Ray

Ray

Anyscale
+
+

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About

Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.

About

distil labs optimizes AI workloads by replacing expensive frontier-model calls with custom small language models tuned to a specific task while maintaining the required quality bar. It observes real production traffic, captures traces from existing LLM requests, and automatically builds an evaluation set to understand how the workload actually behaves. It then generates and validates synthetic training data, matches the data distribution to the target workload, performs supervised fine-tuning and reinforcement learning, quantizes the model, and deploys an optimized endpoint. Results are automatically evaluated against the current model on accuracy, latency, and efficiency before teams choose to scale traffic. The resulting OpenAI-compatible endpoint combines a specialized SLM, prompt optimization, caching, and tuned serving for the use case.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

ML and AI Engineers, Software Developers

Audience

AI product, engineering, and machine learning teams in need of a tool to optimize production LLM workloads with task-specific small language models

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source. Consumption-based.
Free Version Supported
Free Trial Supported

Pricing

$0.04 per 1M tokens
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Anyscale
Founded: 2019
United States
ray.io

Company Information

distil labs
Founded: 2024
Germany
www.distillabs.ai/

Alternatives

Alternatives

Phi-4-reasoning

Phi-4-reasoning

Microsoft
Llama 2

Llama 2

Meta

Categories

Deep Learning Supported
Machine Learning Supported

Categories

Integrations

Amazon EC2 Trn2 Instances Supported
Amazon EKS Supported
Amazon SageMaker Supported
Amazon Web Services (AWS) Supported
Anyscale Supported
Apache Airflow Supported
Azure Kubernetes Service (AKS) Supported
Databricks Supported
Feast Supported
Flyte Supported
GPT-5.4 nano Not Supported
Gemini 2.0 Flash-Lite Not Supported
Google Cloud Platform Supported
LanceDB Supported
MLflow Supported
Python Supported
Snowflake Supported
TensorFlow Supported
Union Cloud Supported
io.net Supported

Integrations

Amazon EC2 Trn2 Instances Not Supported
Amazon EKS Not Supported
Amazon SageMaker Not Supported
Amazon Web Services (AWS) Not Supported
Anyscale Not Supported
Apache Airflow Not Supported
Azure Kubernetes Service (AKS) Not Supported
Databricks Not Supported
Feast Not Supported
Flyte Not Supported
GPT-5.4 nano Supported
Gemini 2.0 Flash-Lite Supported
Google Cloud Platform Not Supported
LanceDB Not Supported
MLflow Not Supported
Python Not Supported
Snowflake Not Supported
TensorFlow Not Supported
Union Cloud Not Supported
io.net Not Supported
Claim Ray and update features and information
Claim Ray and update features and information
Claim distil labs and update features and information
Claim distil labs and update features and information