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Cloud · head to head

Beam Cloud vs Vultr

Beam Cloud logo

Beam Cloud

Cloud

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

From
Free
Rated
-
Full reviewWebsite
Vultr logo

Vultr

Cloud

High performance cloud compute

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Beam Cloud free tier limited to $30 monthly credits with 5 GPU containers; Vultr vultr Cloud Compute pricing as captured 31 December 2022 started at $5/month (1 vCPU, 1GB RAM, 25GB storage, 1TB transfer), scaling to $10/month and $20/month with more vCPU/RAM/storage; bandwidth overage billed at $0.01 to $0.05 per GB depending on plan
  • They diverge on capability: Beam Cloud covers Sub-second cold starts, Vultr covers Cloud servers.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Beam Cloud and Vultr differ
AttributeBeam CloudVultr
Pricing modelFreemium with pay-per-millisecond usage chargesusage-based
PlatformsCloud, PythonWeb, Api, Cli
FoundedUnknown2014

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Cloud).

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 Vultr

  • Cloud servers
  • Bare metal servers
  • Block storage
  • Object storage
  • Load balancers
  • Kubernetes
  • Firewalls
  • Private networks

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

Vultr

  • High performance computingnot Beam Cloud
  • Game serversnot Beam Cloud
  • Streamingnot Beam Cloud
  • Database hostingnot Beam Cloud
  • Application serversnot 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

Vultr

  • Vultr Cloud Compute pricing as captured 31 December 2022 started at $5/month (1 vCPU, 1GB RAM, 25GB storage, 1TB transfer), scaling to $10/month and $20/month with more vCPU/RAM/storage; bandwidth overage billed at $0.01 to $0.05 per GB depending on plan

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

Vultr

Free
  • Cloud Compute$2.5/month
    • 512MB RAM
    • 10GB SSD
    • 500GB bandwidth
  • Bare Metal$32/month
    • Dedicated hardware
    • High performance
    • Full root access

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 Vultr if

  • You need cloud servers.
  • You want to start without paying.
  • You work on Web, Api, Cli.
  • You also want bare metal servers.
Vultr review

Questions people ask

Is Beam Cloud or Vultr better?
Neither clearly leads. Beam Cloud starts at Free and Vultr at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Beam Cloud or Vultr?
Beam Cloud starts at Free and Vultr at Free.
Does Beam Cloud or Vultr run on more platforms?
Beam Cloud runs on Cloud, Python. Vultr runs on Web, Api, Cli.
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 Vultr is typically brought in for.
What can Beam Cloud do that Vultr cannot?
Beam Cloud covers Sub-second cold starts, Inference endpoints, Task queues, Sandboxes. Vultr covers Cloud servers, Bare metal servers, Block storage, Object storage.

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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