AI · head to head
Lambda Labs vs Wasabi
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; Wasabi 90-day minimum storage duration with no option to delete before full period without penalty
- They diverge on capability: Lambda Labs covers NVIDIA GPUs, Wasabi covers Hot Cloud Storage.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Lambda Labs and Wasabi actually diverge.
| Attribute | Lambda Labs | Wasabi |
|---|---|---|
| Starting price | $1.1/per-hour | $7.99/month |
| Pricing model | usage-based | Unknown |
| Platforms | Cloud | Web, API |
| Category | AI | Cloud |
| Founded | 2012 | 2015 |
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 Wasabi
- Hot Cloud Storage
- S3 Compatible API
- Object Lock
- Versioning
- Multi-region
- Data Migration Tools
- Immutability
- Ransomware Protection
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 Wasabi
- Short term access to high memory accelerators without buying hardwarenot Wasabi
Wasabi
- Backup and recoverynot Lambda Labs
- Media storagenot Lambda Labs
- Archive replacementnot Lambda Labs
- Ransomware protectionnot 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
Wasabi
- 90-day minimum storage duration with no option to delete before full period without penalty
- Significantly smaller global footprint than AWS with only 16 regions, resulting in higher latency for users in underserved regions
- Performance can degrade with high-volume transactions requiring throughput management strategies
- Hot storage only, no cold/archival storage tier for long-term data at lower cost
- Support responsiveness gaps with teams experiencing multi-day waits for critical issue resolution
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
Wasabi
$7.99/monthNo published plan breakdown. See the Wasabi review.
Which should you pick?
Choose Lambda Labs if
- You need nvidia gpus.
- You work on Cloud.
- You also want pre-installed frameworks.
Choose Wasabi if
- You need hot cloud storage.
- You work on Web, API.
- You also want s3 compatible api.
Questions people ask
- Is Lambda Labs or Wasabi better?
- Neither clearly leads. Lambda Labs starts at $1.1/per-hour and Wasabi at $7.99/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Lambda Labs or Wasabi?
- Lambda Labs starts at $1.1/per-hour and Wasabi at $7.99/month.
- Does Lambda Labs or Wasabi run on more platforms?
- Lambda Labs runs on Cloud. Wasabi runs on Web, 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 Wasabi is typically brought in for.
- What can Lambda Labs do that Wasabi cannot?
- Lambda Labs covers NVIDIA GPUs, Pre-installed frameworks, Persistent storage, SSH access. Wasabi covers Hot Cloud Storage, S3 Compatible API, Object Lock, Versioning.
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.
SourceWasabi: What is Wasabi's pricing structure?
Wasabi offers pay-as-you-go pricing at $7.99 per TB per month as of July 2026, with no egress or API request fees. Reserved capacity plans are available for multi-year terms with volume discounts.
SourceLambda 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).
SourceWasabi: Does Wasabi charge for data downloads or API calls?
No. Wasabi includes zero egress fees and zero API request fees, which is a major cost advantage over AWS S3. Customers can plan their budget to the penny without worrying about surprise data transfer charges.
SourceLambda 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.
SourceWasabi: Is there a minimum storage duration requirement?
Yes. Wasabi enforces a 90-day minimum storage term. Users who delete data before 90 days are still charged for the full 90-day period.
SourceLambda 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.
SourceWasabi: Is Wasabi S3-compatible?
Yes. Wasabi Hot Cloud Storage is fully S3-compatible, meaning organizations can integrate it into existing workflows without rewriting application code used with AWS S3.
Related pages
More on Lambda Labs
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