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Best for Bare Metal GPU, Low-Latency AI Inference, Global Edge AI Deployment
from$1.20/ hr★ 8.6/10
Anyscale
Available NowBest for Distributed Computing, Ray workload scaling, LLM hosting
About Anyscale
Anyscale is the commercial company backing the widely successful open-source Ray framework. They offer a unified platform for scaling AI and machine learning workloads globally, abstracting underlying infrastructure completely to provide a seamless playground for distributed, massive-scale computation.
Pros & Cons
Pros
- The absolute best platform for running distributed Ray applications
- Serverless architecture that scales infinitely
- Anyscale Endpoints offer highly optimized LLM inference
- Founded by the original creators of the Ray framework
Cons
- Platform is highly centered around the Ray ecosystem
- Price includes an abstraction markup over pure cloud compute
- Can have a steeper learning curve for teams not familiar with distributed systems
Ideal Use Cases
AI InferenceFine-TuningHPC
| GPU Models | H100, A100, A10G, T4 |
| GPU Types | A100, H100, t4 |
| Headquarters | San Francisco, CA, USA |
| Founded | 2019 |
| Availability | Available Now |
| Website | www.anyscale.com ↗ |
$0.50/ hour (starting)—$4.00/ hr (max)
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
US East
US West
Starting from
$0.50/hr
Up to $4.00/hr
Frequently Asked Questions
Anyscale GPU cloud pricing starts from $0.50/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
Anyscale offers H100, A100, A10G, T4 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Anyscale operates data centers in US East, US West. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to Anyscale and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Anyscale offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.
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