A100 SXM4

¥3,415.00

‌Functions‌:

The A100 SXM4 serves as a high-performance GPU accelerator, providing powerful computing capabilities for various applications‌.

‌Weight and Dimensions‌:

Specific weight and dimensions for the A100 SXM4 are not provided in the sources consulted. However, it is designed for installation in Supermicro systems and other compatible servers, suggesting a form factor suitable for rack-mounted servers.

‌Characteristics‌:

‌High Performance‌: Offers excellent single-precision and double-precision floating-point performance‌.
‌Multi-Instance GPU (MIG)‌: Allows the GPU to be partitioned into multiple logical GPUs, enhancing utilization and scalability‌.
‌Advanced Memory Bandwidth‌: Provides high memory bandwidth, crucial for data-intensive applications‌.

Category:

Description

‌Parameters and Specifications‌:

‌Core Frequency‌: 1095 MHz (base), with a Turbo frequency of 1410 MHz‌
‌CUDA Cores‌: 6912‌
‌Architecture‌: NVIDIA Ampere‌.
‌GPU Code Name‌: GA100‌
‌Production Process‌: 7 nm‌
‌TDP‌: 400W‌
‌Memory‌: 40 GB or 80 GB HBM2e, with a memory frequency of 2.4 Gbps and a memory bandwidth of up to 2TB/s (for the 80GB version)‌

‌Functions‌:

The A100 SXM4 serves as a high-performance GPU accelerator, providing powerful computing capabilities for various applications‌.

‌Weight and Dimensions‌:

Specific weight and dimensions for the A100 SXM4 are not provided in the sources consulted. However, it is designed for installation in Supermicro systems and other compatible servers, suggesting a form factor suitable for rack-mounted servers.

‌Characteristics‌:

‌High Performance‌: Offers excellent single-precision and double-precision floating-point performance‌.
‌Multi-Instance GPU (MIG)‌: Allows the GPU to be partitioned into multiple logical GPUs, enhancing utilization and scalability‌.
‌Advanced Memory Bandwidth‌: Provides high memory bandwidth, crucial for data-intensive applications‌.

‌Application Areas‌:

‌Artificial Intelligence and Machine Learning‌: The A100 SXM4 excels in training neural networks and performing complex data analysis‌.
‌Healthcare and Financial Services‌: Used in gene sequencing, drug discovery, and processing large volumes of financial data‌.
‌High-Performance Computing‌: Suitable for various HPC applications requiring high computational power and memory bandwidth.