Neu.ro
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Seldon
Available NowBest for Large enterprises utilizing Kubernetes who need advanced rollout strategies, strict monitoring, and high-availability AI serving.
Seldon provides a massive, enterprise-grade ML deployment and monitoring platform that sits natively on Kubernetes. Designed for organizations handling massive, complex inference workloads (such as banking fraud detection or algorithmic trading), Seldon Core orchestrates the underlying GPU infrastructure to create advanced deployment patterns like Canary rollouts, A/B testing, and shadow deployments. It is the definitive infrastructure choice for enterprises where model failure or latency is unacceptable.
Pros & Cons
Pros
- Native integration with heavy Kubernetes environments
- Advanced A/B testing and shadow deployment capabilities
- Enterprise-grade model monitoring and explainability
Cons
- High learning curve requires dedicated Kubernetes expertise
- Overkill for simple API endpoints
Ideal Use Cases
Canary DeploymentsEnterprise InferenceKubernetes MLOps
| GPU Models | Kubernetes Orchestrated Compute |
| GPU Types | Kubernetes Orchestrated Compute |
| Headquarters | London, UK |
| Founded | 2014 |
| Availability | Available Now |
| Website | seldon.io ↗ |
$1.00/ hour (starting)—$6.00/ 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 (Cloud Agnostic)
Starting from
$1.00/hr
Up to $6.00/hr
Frequently Asked Questions
Seldon GPU cloud pricing starts from $1.00/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.
Seldon offers Kubernetes Orchestrated Compute GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Seldon operates data centers in Global (Cloud Agnostic). 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 Seldon and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Seldon 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.
Explore More Options
By Region & GPU
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