TL;DR - Anyscale
- Anyscale is the enterprise platform for running Ray, the distributed computing framework, at scale
- It manages infrastructure for ML training, serving, and data processing workloads
- Custom pricing based on compute usage and support requirements
Pricing: Paid only
Best for: Enterprises & pros
4.3/5 across review platforms
Pros & Cons
Pros
- Ray-based platform
- Good for ML workloads
- Scalable compute
- Open source foundation
- Good for training
Cons
- Complex for simple use cases
- Learning curve
- Expensive at scale
- Enterprise focused
- Ray knowledge helpful
Ratings Across the Web
4.3(5 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
Distributed computingRay platformGPU clustersAuto-scalingBYOC deploymentKubernetes supportEnterprise SLAsAny cloud/regionOn-premise optionVolume discounts
Pricing Plans
Hosted
Free
- Pay-as-you-go
- $100 free credits to start
- Limited regions
- VMs only
- Anyscale-managed infra
- Business hours support
- 5 case submissions
BYOC
- Any cloud/region/on-prem
- VMs or Kubernetes
- Your VPC
- 24x7 enterprise SLAs
- Unlimited case submissions
- Volume discounts
About Anyscale
By Toolradar Team·
Anyscale is the Ray cloud platform for distributed computing and ML workloads. Scale Python applications from laptop to cluster with managed infrastructure.
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Anyscale FAQ
Is Anyscale free?
New users get $100 in free credits. Pricing is usage-based with pay-as-you-go compute.
What is BYOC?
Bring Your Own Cloud lets you run Anyscale in your VPC on any cloud, region, or on-premise with Kubernetes support.
What GPUs does Anyscale support?
Anyscale supports T4, L4, A10G, A100, H100, and H200 GPUs with per-hour pricing.
Does Anyscale offer enterprise SLAs?
Yes, 24x7 enterprise SLAs are available with BYOC deployment.
Source: anyscale.com