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Anyscale | Scalable Compute for AI and Python

Anyscale | Scalable Compute for AI and Python

Anyscale is a comprehensive AI application platform designed for developing, deploying, and scaling advanced AI solutions efficiently.

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About Anyscale | Scalable Compute for AI and Python

Anyscale offers a leading AI application platform that empowers developers to build, deploy, and scale AI projects seamlessly. Leveraging the Ray distributed computing framework, it enhances performance, reduces costs, and simplifies AI workload management. The platform provides robust tools for compute governance, supports multiple cloud providers, and is compatible with various hardware accelerators, making it ideal for diverse AI development needs.

How to Use

Developers can utilize Ray's Python APIs within Anyscale to run AI workloads across GPUs and CPUs at any scale. The platform offers tools for optimizing performance, managing resources, and deploying AI models in cloud, on-premise, or hybrid environments. New users can start with a $100 credit and explore features through demos and expert support.

Features

RayTurbo: Enhanced Ray version for faster AI compute performance.
Compute Governance: Tools for managing and controlling AI resource usage.
Developer Tooling: Advanced tools designed to streamline AI development.
Flexible Deployment: Supports any cloud platform, hardware accelerator, and software stack.

Use Cases

Developing scalable AI applications with lasting impact.
Distributing machine learning workloads across GPUs and CPUs.
Parallel processing of numerous small to medium AI models.
Maximizing throughput to optimize costs efficiently.

Best For

AI platform developersData scientistsML engineersAI research teamsAI deployment specialistsMachine learning practitionersAI infrastructure managersAI application builders

Pros

Enables scalable distribution of large language model pipelines.
Reduces latency and enhances cost efficiency for AI workloads.
Accelerates training and deployment of AI models.
Supports deployment across cloud, on-premise, and hybrid infrastructures.

Cons

May require understanding of Ray and distributed computing concepts.
Pricing complexity varies based on usage and deployment choices.

Pricing Plans

Choose the perfect plan for your needs. All plans include 24/7 support and regular updates.

CPU Only

from $0.00006 per minute

Deploy in your preferred cloud environment

Get Started
Most Popular

NVIDIA T4

from $0.00246 per minute

Deploy in your cloud setup

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NVIDIA L4

from $0.00414 per minute

Deploy in your cloud environment

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NVIDIA A10G

from $0.00591 per minute

Deploy in your cloud infrastructure

Get Started

NVIDIA L40S

from $0.01089 per minute

Deploy in your cloud setup

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NVIDIA Tesla V100

from $0.01492 per minute

Deploy in your cloud environment

Get Started

NVIDIA A100 40GB

from $0.02149 per minute

Deploy in your cloud infrastructure

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NVIDIA A100 80GB

from $0.02941 per minute

Deploy in your cloud environment

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AWS Trainium1

from $0.00784 per minute

Deploy in your cloud setup

Get Started

AWS Inferentia2

from $0.00445 per minute

Deploy in your cloud environment

Get Started

CPU Only

from $0.00855 per minute

Deploy on Anyscale’s cloud platform

Get Started

NVIDIA T4

from $0.01643 per minute

Deploy on Anyscale’s cloud

Get Started

NVIDIA L4

from $0.01811 per minute

Deploy on Anyscale’s cloud platform

Get Started

NVIDIA A10G

from $0.02723 per minute

Deploy in Anyscale’s cloud environment

Get Started

NVIDIA Tesla V100

from $0.06646 per minute

Deploy on Anyscale’s cloud platform

Get Started

NVIDIA A100 80GB

from $0.11312 per minute

Deploy in Anyscale’s cloud environment

Get Started

Frequently Asked Questions

Find answers to common questions about Anyscale | Scalable Compute for AI and Python

How is my billing calculated?
Billing depends on resource usage and deployment options. Contact Anyscale for detailed pricing information.
Does Anyscale offer training for Ray and its platform?
Yes, training and support are available through collaboration with the Ray development team.
What support options are available?
Support includes technical assistance and guidance for deploying and optimizing AI workloads.
Are volume discounts available for large-scale deployments?
Yes, volume discounts are offered. Contact sales for custom pricing based on your usage.
Can I deploy Anyscale in hybrid cloud environments?
Yes, Anyscale supports deployment across cloud, on-premise, and hybrid infrastructures.