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Head-to-head · GPU Server Hosting

OVHcloud GPU Dedicated Server vs Scaleway Dedibox GPU

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side

OVHcloud GPU Dedicated Server leads on 0 checks, Scaleway Dedibox GPU on 2, and 1 is even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreOVHcloud GPU Dedicated Server · 9.1/10

OVHcloud GPU Dedicated Server scores higher on our rubric for gpu server hosting: 9.1 against 8.8 out of 10; our editors rank them #2 and #5.

Scaleway Dedibox GPU leads on system ram: 256 GB versus 192 GB. Scaleway Dedibox GPU leads on storage included: 7.68 TB versus 3.84 TB.

OVHcloud GPU Dedicated Server is the better fit for teams needing established dedicated GPU hardware. Scaleway Dedibox GPU is the better fit for long-term dedicated L40S or H100 capacity.

  • OVHcloud GPU Dedicated Server fits best

    Teams needing established dedicated GPU hardware

  • Scaleway Dedibox GPU fits best

    Long-term dedicated L40S or H100 capacity

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Side by side

Feature OVHcloud GPU Dedicated Server 9.1/10 Visit ↗ Scaleway Dedibox GPU 8.8/10 Visit ↗
At a glance
Editor score 9.1 8.8
Ranking #2 in GPU Server Hosting #5 in GPU Server Hosting
Best for Teams needing established dedicated GPU hardware Long-term dedicated L40S or H100 capacity
Pricing model Paid Paid
Starting price $1,145/mo —
Free plan — —
Free trial — —
Deployment Cloud Cloud
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Specs
GPU count Not checked yet 2 GPUs
GPU memory Not checked yet 48 GB
System RAM 192 GB 256 GB (best)
Storage included 3.84 TB 7.68 TB (best)
GPU interconnect Not checked yet Not checked yet
Billing term Monthly Monthly
Our review
Pros
  • Dedicated NVIDIA L4 and L40S bare-metal GPU options
  • ECC memory, NVMe storage, and AMD EPYC processors
  • Windows and Linux support with up to 100 Gbps private bandwidth
  • Dedicated, non-shared servers with two L40S or two H100 GPUs
  • 12- and 36-month commitment options with fixed monthly pricing
  • NVMe storage and networking up to 25 Gbit/s
Cons
  • Starts at $1,145 per month with no free plan
  • Published configurations are marked “Soon available”
  • No integrations and limited GPU configuration detail
  • Commitment rates require accepting a 12- or 36-month term
  • Configurations are limited to L40S and H100 GPU servers
  • Platform details are limited
Our verdict

OVHcloud GPU Dedicated Server provides rented bare-metal servers with dedicated GPU resources for AI training, machine learning, scientific simulations, rendering, visual effects, game development, and data analytics. It is aimed at teams…

Read the review →

Scaleway Dedibox GPU provides dedicated, non-shared servers built around two L40S or two H100 GPUs. It targets organizations with sustained AI training, deep learning, data processing, rendering, or inference workloads that need dedicated…

Read the review →
  1. OVHcloud GPU Dedicated ServerGPU Server Hosting 9.1Paid
  2. Scaleway Dedibox GPUGPU Server Hosting 8.8Paid

Strengths and trade-offs

  • OVHcloud GPU Dedicated Server — where it wins

    • Dedicated NVIDIA L4 and L40S bare-metal GPU options
    • ECC memory, NVMe storage, and AMD EPYC processors
    • Windows and Linux support with up to 100 Gbps private bandwidth

    Where it doesn't

    • Starts at $1,145 per month with no free plan
    • Published configurations are marked “Soon available”
    • No integrations and limited GPU configuration detail
  • Scaleway Dedibox GPU — where it wins

    • Dedicated, non-shared servers with two L40S or two H100 GPUs
    • 12- and 36-month commitment options with fixed monthly pricing
    • NVMe storage and networking up to 25 Gbit/s

    Where it doesn't

    • Commitment rates require accepting a 12- or 36-month term
    • Configurations are limited to L40S and H100 GPU servers
    • Platform details are limited

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update