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AI · head to head

Lambda Labs vs RunPod

Lambda Labs logo

Lambda Labs

AI

GPU cloud for deep learning

From
$1.1/per-hour
Rated
-
RunPod logo

RunPod

AI

GPU cloud for AI and ML

From
$0.2/per-hour
Rated
-

The short version

  • Each has a real cost: Lambda Labs on demand capacity is first come access rather than guaranteed, so an instance type can be unavailable when needed; RunPod idle volume disk storage is billed at $0.20 per GB per month, double the $0.10 per GB per month charged while the pod is running
  • They diverge on capability: Lambda Labs covers NVIDIA GPUs, RunPod covers GPU instances.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Lambda Labs and RunPod actually diverge.

Attributes where Lambda Labs and RunPod differ
AttributeLambda LabsRunPod
Starting price$1.1/per-hour$0.2/per-hour
PlatformsCloudCloud, Api
Founded20122022

Identical on both: pricing model (usage-based), free tier (No), user rating (Not yet rated), category (AI).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Lambda Labs

  • NVIDIA GPUs
  • Pre-installed frameworks
  • JupyterLab
  • VSCode
  • SSH

Only in RunPod

  • GPU instances
  • Serverless
  • Templates
  • Docker
  • REST API
  • Api support

Both cover

  • Persistent storage
  • SSH access
  • Cloud support

What people use each for

The jobs each tool is most often brought in to do.

Lambda Labs

  • Renting GPU instances for model training and inferencenot RunPod
  • Short term access to high memory accelerators without buying hardwarenot RunPod

RunPod

  • Renting GPU compute by the second for model training and inferencenot Lambda Labs
  • Running serverless GPU workers that scale with request volumenot Lambda Labs
  • Attaching persistent network storage shared across GPU podsnot Lambda Labs

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Lambda Labs

  • On demand capacity is first come access rather than guaranteed, so an instance type can be unavailable when needed
  • H100 pricing varies within a band, at $3.99 to $4.29 an hour per GPU, so the rate is not fixed
  • Reserved capacity is arranged by contacting the team rather than self serve
  • Prices are quoted before applicable tax

RunPod

  • Idle volume disk storage is billed at $0.20 per GB per month, double the $0.10 per GB per month charged while the pod is running
  • Reserved clusters of all terms from 1 to 12 months are priced by contacting sales with no published rate
  • L40S, H100 SXM and B200 cluster configurations are listed as contact sales rather than at a published hourly rate
  • High performance network storage costs $0.14 per GB per month, twice the standard sub 1TB rate of $0.07

Pricing, plan by plan

Lambda Labs

$1.1/per-hour
  • On-Demand$1.1/per-hour
    • A10 GPU
    • Instant availability
  • ReservedFree
    • Volume discounts
    • Guaranteed capacity

RunPod

$0.2/per-hour
  • Community Cloud$0.2/per-hour
    • Affordable GPUs
    • Spot instances
  • Secure Cloud$0.44/per-hour
    • Enterprise security
    • Dedicated hardware

Which should you pick?

Choose Lambda Labs if

  • You need nvidia gpus.
  • You work on Cloud.
  • You also want pre-installed frameworks.

Choose RunPod if

  • You need gpu instances.
  • You work on Cloud, Api.
  • You also want serverless.

Questions people ask

Is Lambda Labs or RunPod better?
Neither clearly leads. Lambda Labs starts at $1.1/per-hour and RunPod at $0.2/per-hour, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Lambda Labs or RunPod?
Lambda Labs starts at $1.1/per-hour and RunPod at $0.2/per-hour.
Does Lambda Labs or RunPod run on more platforms?
Lambda Labs runs on Cloud. RunPod runs on Cloud, Api.
What is Lambda Labs best used for?
Lambda Labs is most often used for renting gpu instances for model training and inference, short term access to high memory accelerators without buying hardware. Of those, renting gpu instances for model training and inference and short term access to high memory accelerators without buying hardware are not what RunPod is typically brought in for.
What can Lambda Labs do that RunPod cannot?
Lambda Labs covers NVIDIA GPUs, Pre-installed frameworks, JupyterLab, VSCode. RunPod covers GPU instances, Serverless, Templates, Docker. Both handle Persistent storage, SSH access, Cloud support.

Answered from the vendors’ own pages

Lambda Labs: What does Lambda Labs GPU pricing depend on?

Lambda Labs pricing depends on the GPU model (H100, B200, A100, V100, etc.), cluster size, and contract length. For example, a 16-GPU H100 cluster costs $6.16/GPU/hour for 2 weeks to 1 year, while A100 GPUs are $1.99-$2.79/GPU/hour.

Source
RunPod: What is the pricing model for Runpod GPU compute?

Runpod uses usage-based pricing billed per second rather than fixed subscriptions. GPU pod pricing ranges from $0.27/hour for budget options like RTX A5000 to $7.89/hour for high-end options like B300. Serverless inference is billed based on worker usage.

Source
Lambda Labs: Are there volume discounts for larger GPU clusters?

Yes. Pricing decreases with larger cluster orders. For example, NVIDIA H100 clusters cost $6.16/GPU/hour for 16 GPUs, $5.85/GPU/hour for 64 GPUs, and $5.54/GPU/hour for 256 GPUs (all for 2 weeks to 1 year terms).

Source
RunPod: Are there minimum contracts or commitments required to use Runpod?

No minimum contracts or commitments are required for on-demand services. Per-second billing is available, and you pay only for what you use. Long-term commitments offer additional savings through reserved capacity options.

Source
Lambda Labs: Can I get custom pricing for a long-term GPU contract?

Yes. For cluster orders of 16+ GPUs with 1-year or longer contracts, Lambda Labs offers custom pricing. Contact their sales team to request a quote.

Source
RunPod: What are the storage costs on Runpod?

Storage pricing is tiered: Container Disk costs $0.10/GB/month, Volume Disk costs $0.10/GB/month when running or $0.20/GB/month when idle, and Network Storage ranges from $0.05-$0.07/GB/month for standard to $0.14/GB/month for high-performance.

Source
Lambda Labs: What additional costs should I expect beyond the hourly GPU rate?

All listed prices are plus applicable sales tax, VAT, or GST depending on your location.

Source
RunPod: Does Runpod charge egress fees for data transfer?

No, Runpod does not charge egress fees when using persistent network storage, which helps reduce data transfer costs for workloads that need to move data in and out frequently.

Source
RunPod: How does Runpod Serverless handle cold starts and idle costs?

Runpod Serverless offers zero idle cost and sub-200ms cold starts via FlashBoot technology. There is no warm-up tax, meaning you don't pay for idle capacity or accept cold-start latency penalties.

Source
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