Sold by: Anyscale
Deployed on AWS
Anyscale-creators of Ray-delivers an AI-native compute platform that accelerates development and enables scalable deployment of any AI workload. The platform provides a unified runtime that can distribute any Python code or AI library, including XGBoost, PyTorch, and vLLM, making it seamless to scale data processing, training or inference from a single machine to thousands of CPUs, GPUs, or both.
4.2
Overview
Anyscale provides teams with an AI-native compute platform, one that is Python-based, multimodal-ready and GPU optimized. Powered by Ray, the leading framework for scalable AI processing, Anyscale enables teams to build and deploy AI without limits.
Anyscale gives AI teams a production-ready platform that accelerates time to value, reduces TCO, and de-risks operating an internal AI development and deployment platform that supports both traditional machine learning and modern AI workloads.
Teams can get started quickly with our fully managed, Anyscale-hosted experience-or deploy into the customer VPC (virtual private cloud) via BYOC (bring your own cloud), with the flexibility to run on VM-based infrastructure (EC2) or Kubernetes environments (AWS EKS and SageMaker HyperPod).
Highlights
- Unified AI Platform: Accelerate development and reduce time to production with scalable processing for all your AI workloads with the Anyscale Runtime, a performance and reliability optimized engine powered by Ray.
- Developer Velocity: Develop on a multi-node backed IDE and seamlessly transition from dev to prod with self-service clusters for batch and online processing, without any cluster management.
- Deployment Flexibility: Run fully managed clusters on Anyscale compute or your own compute-in your VPC-whether that is using AWS EKS, SageMaker HyperPod or directly on EC2.
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Anyscale Contract | Aggregate of all Anyscale contract usage in U.S. Dollars e.g. Platform usage, Support, Advisory, Training, etc. | $1,000.00 |
Platform + Support (Express Private Offer) | Aggregate of Anyscale contract usage (Platform Usage and Support) in U.S. Dollars. Each unit purchased is $1,000 USD. Additionally, $1,000 USD of the monthly purchase will be applied towards the purchase of Developer Support as described here: https://www.anyscale.com/support. | $1,000.00 |
Platform + Support (Express PO) | Aggregate of Anyscale contract usage (Platform Usage and Support) in U.S. Dollars. Each unit purchased is $1,000 USD. Additionally, $1,000 USD of the monthly purchase will be applied towards the purchase of Developer Support as described here: https://www.anyscale.com/support. | $1,000.00 |
Dimension | Cost/unit |
|---|---|
Aggregate of all Anyscale contract usage in U.S. Dollars | $0.01 |
Vendor refund policy
All fees are non-refundable and non-cancellable except as required by law.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
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Delivery details
Software as a Service (SaaS)
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Support
Vendor support
Support offerings are listed at http://anyscale.com/support . Unless you contract for support via a Private Offer, your support is limited to public forums and documentation
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Anyscale
By Lightning AI
By Iguazio
Top
10
In High Performance Computing
Top
25
In ML Solutions
Top
10
In Feature Engineering, ML Solutions
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Distributed Computing Runtime
Unified runtime powered by Ray that distributes Python code and AI libraries across thousands of CPUs, GPUs, or both for scalable processing
Multi-Framework Support
Support for distributed execution of XGBoost, PyTorch, vLLM, and other AI libraries within a single platform
Flexible Deployment Options
Deployment capability across fully managed Anyscale-hosted infrastructure, customer VPC via BYOC, VM-based infrastructure on EC2, and Kubernetes environments including AWS EKS and SageMaker HyperPod
GPU Optimization
GPU-optimized compute platform designed for accelerated AI workload processing
Multi-Node Development Environment
Multi-node backed IDE with self-service cluster provisioning for batch and online processing without manual cluster management
Multi-Node Distributed Training
Supports multi-node training capabilities enabling scalable AI model training across multiple machines with on-demand compute resources including A100 and H100 GPUs.
Integrated Development Environment
Provides unified platform integrating data preparation, model development, distributed training, and application deployment within a single cohesive interface.
Pre-built Model Templates
Includes pre-built studios from expert contributors and PyTorch ecosystem optimized for state-of-the-art AI applications including LLMs, Diffusion models, and Graph Neural Networks.
Enterprise Security and Isolation
Offers enterprise-grade security features including Bring Your Own Cloud (BYOC) capability, fine-grained access control, and private networking to ensure data remains within customer accounts.
Serverless Deployment
Supports serverless deployment options enabling application deployment without infrastructure management overhead.
Automated Deployment and Scaling
Full automation and auto-scaling capabilities for moving AI projects from proof-of-concept to production environments
Model Fine-tuning Capabilities
Support for responsible model customization using RAG (Retrieval-Augmented Generation) and RAFT techniques to improve model accuracy and performance
GPU Resource Optimization
Dynamic GPU resource provisioning with scaling capabilities to optimize resource utilization across different deployment environments
Governance and Monitoring
Built-in governance frameworks, guardrails and monitoring systems for managing ML and GenAI applications in production
Multi-environment Deployment
Support for deploying workloads across multiple environments including AWS GovCloud, on-premises and hybrid infrastructure configurations
Standard contract
No
No
Customer reviews
reviewer2788458
Fraud prevention has improved and security strengthens while monitoring and CI workflows still need work
Reviewed on Dec 16, 2025
Review from a verified AWS customer
What is our primary use case?
In my field, which is a FinTech company, Anyscale Platform is mainly used for security purposes, protecting data and everything by applying all the basic features from the platform.
For us, we are mainly using Anyscale Platform with VS Code development for providing services for production deployment from my end, as per my role.
