01Understand the model
Match GPU memory and compute to your framework.
解决方案
Artificial Intelligence for your infrastructure plan
Use Hostingard to scope model serving, accelerator memory and data pipelines. Compare the configuration, deployment location and billing terms before requesting a confirmed quotation.
- Model development
- GPU inference
- Data pipelines
中国
查看可用服务器 →面向中国企业的服务器与云基础设施
为面向中国用户的电商、SaaS 和企业应用规划计算资源。比较香港及其他可用地区的服务器配置，并通过统一账户管理订单。
当前目录不包含中国大陆数据中心。香港属于单独的部署地区；跨境网络表现需自行测试。部署前请确认适用的备案、数据处理和跨境传输要求。标价仍为欧元，不提供人民币自动换算。
ARTIFICIAL INTELLIGENCE / REFERENCE ARCHITECTURE
Designed around the way artificial intelligence works
Use Hostingard to scope model serving, accelerator memory and data pipelines. Compare the configuration, deployment location and billing terms before requesting a confirmed quotation.
01
→Training data
Model development
02
→Accelerated compute
GPU inference
03
Model artifacts
Data pipelines
Illustrative architecture. Validate your application and operational requirements before deployment.
Your priorities, turned into a plan
01
02Move data efficiently
Plan dataset storage, preprocessing and checkpoints.
03Measure what matters
Benchmark throughput, latency and deployment cost.
Building blocks for Artificial Intelligence
Discuss your architecture →Servers
GPU Servers
Use Hostingard to match accelerator memory and software support to training or inference workloads. Compare the configuration, deployment location and billing terms before requesting a confirmed quotation.
Explore GPU Servers →云服务Object Storage
Use Hostingard to organize application objects, retention and access permissions. Compare the configuration, deployment location and billing terms before requesting a confirmed quotation.
Explore Object Storage →ServersHigh Performance Servers
Use Hostingard to reduce compute bottlenecks in demanding applications. Compare the configuration, deployment location and billing terms before requesting a confirmed quotation.
Explore High Performance Servers →Plan artificial intelligence around the workload
Before selecting artificial intelligence, document peak demand, expected growth and the effect of an outage. The practical goal is to scope model serving, accelerator memory and data pipelines. Include application dependencies and migration constraints so a configuration can be reviewed against measurable requirements.
What to confirm in a artificial intelligence quote
Ask for an itemized configuration, selected location, billing cycle and the scope of any optional licenses or managed work. Availability and final pricing for artificial intelligence require confirmation. A listing or request does not reserve hardware, activate a license or start provisioning.
Discuss your requirements with Hostingard → · Compare configurations and locations →
Your questions, answered
What should I consider when planning artificial intelligence?+
Bring accelerated compute, storage and data pipelines together for practical AI workloads.
Where can I find the details for artificial intelligence?+
Use the overview, specifications and tools on this page. A downloadable brief is available where applicable; a quote request can carry your selected requirements into the inquiry form.
What should I confirm before placing an order?+
Confirm the selected configuration, deployment location, availability, billing cycle and applicable tax. Service activation follows payment verification and order review.