Softwr

AI · head to head

Lambda Labs vs Proxmox VE

Lambda Labs logo

Lambda Labs

AI

GPU cloud for deep learning

From
$1.1/per-hour
Free plan
No
Full reviewWebsite
Proxmox VE logo

Proxmox VE

Cloud

Open-source hypervisor combining KVM and LXC virtualisation

From
€120/year
Free plan
No
Full reviewWebsite

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; Proxmox VE per-socket licensing model: cost scales with CPU socket count, not vCore count, resulting in high costs for multi-socket servers
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Lambda Labs and Proxmox VE actually diverge.

Attributes where Lambda Labs and Proxmox VE differ
AttributeLambda LabsProxmox VE
Starting price$1.1/per-hour€120/year
Pricing modelusage-basedsubscription
PlatformsCloudLinux, Web, API, Self-hosted
CategoryAICloud
Founded2012Unknown

Identical on both: free tier (No), user rating (Not yet rated).

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
  • Persistent storage
  • SSH access
  • JupyterLab
  • VSCode
  • SSH
  • Cloud support

Only in Proxmox VE

Nothing recorded that Lambda Labs does not also cover.

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 Proxmox VE
  • Short term access to high memory accelerators without buying hardwarenot Proxmox VE

Proxmox VE

  • Open-source datacenter virtualisation for hosting providers and cloud platformsnot Lambda Labs
  • Cost-sensitive enterprise virtualisation replacing commercial hypervisorsnot Lambda Labs
  • High-availability clustering for disaster recovery and business continuitynot Lambda Labs
  • Container deployments using LXC as lighter-weight alternative to Dockernot Lambda Labs
  • Hybrid VM and container workloads in a single management interfacenot Lambda Labs
  • Backup and archival infrastructure alongside primary virtualisationnot 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

Proxmox VE

  • Per-socket licensing model: cost scales with CPU socket count, not vCore count, resulting in high costs for multi-socket servers
  • Linux-based host only; Windows hypervisors not supported, limiting adoption in Windows-focused organisations
  • Clustering and high-availability setup requires operational expertise and careful network configuration
  • Commercial support tiers limit advanced features (just-in-time access, network flow logs) to paid subscriptions
  • Smaller ecosystem of third-party plugins and integrations compared to VMware vSphere

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

Proxmox VE

€120/year
  • Community$120/year
    • Enterprise Repository access
    • Community forum support only
    • Per-socket subscription model
  • Basic$370/year
    • 3 support tickets per year
    • 1 business day response time
    • Stable updates and Enterprise Repository
  • Standard$550/year
    • 10 support tickets per year
    • 4-hour response time for critical issues
    • Remote SSH support and offline updates
  • Premium$1100/year
    • Unlimited support tickets
    • 2-hour response time for critical issues
    • Remote SSH support and offline updates

Which should you pick?

Choose Lambda Labs if

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

Choose Proxmox VE if

  • You work on Linux, Web, API, Self-hosted.
Proxmox VE review

Questions people ask

Is Lambda Labs or Proxmox VE better?
Neither clearly leads. Lambda Labs starts at $1.1/per-hour and Proxmox VE at €120/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Lambda Labs or Proxmox VE?
Lambda Labs starts at $1.1/per-hour and Proxmox VE at €120/year.
Does Lambda Labs or Proxmox VE run on more platforms?
Lambda Labs runs on Cloud. Proxmox VE runs on Linux, Web, API, Self-hosted.
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 Proxmox VE is typically brought in for.
What can Lambda Labs do that Proxmox VE cannot?
Lambda Labs covers NVIDIA GPUs, Pre-installed frameworks, Persistent storage, SSH access.

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
Proxmox VE: What is the licensing model for Proxmox VE?

Proxmox VE is open-source and free to deploy. Optional subscription tiers provide technical support, priority response times, and access to the Enterprise Repository for stable update channels. All tiers include identical virtualisation features.

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
Proxmox VE: Can I run Proxmox VE without a support subscription?

Yes. Community Edition (€120/year per socket) provides Enterprise Repository access with community-based support through forums. The core Proxmox VE platform is fully functional without any subscription.

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
Proxmox VE: What hypervisors does Proxmox VE support?

Proxmox VE includes both KVM for full virtualisation and LXC for Linux containers. It does not support Xen or Hyper-V. Workloads on those platforms must be migrated or reimplemented.

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
Share

Related pages

More on Lambda Labs

More on Proxmox VE

Keep looking

Other head to heads