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Cloud · head to head

Beam Cloud vs Fig

Beam Cloud logo

Beam Cloud

Cloud

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

From
Free
Free plan
Yes
Full reviewWebsite
F

Fig

Developer Tools

IDE-style autocomplete for your existing terminal

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Beam Cloud free tier limited to $30 monthly credits with 5 GPU containers; Fig shut down on 1 September 2024. Amazon acquired Fig in August 2023 and folded it into Amazon Q Developer, which now carries the terminal autocomplete
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Beam Cloud and Fig actually diverge.

Attributes where Beam Cloud and Fig differ
AttributeBeam CloudFig
Pricing modelFreemium with pay-per-millisecond usage chargesfreemium
PlatformsCloud, PythonWeb
CategoryCloudDeveloper Tools
FoundedUnknown2020

Identical on both: starting price (Free), free tier (Yes), 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 Fig

Nothing recorded that Beam Cloud does not also cover.

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 Fig
  • Large-scale batch processing across thousands of concurrent tasksnot Fig
  • Cost-effective inference serving with bursty workloadsnot Fig
  • Multi-cloud AI deployments with global low-latency accessnot Fig
  • Serverless AI development for rapid experimentationnot Fig

Fig

No use cases recorded yet. See the Fig review.

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

Fig

  • Shut down on 1 September 2024. Amazon acquired Fig in August 2023 and folded it into Amazon Q Developer, which now carries the terminal autocomplete
  • The standalone desktop app is no longer available or supported
  • The completion specs remain open source on GitHub, but the product that consumed them is gone

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

Fig

Free

No published plan breakdown. See the Fig review.

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 Fig if

  • You want to start without paying.
Fig review

Questions people ask

Is Beam Cloud or Fig better?
Neither clearly leads. Beam Cloud starts at Free and Fig at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Beam Cloud or Fig?
Beam Cloud starts at Free and Fig at Free.
Does Beam Cloud or Fig run on more platforms?
Beam Cloud runs on Cloud, Python. Fig runs on Web.
Can I use Beam Cloud for free?
Both have a free tier, so you can try either at no cost before committing.
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 Fig is typically brought in for.
What can Beam Cloud do that Fig cannot?
Beam Cloud covers Sub-second cold starts, Inference endpoints, Task queues, Sandboxes.

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
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
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
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