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Vast.ai vs Beam Cloud

A detailed comparison to help you choose between Vast.ai and Beam Cloud.

Quick Verdict

3.7/5

Vast.ai

0 reviews

3.6/5

Beam Cloud

0 reviews

Vast.ai is rated higher (3.7 vs 3.6). P2P GPU marketplace connecting researchers and developers with spare compute capacity. Offers rented GPUs at lower rates than centralized cloud providers, ideal for ML training, rendering, and batch processing. Beam Cloud provides serverless GPU and CPU compute for AI model serving and data pipelines. Scale to zero when not running. Python SDK for easy integration. Pay only for compute used.

Vast.ai

Vast.ai

Rent GPUs from individuals for 2-10x cheaper compute

Beam Cloud

Beam Cloud

Serverless GPU infrastructure with per-second billing and instant scaling

Overview
Rating3.7 (0 reviews)✓3.6 (0 reviews)
Pricing modelusage-basedfreemium
Starting priceFrom $0.03/moFree tier available✓
Best forML researchers, rendering studios, and budget-conscious teams running checkpointable training, fine-tune, and batch workloads who are willing to vet hosts themselvesTeams shipping AI inference, agent sandboxes, and spiky GPU workloads who want per-second pricing and the option to self-host or run on their own cloud credits.
Features
IPv6
DDoS protection
Automated backups
Snapshots✓
Managed option
Bare metal
GPU available
S3-compatible
Hourly billing
Free tier✓
Data-center locations
Regions
Global — distributed hosts
—
Tags
Tags
hourly billinggpu availableeu datacenterus datacenterapac datacenter
free tiergpu availableus datacenterapi access
Visit Vast.ai →Visit Beam Cloud →

Vast.ai

Pros

  • + Cheapest public GPU-hour rates anywhere; per-second billing with no minimum charge
  • + Always-on capacity across 81 GPU types and hosts in 52 countries — no 'capacity coming soon'
  • + Interruptible bidding and reserved discounts give real pricing levers per workload
  • + Dense, useful search filters: reliability score, DLPerf, network speed, host tier
  • + SOC 2 Type II and HIPAA attestations at the platform level, per third-party comparisons

Cons

  • - No SLA, no owned datacenters, and no recourse when an independent host disappears
  • - Host variance is real: measured ±11.7% throughput spread on identical H100 SXM specs
  • - Storage bills continue on stopped instances; bandwidth is host-set and can be expensive
  • - Interruptible preemption risk demands checkpointing discipline
  • - Verification and reliability-score formulas are only partially disclosed
View full Vast.aireview →

Beam Cloud

Pros

  • + Aggressive GPU pricing: H100 PCIE from $1.83/hr on-demand, RTX 4090 serverless at $0.000192/sec
  • + Free Developer tier with $30 compute credits every month and no mandatory production subscription
  • + Open-source beta9 runtime (AGPL-3.0) with self-host and BYOC on AWS/GCP/Azure
  • + Millisecond billing with scale-to-zero; sandboxes with GPU support and GPU checkpoint restore
  • + Published per-second and per-hour rates with a transparent cost calculator

Cons

  • - No published uptime SLA; young company with a small team behind it
  • - Multiple billing units (per-second, per-hour, per-core-second, management fees) make comparison hard
  • - Cold-start figures are vendor claims; uncached large images and weight downloads are slower
  • - Managed fleet's regional footprint is not published; BYOC assumes you already run a cloud account
  • - Container platform, not a VPS — no bare-metal root or kernel-level control on the serverless line
View full Beam Cloudreview →

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