Lambda (Lambda Labs)
Cloud-based AI supercomputers for large-scale model training and inference
- Also known as
- lambda-lambda-labs
Available worldwide · Popular in: US
What is Lambda (Lambda Labs)?
Lambda provides managed GPU computing infrastructure and dedicated supercomputer clusters for training and deploying large-scale AI models. The platform offers single-tenant clusters with exclusive hardware access, support for NVIDIA's latest GPUs, and end-to-end operational management to eliminate infrastructure burden.
What Lambda (Lambda Labs) does
The capabilities that matter for gpu cloud, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Deployment model
- Managed k8s
- Interconnect
- -
- Max cluster scale
- Rack scale
- Kubernetes support
- -
- Slurm support
- -
- Spot preemptible pricing
- -
- Per second billing
- -
- Reserved capacity contracts
- ✓
- Amd GPU support
- ✗
- SOC2
- ✓
- Multi region
- ✓
- Pricing model
- Quote only
Platform & deployment
Independently observed- Web
- Cloud / SaaS
Lambda (Lambda Labs) alternatives
Other gpu cloud we track, ranked by the same independent score.
- Voltage Parklow · 33%
- Vast.aiRent GPUs on-demand from a network of independent providers at variable market rateslow · 33%
- PaperspaceCloud computing platform offering GPU acceleration for building and running AI and ML models with per-second billingmedium · 62%
- DataCrunchFull-stack cloud infrastructure for the complete AI development lifecyclemedium · 64%
- RunPodA cloud computing platform designed for AI and ML workloads, allowing developers to experiment, train, fine-tune, and deploy models on shared GPU infrastructuremedium · 60%
- TensorWaveAMD Instinct GPU cloud for AI training and inferencelow · 21%
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Lambda (Lambda Labs), not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Security posture | 45 | 0.07 | 3.3 | ✓ |
| Capabilities | 58 | 0.05 | 2.8 | ✓ |
| Price level | 0 | 0.05 | 0.0 | - |
| Reliability | 0 | 0.07 | 0.0 | - |
| Integrations | 0 | 0.04 | 0.0 | - |
| Pricing transparency | 0 | 0.08 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Soc2: Yes · Multi region: Yes · Pricing model: quote-only · Amd gpu support: No · Deployment model: managed-k8s · Max cluster scale: rack-scale | mediumsource · 2026-08-25 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-25 · 75% |
Pricing
| Attribute | Value | Evidence |
|---|---|---|
| Model | commercial | mediumsource · 2026-08-17 · 60% |