Anyscale

Name: Anyscale GPU Cloud
Brand: Anyscale
Availability: InStock
Rating: 9.0 (175 reviews)

🤖 Managed Inference

Distributed Computing, Ray workload scaling, LLM hosting

🏢 San Francisco, CA, USA📅 Since 2019★ 9.0/10🌐 Website ↗

Avg Latency

~20ms

Rate Limits

1,200 RPM

Free Tier

✓ Available

API Protocol

OpenAI-compatible API

Powered by Ray

Anyscale Endpoints is a managed inference service built by the original creators of Ray, the open-source distributed computing framework that OpenAI uses to train ChatGPT. Because Anyscale has absolute mastery over the underlying Ray architecture, their inference endpoints offer extreme reliability and auto-scaling capabilities under massive concurrent loads. When enterprise applications spike from 10 to 10,000 requests a second, Anyscale’s infrastructure handles the scaling seamlessly.

Cost-Effective Open Source

Anyscale specifically targets enterprises looking to migrate away from expensive proprietary models like GPT-4. By offering an OpenAI-compatible API, they provide a frictionless off-ramp. They host heavily optimized versions of Llama 3 and Mixtral, offering inference at significantly lower price points per million tokens compared to closed-source alternatives, without sacrificing latency.

The Fine-Tuning Pipeline

Anyscale differentiates itself through its tight integration between inference and training. Enterprises can easily submit proprietary JSONL datasets to Anyscale’s fine-tuning service. Once the custom model is trained, it is automatically deployed to a dedicated, serverless endpoint, allowing companies to transition from data to a production-ready custom LLM in hours rather than weeks.

Supported Workloads

LLMFine-Tuning

Pros & Cons

Pros

Built by the creators of Ray (industry-standard framework)
Massive scalability for concurrent requests
Seamless fine-tuning integration

Cons

Smaller model catalog than Together AI
Focus is mostly on enterprise B2B

Served Models

Llama 3, Mixtral, CodeLlama

Data Privacy Policy

SOC 2 Type II, Private VPC available

OpenAI-compatible API

Drop-in replacement for OpenAI. Change one line of code — point your base URL to Anyscale's endpoint instead of api.openai.com. All existing OpenAI SDKs (Python, Node.js) and libraries like LangChain or LlamaIndex will work out of the box.

Quick Start Snippet

Python

from openai import OpenAI
# Initialize the client pointing to Anyscale
client = OpenAI(
 api_key='YOUR_API_KEY',
 base_url='https://www.anyscale.com/v1'
)
# Run inference
response = client.chat.completions.create(
 model='your-chosen-model',
 messages=[{'role': 'user', 'content': 'Hello, world!'}]
)

View Official Documentation →

Website

Visit Official Site ↗

Billing Model

Per-token billing

You pay purely based on input and output tokens. The most cost-effective and predictable model for LLM inference.

Generous Free Tier Available

Start building without a credit card. Perfect for prototyping and testing the API before scaling into production workloads.

View Official Pricing Schedule →

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