We mainly do coding with Anyscale Platform, but if you dig deeper, as I mentioned, we are a FinTech company, so we work daily to prevent fraud. The entire integration with the platform helps us address this, along with faster service provision and risk assessment using Anyscale services.
What is most valuable?
Anyscale Platform provides top features including AI and ML workflows which are reliable and scalable, along with management capabilities. The integration with services like AWS and GCP is beneficial, and we also have a built-in monitor.
The monitoring feature of Anyscale Platform, particularly the metrics dashboard, stands out because it shows GPU memory usage and visualizations that simplify our experience with the entire dashboard along with a well-prepared debugging and logging system.
Since adopting Anyscale Platform, we have observed a drastic improvement in overall security, and it is cost-efficient. The performance and productivity boost have led to a reduction in the number of people needed for operations, and scalability has also improved significantly.
What needs improvement?
Anyscale Platform sometimes lags and there is no response, which happens rarely but is noted. Additionally, a built-in CI/CD integration could be a useful addition.
That was just a suggestion from my end regarding CI/CD integration since we have been using it differently, but I cannot add more than that.
The overall performance and boost from Anyscale Platform is amazing, but I still see some improvement points, which is why I chose that score.
For how long have I used the solution?
I have been using Anyscale Platform for more than over a year.
What do I think about the stability of the solution?
Anyscale Platform is stable.
What do I think about the scalability of the solution?
The scalability of Anyscale Platform is good.
How are customer service and support?
Customer support is outstanding, as the support team is always available whenever we need to reach out or raise a ticket, and they assist us effectively.
I rate the customer support a ten out of ten.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I did not previously use a different solution.
How was the initial setup?
The entire process with pricing, setup cost, and licensing was smooth, with the costing sheet metrics provided and approval received, which seemed reasonable.
What was our ROI?
I do not really receive reports on exact numbers or budget saved, but if four people used to work on a particular task, that has reduced to one due to Anyscale Platform, allowing others to focus on different tasks.
I mentioned previously that we reduced the number of people needed for certain tasks from four to one, which signifies fewer people, less money saved, and time saved, although I do not have the entire metrics available.
What's my experience with pricing, setup cost, and licensing?
The entire process with pricing, setup cost, and licensing was smooth, with the costing sheet metrics provided and approval received, which seemed reasonable.
Which other solutions did I evaluate?
The other options were evaluated, but Anyscale Platform seemed the best choice.
What other advice do I have?
I advise others looking into using Anyscale Platform to consider its scalability and the services provided, which are all on point. I provided a review rating of seven out of ten.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Rakshit A.
Great tool for scaling AI workloads
Reviewed on Nov 19, 2025
Review provided by G2
What do you like best about the product?
What impresses me most is how it handles the heavy lifting for Ray. I can develop my AI application code right on my laptop and then deploy it to a large cluster without having to rewrite anything or wrestle with complex infrastructure setups. This effectively bridges the gap between code that only "works on my machine" and a real production environment, which is particularly useful when scaling LLM workloads and managing distributed training. In the end, it saves me a considerable amount of time on DevOps tasks.
What do you dislike about the product?
The pricing structure can feel somewhat unclear, making it difficult at times to anticipate your final monthly bill. This is especially noticeable when compared to the more straightforward cost management you get with handling raw EC2 instances on your own.
What problems is the product solving and how is that benefiting you?
I use Anyscale mainly to overcome the infrastructure challenges of scaling Python machine learning code from my local laptop to a large distributed cluster. My team operates a substantial Retrieval-Augmented Generation (RAG) pipeline, which includes OCR processing and embedding generation for millions of PDF files. Previously, running this workload on a single large EC2 instance would take weeks, and managing AWS Batch jobs involved a lot of boilerplate and ongoing DevOps work. With Anyscale, we were able to wrap our existing Python functions with Ray decorators, enabling the platform to automatically spin up a cluster of over 50 spot instances, process 2TB of data in less than four hours, and then scale back down to zero. This approach has reduced our compute costs by about 60% by taking advantage of spot instances without the need for manual fault-tolerance solutions, and it has allowed my data scientists to independently run large-scale experiments without waiting for DevOps to provision resources.
Mohammad hanif A.
AI/ML
Reviewed on Sep 11, 2025
Review provided by G2
What do you like best about the product?
Anyscale makes it easy to scale AI/ML workloads without worrying about infrastructure complexity
What do you dislike about the product?
Documentation could be more beginner-friendly with clearer end-to-end examples
What problems is the product solving and how is that benefiting you?
solves the challenge of scaling machine learning and AI workloads without requiring deep expertise in distributed systems. eg remove complexity
Subrat M.
Scalable and reliable platform for AI workloads
Reviewed on Aug 25, 2025
Review provided by G2
What do you like best about the product?
Anyscale simplifies the process of moving AI and ML workloads from development to production. Since it is built on Ray, it enables scalability without requiring major code changes.
What do you dislike about the product?
The platform has a noticeable learning curve, particularly for teams unfamiliar with Ray concepts. Pricing is not always transparent, which makes cost planning more challenging.
What problems is the product solving and how is that benefiting you?
Anyscale addresses the challenge of running distributed ML and GenAI workloads efficiently.
Akanksha R.
Good
Reviewed on Aug 19, 2025
Review provided by G2
What do you like best about the product?
The Anyscale platform was essential as it fully managed, production-ready version of Ray, offering a simplified and integrated developer experience and it made easy to build and it has good scalability.
What do you dislike about the product?
About the disadvantage is during building there is little trouble when debugging trouble.
What problems is the product solving and how is that benefiting you?
I solved the scalability and robustness problems as it was easier to solve.