AI 摘要
我们查看了 research data and computing resources 的 10000 个实时结果，并筛选出最值得先比较的 3 个选项。
这份短名单里最突出的主题是 Supercomputing 和 Data Storage。
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我们查看了 research data and computing resources 的 10000 个实时结果，并筛选出最值得先比较的 3 个选项。
这份短名单里最突出的主题是 Supercomputing 和 Data Storage。
来源: A*STAR Computational Resource Centre (A*CRC)
描述
Comprehensive high-end computing services and secure data storage solutions tailored for the A*STAR research community's intensive computational needs.
适用场景
A*STAR researchers, Data storage 和 Computational science
评分
来源: National Supercomputing Centre (NSCC) Singapore
描述
Access to high-performance computing facilities including the ASPIRE 1 and ASPIRE 2 supercomputers. These resources support complex data analytics, AI development, and large-scale simulations with features like cloud bursting and hybrid HPC capabilities.
适用场景
Academic researchers, AI developers, Large Scale modeling 和 Public sector projects
评分
来源: NUS Central High-Performance Computing Facility
描述
High-performance computing clusters, including the Hopper and Atlas systems, featuring CPU cores and H100 GPU cards for compute-intensive university research.
适用场景
NUS researchers, Computational biology, AI infrastructure 和 University research projects
评分
| 比较 | Research Data and Computing Resources | National Petascale Computing Resources | NUS Research Computing Clusters |
|---|---|---|---|
| 来源 | A*STAR Computational Resource Centre (A*CRC) | National Supercomputing Centre (NSCC) Singapore | NUS Central High-Performance Computing Facility |
| 描述 | Comprehensive high-end computing services and secure data storage solutions tailored for the A*STAR research community's intensive computational needs. | Access to high-performance computing facilities including the ASPIRE 1 and ASPIRE 2 supercomputers. These resources support complex data analytics, AI development, and large-scale simulations with features like cloud bursting and hybrid HPC capabilities. | High-performance computing clusters, including the Hopper and Atlas systems, featuring CPU cores and H100 GPU cards for compute-intensive university research. |
| 适用场景 | A*STAR researchers, Data storage 和 Computational science | Academic researchers, AI developers, Large Scale modeling 和 Public sector projects | NUS researchers, Computational biology, AI infrastructure 和 University research projects |
| 操作 | |||
| 评分 |
如果你想先看最均衡的选择，我推荐：
"Research Data and Computing Resources 来自 A*STAR Computational Resource Centre (A*CRC)."
我选择它是因为 Critical shared service for A*STAR affiliated researchers needing high-end storage and processing.