A100 80GB PCIe

OVERVIEW

The NVIDIA A100 80GB PCIe is a high-performance GPU designed for data centers, targeting AI, machine learning, and high-performance computing workloads. It is part of the Ampere architecture, offering significant improvements in performance and memory capacity over its predecessors. The 80GB variant provides ample memory for large-scale models and datasets, making it ideal for demanding applications.

SPECIFICATIONS

WHAT THIS GPU IS GOOD AT

This GPU excels at AI training and inference, offering exceptional performance for deep learning frameworks like TensorFlow and PyTorch. Its large memory capacity and high bandwidth make it particularly effective for large-scale models and data-intensive tasks. The A100's support for multi-instance GPU (MIG) technology allows for efficient resource partitioning.

SERVER OPTIONS

The A100 80GB PCIe is available in a variety of server platforms, including NVIDIA's own DGX systems and HGX A100 baseboards. It is also offered by major OEMs like Dell PowerEdge, HPE ProLiant, and Supermicro. Cloud providers such as AWS, Azure, and Google Cloud offer instances powered by the A100, enabling flexible deployment options.

POWER, THERMALS & NOISE

The A100 80GB PCIe has a TDP of around 300 watts, requiring robust cooling solutions, typically air-cooled in data center environments. It maintains efficient thermal performance under load, though noise levels can vary depending on the server's cooling design. Liquid cooling options are available for optimized thermal management.

COMPATIBILITY & SYSTEM FIT

This GPU uses the PCIe 4.0 interface, ensuring high data transfer rates. It is available in a standard PCIe form factor, making it compatible with a wide range of server configurations. NVLink support is not available in the PCIe variant, which may limit inter-GPU communication bandwidth compared to the SXM version.

LIMITATIONS & KNOWN TRADE-OFFS

While the A100 80GB PCIe offers excellent performance, it lacks NVLink support, which can be a limitation for workloads requiring high inter-GPU communication. Its high power consumption necessitates adequate power supply and cooling infrastructure. Availability can be constrained due to high demand and production limitations.

PRICING