Baseten

🤖 Managed Inference

Scale-to-zero Inference, Custom Model Serving, Low-Latency APIs

🏢 San Francisco, CA, USA📅 Since 2019★ 8.9/10🌐 Website ↗
Avg Latency
Varies by deployment
Rate Limits
Unlimited (Dedicated Hardware)
Free Tier
API Protocol
Custom SDK / Client

The Enterprise Model Hosting Platform

Baseten is not a standard per-token API provider; it is a specialized MLOps platform for companies that want to own their model infrastructure without managing Kubernetes. Baseten utilizes an open-source framework called Truss, which allows data scientists to package any machine learning model (from a 70B LLM to a custom Python scikit-learn script) into a standardized Docker container that deploys to Baseten’s infrastructure in seconds.

Scale-to-Zero Economics

One of Baseten’s massive advantages for startups is its rapid scale-to-zero capability. When a deployed model receives no traffic, Baseten spins down the underlying GPU, meaning the customer pays nothing. When a request hits the endpoint, Baseten’s highly optimized cold-start mechanisms boot the model incredibly fast, ensuring that companies only pay for compute when their application is actively generating revenue.

Enterprise Security and VPCs

Baseten targets high-compliance industries like healthcare and fintech. They are SOC 2 Type II and HIPAA compliant, and for ultimate security, they offer deployments within a customer’s own Virtual Private Cloud (VPC). This means sensitive patient or financial data never leaves the corporate firewall, while the data science team still benefits from Baseten’s managed auto-scaling and monitoring dashboards.

Supported Workloads

LLMVisionAudioCustom Architectures

Pros & Cons

Pros
  • Truss framework simplifies model packaging
  • Scale-to-zero capabilities save massive costs
  • Incredible enterprise support and white-glove onboarding
Cons
  • Not a simple pay-per-token API (requires deploying instances)
  • Steeper learning curve for hobbyists

Served Models

Bring Your Own Model (BYOM), Whisper, SDXL, Llama 3

Data Privacy Policy

SOC 2 Type II, HIPAA, Private VPC

Custom SDK / Client

Custom Integration. This provider requires their own specific SDKs or libraries to interact with the models. See official documentation.

Quick Start Snippet
Python
import requests
headers = {
 'Authorization': 'Bearer YOUR_API_KEY',
 'Content-Type': 'application/json'
}
data = {
 'model': 'your-chosen-model',
 'prompt': 'Hello, world!'
}
response = requests.post('https://baseten.co/v1/completions', headers=headers, json=data)
WebsiteVisit Official Site ↗
Billing Model
Per-second billing

You are charged exclusively for the duration the GPU is actively processing your request. Excellent for bursty workloads.

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Baseten
🤖 Managed Inference
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