Gcore
Best for Global AI Deployment, High-Performance Compute, Edge Inference
from$1.00/ hr★ 9.1/10
Algorithmia
Available NowBest for Large IT organizations needing a structured, highly governed infrastructure to deploy thousands of internal ML models as microservices.
Algorithmia (now part of DataRobot) remains a historically significant and powerful platform for enterprise ML deployment. It acts as an infrastructure abstraction layer designed to serve thousands of distinct machine learning models simultaneously. By treating models as microservices, Algorithmia automatically scales underlying GPU compute based on API requests, handling the complex routing, security, and versioning required by massive IT organizations. It is the backbone for many legacy enterprise ML transitions into the modern cloud era.
Pros & Cons
Pros
- Excellent model versioning and IT governance
- Treats models as highly scalable microservices
- Seamless integration into broader DataRobot ecosystems
Cons
- Brand is transitioning post-acquisition
- Heavily skewed towards massive enterprise contracts
Ideal Use Cases
Enterprise ML DeploymentLegacy IT IntegrationModel Microservices
| GPU Models | Managed Orchestrated Compute |
| GPU Types | Managed Orchestrated Compute |
| Headquarters | Seattle, WA |
| Founded | 2013 |
| Availability | Available Now |
| Website | algorithmia.com ↗ |
$1.50/ hour (starting)—$7.00/ 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 →
Global
Starting from
$1.50/hr
Up to $7.00/hr
Frequently Asked Questions
Algorithmia GPU cloud pricing starts from $1.50/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.
Algorithmia offers Managed Orchestrated Compute GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Algorithmia operates data centers in Global. 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 Algorithmia and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Algorithmia 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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