Support the AI lifecycle
Run model development, fine-tuning, batch processing, and online inference workloads.
GPU Hashrate Leasing
Easily, quickly, and cost-effectively set up high-performance computing storage resources and dependency environments needed for AI models
The Most Cost-Effective GPU Hashrate Platform
A100 PCIE
¥ 6.42 / hour
High-performance GPU, suitable for various AI models, cost-effective
80GB
GPU Memory
AMD EPYC 9654(96核)
CPU
64/516GB
Memory
2288.1GB(含50GB免费)
Data Disk
上海A区/111机
RTX 6000 Ada
¥ 5.28 / hour
High-performance GPU, suitable for various AI models, cost-effective
48GB
GPU Memory
AMD EPYC 7443(24核)
CPU
129/516 GB
Memory
930GB(含50GB免费)
Data Disk
上海A区/111机
RTX 4090
¥ 2.27 / hour
High-performance GPU, suitable for various AI models, cost-effective
24GB
GPU Memory
AMD EPYC 9354(32核)
CPU
43/258 GB
Memory
558.6 GB(含50GB免费)
Data Disk
上海A区/111机
华为 Ascend 910
¥ 2.36 / hour
High-performance GPU, suitable for various AI models, cost-effective
32GB
GPU Memory
AMD EPYC 7R32(48核)
CPU
258/258 GB
Memory
3068.0 GB(含50GB免费)
Data Disk
上海A区/111机
天垓100
¥ 1.49 / hour
High-performance GPU, suitable for various AI models, cost-effective
32GB
GPU Memory
AMD EPYC 75F3(32核)
CPU
19/192 GB
Memory
2930GB(含50GB免费)
Data Disk
上海A区/111机
摩尔线程 MTT S4000
¥ 1.69 / hour
High-performance GPU, suitable for various AI models, cost-effective
48GB
GPU Memory
AMD EPYC 9554(64核)
CPU
60/242 GB
Memory
1077.8 GB(含50GB免费)
Data Disk
上海A区/111机
Why Choose Shengsuanyun's GPU Leasing
Secure Communication
The cloud platform integrates distributed GPU nodes through secure encrypted communication to form a cloud GPU computing cluster, providing efficient and secure solutions for GPU hosting
Multiple Image Options
The cloud platform provides various pre-configured images, simplifying development environment setup and saving time from scratch, especially for complex environments
Most Cost-Effective
Achieved high-speed cross-regional and cross-institution intelligent computing resource scheduling, greatly improving the utilization rate of intelligent computing resources, and significantly reducing the cost of computing power leasing
Multiple Billing Methods
Provides multiple billing models, short-term testing can choose hourly or pay-as-you-go billing, and long-term tasks can choose weekly or monthly discount plans
Hashrate Market
GPU computing resources
Match GPUs to development, training, and inference workloads
Shengsuanyun GPU Leasing aggregates computing resources across regions and offers prepared images, flexible billing periods, and hardware choices for AI developers and enterprises.
Use prepared environments
Reduce repeated driver, framework, and toolchain setup with available platform images.
Choose a billing period
Use hourly or metered options for tests and evaluate weekly or monthly plans for sustained jobs.
GPU selection workflow
Define workload constraints before selecting an instance and usage period.
- 1
Assess requirements
Estimate model size, GPU memory, CPU, RAM, storage, runtime, and networking needs.
- 2
Compare regions and instances
Review available GPUs, configurations, billing details, and prepared images in the marketplace.
- 3
Launch and validate
Check drivers and dependencies, run a small test, and then start the production workload.
GPU leasing frequently asked questions
- How should I choose a GPU instance?
- Start with model size, memory requirements, workload type, expected runtime, and budget, then compare CPU, RAM, and storage.
- Are prepared images available?
- Yes. The platform offers prepared images to reduce setup time. Actual options are shown in the marketplace.
- Which billing methods are available?
- The page describes hourly, metered, weekly, and monthly options. Current prices and periods are displayed in the marketplace.
- Which workloads can run on the GPUs?
- They can support AI development, fine-tuning, data processing, and inference, subject to the selected configuration and image.