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Cloud · head to head

Beam Cloud vs Lambda Labs

Beam Cloud logo

Beam Cloud

Cloud

Serverless GPU computing with sub-second cold starts and multi-cloud support

From
Free
Rated
-
Full reviewWebsite
Lambda Labs logo

Lambda Labs

AI

GPU cloud for deep learning

From
$1.1/per-hour
Rated
-
Full reviewWebsite

The short version

  • Only Beam Cloud has a free tier, so it costs nothing to try first.
  • Each has a real cost: Beam Cloud free tier limited to $30 monthly credits with 5 GPU containers; Lambda Labs on demand capacity is first come access rather than guaranteed, so an instance type can be unavailable when needed
  • They diverge on capability: Beam Cloud covers Sub-second cold starts, Lambda Labs covers NVIDIA GPUs.

Where they differ

Only the attributes on which Beam Cloud and Lambda Labs actually diverge.

Attributes where Beam Cloud and Lambda Labs differ
AttributeBeam CloudLambda Labs
Starting priceFree$1.1/per-hour
Pricing modelFreemium with pay-per-millisecond usage chargesusage-based
Free tierYesNo
PlatformsCloud, PythonCloud
CategoryCloudAI
FoundedUnknown2012

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 Beam Cloud

  • Sub-second cold starts
  • Inference endpoints
  • Task queues
  • Sandboxes
  • Multi-cloud support
  • Python SDK
  • Global distribution
  • Massive parallelization

Only in Lambda Labs

  • NVIDIA GPUs
  • Pre-installed frameworks
  • Persistent storage
  • SSH access
  • JupyterLab
  • VSCode
  • SSH
  • Cloud support

What people use each for

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

Beam Cloud

  • Deploying ML models with minimal latency and setup timenot Lambda Labs
  • Large-scale batch processing across thousands of concurrent tasksnot Lambda Labs
  • Cost-effective inference serving with bursty workloadsnot Lambda Labs
  • Multi-cloud AI deployments with global low-latency accessnot Lambda Labs
  • Serverless AI development for rapid experimentationnot Lambda Labs

Lambda Labs

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

Where each one falls short

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

Beam Cloud

  • Free tier limited to $30 monthly credits with 5 GPU containers
  • Massive parallelization complexity may require DevOps expertise
  • Per-millisecond pricing model requires careful cost monitoring
  • Smaller team relative to established cloud providers

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

Pricing, plan by plan

Beam Cloud

Free
  • DeveloperFree
    • $30 monthly free credits
    • 5 GPU containers, 30 CPU containers
    • Community support
  • Team$89/month
    • $30 monthly free credits included
    • 50 GPU containers, 1,000 CPU containers
    • 3 seats included, $25 per additional
  • Growth$undefined/custom
    • 1,000+ GPU containers
    • Unlimited CPU containers
    • Unlimited seats
  • Serverless GPUs$undefined/per-millisecond
    • RTX 4090: $0.00019/sec

Lambda Labs

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

Which should you pick?

Choose Beam Cloud if

  • You need sub-second cold starts.
  • You want to start without paying.
  • You work on Cloud, Python.
  • You also want inference endpoints.
Beam Cloud review

Choose Lambda Labs if

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

Questions people ask

Is Beam Cloud or Lambda Labs better?
Neither clearly leads. Beam Cloud starts at Free and Lambda Labs at $1.1/per-hour, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Beam Cloud or Lambda Labs?
Beam Cloud has a free tier; the other does not. Paid plans start at Free for Beam Cloud and $1.1/per-hour for Lambda Labs.
Does Beam Cloud or Lambda Labs run on more platforms?
Beam Cloud runs on Cloud, Python. Lambda Labs runs on Cloud.
Can I use Beam Cloud for free?
Yes. Beam Cloud has a free tier, so you can try it without paying. Lambda Labs starts at $1.1/per-hour.
What is Beam Cloud best used for?
Beam Cloud is most often used for deploying ml models with minimal latency and setup time, large-scale batch processing across thousands of concurrent tasks, cost-effective inference serving with bursty workloads, multi-cloud ai deployments with global low-latency access. Of those, deploying ml models with minimal latency and setup time and large-scale batch processing across thousands of concurrent tasks are not what Lambda Labs is typically brought in for.
What can Beam Cloud do that Lambda Labs cannot?
Beam Cloud covers Sub-second cold starts, Inference endpoints, Task queues, Sandboxes. Lambda Labs covers NVIDIA GPUs, Pre-installed frameworks, Persistent storage, SSH access.

Answered from the vendors’ own pages

Beam Cloud: What is included in the Developer plan?

The Developer plan includes $30 monthly free credits, 5 GPU containers, 30 CPU containers, and community support. No upfront commitment is required.

Source
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
Beam Cloud: How fast are the cold starts?

Beam Cloud achieves sub-second cold starts through memory snapshots that restore GPU containers 35x faster than traditional cold boots.

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
Beam Cloud: Can I deploy across multiple cloud providers?

Yes, Beam Cloud supports multi-cloud deployment across AWS, GCP, Azure, Hetzner, and other providers with 30+ global regions available.

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
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
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