Ray

Ray

Anyscale
Tinker

Tinker

Thinking Machines Lab
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+

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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

Tinker is a training API designed for researchers and developers that allows full control over model fine-tuning while abstracting away the infrastructure complexity. It supports primitives and enables users to build custom training loops, supervision logic, and reinforcement learning flows. It currently supports LoRA fine-tuning on open-weight models across both LLama and Qwen families, ranging from small models to large mixture-of-experts architectures. Users write Python code to handle data, loss functions, and algorithmic logic; Tinker handles scheduling, resource allocation, distributed training, and failure recovery behind the scenes. The service lets users download model weights at different checkpoints and doesn’t force them to manage the compute environment. Tinker is delivered as a managed offering; training jobs run on Thinking Machines’ internal GPU infrastructure, freeing users from cluster orchestration.

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 researchers and ML engineers requiring a solution to experiment with fine-tuning open source language models while outsourcing infrastructure complexity

Support

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

Support

Phone Support Not Supported
24/7 Live Support Not 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

No information available.
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 Not Supported
In Person Not Supported

Company Information

Anyscale
Founded: 2019
United States
ray.io

Company Information

Thinking Machines Lab
United States
thinkingmachines.ai/tinker/

Alternatives

Alternatives

Inkling

Inkling

Thinking Machines Lab

Categories

Deep Learning Supported
Machine Learning Supported

Categories

Integrations

Python Supported
Amazon EKS Supported
Amazon SageMaker Supported
Amazon Web Services (AWS) Supported
Azure Kubernetes Service (AKS) Supported
Dask Supported
Feast Supported
Flyte Supported
Google Kubernetes Engine (GKE) Supported
Inkling Not Supported
LanceDB Supported
Llama 3 Not Supported
Llama 3.1 Not Supported
MLflow Supported
PyTorch Supported
Qwen Not Supported
Snowflake Supported
TensorFlow Supported
Union Cloud Supported
io.net Supported

Integrations

Python Supported
Amazon EKS Not Supported
Amazon SageMaker Not Supported
Amazon Web Services (AWS) Not Supported
Azure Kubernetes Service (AKS) Not Supported
Dask Not Supported
Feast Not Supported
Flyte Not Supported
Google Kubernetes Engine (GKE) Not Supported
Inkling Supported
LanceDB Not Supported
Llama 3 Supported
Llama 3.1 Supported
MLflow Not Supported
PyTorch Not Supported
Qwen Supported
Snowflake Not Supported
TensorFlow Not Supported
Union Cloud Not Supported
io.net Not Supported
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