#30 in AI Development PlatformsUpdated 2026-08

Beam

by Beam · Serverless GPUs and sandboxes for inference, task queues and agents

51.8 — BenchRank score out of 100

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Overview

Beam runs AI workloads — inference endpoints, task queues and sandboxes — on serverless GPUs, defined in Python with decorators such as @endpoint and @task_queue rather than YAML or Dockerfiles. Memory snapshots restore GPU containers for sub-second cold starts. Workloads can run on Beam's own cloud across 30+ regions, or on your AWS, GCP or Azure account for a flat management fee.

Best for: Teams running GPU inference, sandboxes or task queues from Python without managing infrastructure
Pricing: Usage-based compute billed by the millisecond (serverless RTX 4090 from $0.69/hr, on-demand H100 machines from $1.74/hr, sandboxes from $0.319/hr) on top of an $89/month Team plan that includes $30 of credit.
Runs on: Self-hosted

Strengths and trade-offs

Strengths

Per-second billing; no charge for container spin-up or image load
Runs on Beam's cloud or your own AWS, GCP or Azure account
Hardware set in Python — one line to switch GPU type
No egress or bandwidth fees; storage included up to 1 TB

Trade-offs

$89/month Team plan sits on top of all compute usage charges
Published plan caps GPU concurrency at 50 containers and logs at 30 days
Only three seats included; extra seats are $25 each per month
Cluster and committed-spend pricing require a sales call

Pricing

Published plans from Beam’s own pricing page, in USD. Usage charges and add-ons may apply on top.

Beam pricing tiers, monthly rates in USD
Plan	Monthly	Includes
Team	$89per month, plus usage	$30 monthly credits; unlimited apps, storage volumes and API requests 50 GPU containers and 1,000 CPU containers concurrency 3 seats included, $25 per additional seat; 30-day log retention SOC 2 and HIPAA listed; community, live chat and private Slack support
Clusters	Contact sales	Multi-node H100, H200, B200 or B300 nodes with InfiniBand Reserved monthly or yearly, price on request Connects to the same SDK as serverless and BYOC workloads

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

MCP support: 0 out of 100
API quality: 15 out of 100
Documentation: 60 out of 100
Agent friendliness: 80 out of 100
Pricing transparency: 100 out of 100
Changelog: 100 out of 100
Marketing site structure: 60 out of 100
Operational trust: 60 out of 100

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

Openness: 65 out of 100
Maintenance: 100 out of 100

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