AI · head to head
Lambda Labs vs Terra

Terra
Research
Open biomedical research platform for genomic analysis, priced only by the cloud you consume
- From
- Free
- Rated
- -
The short version
- Only Terra has a free tier, so it costs nothing to try first.
- 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; Terra the absence of a licence fee hides the real cost driver: an idle notebook virtual machine left running overnight, or a workspace bucket full of intermediate workflow outputs, quietly consumes grant money with no vendor invoice to prompt a review.
- They diverge on capability: Lambda Labs covers NVIDIA GPUs, Terra covers No platform licence fee.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Lambda Labs and Terra actually diverge.
| Attribute | Lambda Labs | Terra |
|---|---|---|
| Starting price | $1.1/per-hour | Free |
| Pricing model | usage-based | Open source, no licence fee |
| Free tier | No | Yes |
| Platforms | Cloud | Web, Google Cloud, Microsoft Azure |
| Category | AI | Research |
| Founded | 2012 | Unknown |
Identical on both: 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 Terra
- No platform licence fee
- Cloud pass-through billing
- WDL workflow execution
- Notebook environments
- Controlled-access data
- Workspace sharing
- Compliance posture
- Multi-cloud
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 Terra
- Short term access to high memory accelerators without buying hardwarenot Terra
Terra
- A genomics lab running whole-genome alignment and variant calling pipelines without provisioning or maintaining a local clusternot Lambda Labs
- A consortium sharing controlled-access human data across institutions where the data cannot be copied to each sitenot Lambda Labs
- A health system analysing patient genomic data under a HIPAA business associate agreementnot Lambda Labs
- A federal or federally funded project needing FedRAMP Moderate authorisation for its analysis environmentnot 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
Terra
- The absence of a licence fee hides the real cost driver: an idle notebook virtual machine left running overnight, or a workspace bucket full of intermediate workflow outputs, quietly consumes grant money with no vendor invoice to prompt a review.
- Cost governance is entirely the customer responsibility, and grant-funded groups without a cloud engineer routinely overspend before anyone reads the Google or Azure bill in enough detail to find the cause.
- It assumes genuine bioinformatics competence: writing or adapting WDL workflows, managing data tables and debugging failed tasks are all on you, so a wet lab without computational staff cannot use it productively.
- Feature parity between the Google Cloud and Azure deployments is not identical, so a decision on cloud provider constrains which capabilities and datasets you can reach and is expensive to reverse later.
- It is a research platform rather than a regulated clinical system: it is not a validated GxP environment and does not carry the qualification package a diagnostic or submission workflow would require, so clinical use needs additional infrastructure and validation you provide yourself.
Pricing, plan by plan
Lambda Labs
$1.1/per-hour- On-Demand$1.1/per-hour
- A10 GPU
- Instant availability
- ReservedFree
- Volume discounts
- Guaranteed capacity
Terra
Free- Terra platformFree
- No charge for the platform, administration, security controls or frontline support
- Workspaces, workflow execution and notebook environments included
- Available on Google Cloud and Microsoft Azure
- Cloud consumption$undefined/month
- Google Cloud or Azure charges passed through at cost with no markup
- Running notebook virtual machines around 0.22 USD per hour, roughly 0.027 USD per hour when paused
- Storage billed continuously on workspace buckets and intermediate workflow outputs
Which should you pick?
Choose Lambda Labs if
- You need nvidia gpus.
- You work on Cloud.
- You also want pre-installed frameworks.
Choose Terra if
- You need no platform licence fee.
- You want to start without paying.
- You work on Web, Google Cloud, Microsoft Azure.
- You also want cloud pass-through billing.
Questions people ask
- Is Lambda Labs or Terra better?
- Neither clearly leads. Lambda Labs starts at $1.1/per-hour and Terra at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Lambda Labs or Terra?
- Terra has a free tier; the other does not. Paid plans start at $1.1/per-hour for Lambda Labs and Free for Terra.
- Does Lambda Labs or Terra run on more platforms?
- Lambda Labs runs on Cloud. Terra runs on Web, Google Cloud, Microsoft Azure.
- Can I use Terra for free?
- Yes. Terra has a free tier, so you can try it without paying. Lambda Labs starts at $1.1/per-hour.
- 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 Terra is typically brought in for.
- What can Lambda Labs do that Terra cannot?
- Lambda Labs covers NVIDIA GPUs, Pre-installed frameworks, Persistent storage, SSH access. Terra covers No platform licence fee, Cloud pass-through billing, WDL workflow execution, Notebook environments.
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.
SourceTerra: Is Terra really free?
The platform is. There is no licence fee. Everything you pay is Google Cloud or Azure compute, storage and egress, passed through at cost.
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).
SourceTerra: What actually drives the bill?
Running virtual machines and stored data. Pausing notebooks drops a virtual machine from about 0.22 to about 0.027 dollars an hour, and deleting intermediate workflow outputs is the other main saving.
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.
SourceTerra: Can I use it with protected health information?
Yes. Terra signs HIPAA business associate agreements and GDPR data processing agreements, and the Azure deployment holds FedRAMP Moderate authorisation.
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.
SourceTerra: Is it validated for clinical or GxP use?
No. It is a research platform. Regulated clinical or submission workflows need validation and controls you build yourself.
Related pages
More on Lambda Labs
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