AI GPU Cloud Infrastructure

FROM SEA IT

SEA bare metal servers and virtual machines powered by NVIDIA A100 and H100 GPUs. Boost the productivity of your AI tasks with breakthrough performance!

OUR BEST PRICING

OUR BEST PRICING IS HERE

$12000 Monthly

H100 8-card computing power server rental

  • GPU:H100 80G SXM5*8
  • CPU:INTEL 8558*2
  • RAM:64G*32
  • 3000W*6

$7300 Monthly

A100 8-card computing power server rental

  • GPU:A100 80G SXM*8
  • CPU:INTEL 8358*2
  • RAM:64G*16
  • 3000W*6

$6200 Monthly

A100 8-card computing power server rental

  • GPU:A100 80G PCIE*8
  • CPU:INTEL 6330*2
  • RAM:32G*32
  • 3000W*6

OUR SERVICES

Our Service Advantages

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Rich 

GPU resources

Not only H100, A100, but also multiple types of GPU resources to meet various computing power needs

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Professional proxy operation and maintenance

7x24 hour on-site technical support, with rich experience in daily operation and maintenance, fault handling, and emergency response

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Safe and highly available

Redundant disaster recovery, strict access control monitoring; Installation of fiber optic ring network with a connectivity rate of 99.99%

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Deep customization service

Pre planning, post operation and maintenance management, personalized solutions, supporting module customization and flexible infrastructure customization

We provide you with comprehensive computing power solutions

Provide detailed solutions for large-scale training, AI application inference, simulation rendering, computing power networking, etc., and analyze computing power requirements from AI applications to optimize computing power costs, providing you with cost-effective computing resources.

By providing cost-effective privatization deployment solutions based on the actual situation of the organization, we can help save costs while building a stable and reliable GPU computing power scheduling platform, providing a basic guarantee for enhancing the organization's scientific research capabilities.

Through SEA's years of computing service experience, we aim to create a computing platform that can serve the world. Multi node scheduling, multi model support, multi scenario customization, domestic Xinchuang GPU support and other comprehensive functions reshape the usage mode of computing power services, lower the threshold for use, and improve service efficiency.

For large-scale training of large models, SEA provides different solutions for multiple stages of large-scale model training, including bottlenecks in computing power networking, low utilization of computing power resources, difficulty in matching algorithm engineers with computing power, inflexible resource allocation, and difficult management of resource dispersion.

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