricing is custom-quoted — contact Lambda Labs for current rates.

07 What are the biggest operational limitations of Lambda Labs?

Key limitations noted in community sources include: long boot times for on-demand instances (20+ minutes reported), only preconfigured VM images with limited flexibility, directly attached storage that requires manual data migration when switching GPU configurations, and H100 nodes available only as 8x GPU configurations with no smaller options.

08 Does Lambda Labs have a free tier or trial?

No free tier or free trial is documented in available sources. All compute tiers — 1x GPU On-Demand, 8x GPU On-Demand, 1-Click Clusters, and Reserved — are billed on a paid basis.

Is this pricing incorrect? — we'll verify and update it.