Beam

Serverless GPU endpoints, task queues and functions on the open-source beta9 runtime.

Provider: default
Kind: ML inference
Category: Compute
Official docs: https://docs.beam.cloud/v2/endpoint/overview
Also known as: Beam Cloud, beta9

Properties · 3 set by this component

property	type	values	required	kind default	this component
accelerator	enum	none \| gpu \| asic	no	none	inherited
acceleratorModel · advanced	enum	nvidia-h100 \| nvidia-h200 \| nvidia-b200 \| nvidia-l4 \| nvidia-a100 \| amd-mi300x \| aws-trainium \| aws-inferentia \| google-tpu \| intel-gaudi \| groq-lpu \| cerebras-wse	no	—	inherited
embeddingSyncMinutes · advanced	integer	—	no	—	inherited
inputs	enum	live \| historical \| both	no	live	▸ live
instances	integer	—	no	—	inherited
keepWarmSeconds · component property	integer	—	no	180	inherited
managed	boolean	—	no	false	▸ true
snapshotToObjectStore · advanced	boolean	—	no	false	inherited
training	enum	batch \| online	no	batch	▸ batch
workload · component property	enum	endpoint \| task-queue \| function	no	endpoint	inherited

Rules that apply · 1

Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.

Stateful node without zone redundancyerror

stateful-node-without-zone-redundancy

A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.

— all of these hold:
— the node's `stateless` is false
— the node sits inside exactly 1 availability-zone group
— this does not hold:
— the node sits inside at least one cell group

Use it in a design

nodes:
  - { id: "beam-cloud", component: "beam-cloud" }

Other ML inference products · 37

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Source

1# yaml-language-server: $schema=../../schema/component.schema.json
2# Beam: serverless GPU platform (built on the open-source beta9 runtime) for endpoints, task queues and functions,
3# invoked with a bearer auth token. Per "Endpoints", a container spins down after 180 seconds of inactivity by default
4# (keep_warm_seconds) and an endpoint call must finish within 180 seconds; longer work goes to a task queue.
5schemaVersion: "1"
6type: "component"
7id: "beam-cloud"
8kind: "ml-inference"
9provider: "default"
10docs: "https://docs.beam.cloud/v2/endpoint/overview"
11aliases: ["Beam Cloud", "beta9"]
12defaults:
13  training: "batch"
14  inputs: "live"
15  managed: true
16properties:
17  workload:
18    type: "enum"
19    values: ["endpoint", "task-queue", "function"]
20    default: "endpoint"
21  keepWarmSeconds:
22    type: "integer"
23    default: 180

The same page as markdown, for an agent: /catalogue/components/beam-cloud.md