Baseten

Managed model deployments on dedicated autoscaling GPU replicas.

Provider: default
Kind: ML inference
Category: Compute
Official docs: https://docs.baseten.co/deployment/autoscaling

Properties · 4 set by this component

property	type	values	required	kind default	this component
accelerator	enum	none \| gpu \| asic	no	none	▸ gpu
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
autoscalingWindowSeconds · component property	integer	—	no	60	inherited
concurrencyTarget · component property	integer	—	no	1	inherited
embeddingSyncMinutes · advanced	integer	—	no	—	inherited
inputs	enum	live \| historical \| both	no	live	▸ live
instances	integer	—	no	—	inherited
managed	boolean	—	no	false	▸ true
maxReplicas · component property	integer	—	no	1	inherited
minReplicas · component property	integer	—	no	0	inherited
scaleDownDelaySeconds · component property	integer	—	no	900	inherited
snapshotToObjectStore · advanced	boolean	—	no	false	inherited
training	enum	batch \| online	no	batch	▸ batch

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: "baseten", component: "baseten" }

Other ML inference products · 37

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Source

1# yaml-language-server: $schema=../../schema/component.schema.json
2# Baseten: managed platform that deploys models (packaged with Truss) on dedicated autoscaling GPU replicas.
3# Per "Autoscaling", a deployment starts at 0 minimum and 1 maximum replica, averages load over a 60-second window,
4# targets 1 concurrent request per replica at 70% utilisation and waits 900 seconds before scaling down.
5schemaVersion: "1"
6type: "component"
7id: "baseten"
8kind: "ml-inference"
9provider: "default"
10docs: "https://docs.baseten.co/deployment/autoscaling"
11defaults:
12  training: "batch"
13  inputs: "live"
14  accelerator: "gpu"
15  managed: true
16properties:
17  minReplicas:
18    type: "integer"
19    default: 0
20  maxReplicas:
21    type: "integer"
22    default: 1
23  concurrencyTarget:
24    type: "integer"
25    default: 1
26  autoscalingWindowSeconds:
27    type: "integer"
28    default: 60
29  scaleDownDelaySeconds:
30    type: "integer"
31    default: 900

The same page as markdown, for an agent: /catalogue/components/baseten.md