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SMC GPU Clusters

#19 of 59 in GPU Server Hosting

SMC GPU Clusters: Dedicated GPU clusters pair InfiniBand networking with Weka parallel storage. Ranked #19 of 59 in GPU Server Hosting by our editors (7.3/10); pricing: Pricing on request; best for managed GPU clusters with parallel storage.

7.3/10Editor score
SMC GPU Clusters7.3 Contact SMC

At a glance

  • Editor score
    7.3 / 10
  • Pricing
    Pricing on request
  • Best for
    Managed GPU clusters with parallel storage
  • Founded
    2018 · Singapore
  • Facts checked
    23 Sep 2026
  • Where it wins

    • H100, A100, L40S, and H200 cluster configurations
    • RDMA-enabled InfiniBand networking and Weka parallel NVMe storage
    • Burst or reserved models with managed migration and workload support
  • Where it doesn't

    • Pricing and billing terms are custom and sales-led
    • Reservations are described in multi-year terms
    • Dedicated GPU clusters may be more infrastructure than smaller workloads need

Our verdict on SMC GPU Clusters

SMC GPU Clusters provides cloud-based, dedicated NVIDIA GPU infrastructure for AI training, inference, and high-performance computing. Its H100, A100, L40S, and H200 configurations are aimed at organizations that need cluster-scale compute, including AI startups and scaleups, enterprises, government, education, application-platform developers, and cloud service providers. The combination of GPU capacity, cluster networking, and storage is especially relevant for workloads that move data across multiple nodes. It is a better fit for teams seeking managed cluster infrastructure than for buyers looking for a simple, self-serve GPU instance.

The architecture pairs RDMA-enabled InfiniBand networking with parallel NVMe file storage on the Weka platform. S3-compatible object storage and connectivity to other clouds provide additional storage and ecosystem options. NVIDIA is part of the stated GPU ecosystem, while Weka and S3-compatible storage are the named storage integrations. Managed migration and workload support are included, and the service lists 24/7 support. Buyers should assess how those support and migration services align with their own workloads and operational requirements; these features do not by themselves establish performance or reliability outcomes.

Commercial terms require a conversation with sales: pricing is contact-sales and billing terms are custom. Buyers can enquire about burst and reserved GPU service models, with reservations described in multi-year terms. That structure may suit organizations planning sustained cluster use or seeking burst capacity, but it offers less upfront price clarity than published, fixed plans. Choose SMC when dedicated NVIDIA cluster configurations, InfiniBand, and parallel storage are central requirements and managed assistance matters. Teams that need transparent rates or short, clearly priced commitments should compare alternatives before proceeding.

Your product? Our editors can test SMC GPU Clusters in depth and publish a review, labelled as paid · from $149/mo →

SMC GPU Clusters pricing

Plans Pricing on request No free plan — trial or paid only. Prices checked 23 Sep 2026.
See plans on smc.co

SMC GPU Clusters fact sheet

Free planNot verified
Paid fromNot verified
GPU countNot verified
GPU memoryNot verified
System RAMNot verified
Storage includedNot verified
GPU interconnectInfiniband
Billing termCustom
DeploymentCloud
PlatformsWeb
Built forSmall business, Mid-market, Enterprise (editorial estimate)
Integrations3 integrations: Weka, S3-compatible storage, NVIDIA
PricingPricing on request
Websitesmc.co
Facts checked23 Sep 2026

SMC GPU Clusters integrations

SMC GPU Clusters lists 3 integrations on its own site.

  • Weka
  • S3-compatible storage
  • NVIDIA

Alternatives to SMC GPU Clusters

See all SMC GPU Clusters alternatives →

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Featured on iTechGuides

Featured on iTechGuides — SMC GPU Clusters 7.3/10

SMC GPU Clusters is listed in our GPU Server Hosting directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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