NVIDIA A800

Key Features

. The A800 features 6,912 CUDA cores and 432 tensor cores to deliver high performance for AI and data analytics-related tasks. The GPU supports up to 80GB of HBM2e memory with 2TB/s bandwidth, enabling efficient processing of large models and voluminous datasets.

Performance and power

. The NVIDIA A800 runs at 1395 MHz and achieves up to 18.6 TFLOPS in FP32 computing and up to 145 TFLOPS in Tensor Float 32 (TF32) mode. The GPU supports Multi-Instance GPU (MIG) technology, which allows it to be partitioned into up to seven separate instances, providing flexibility in allocating compute resources to different tasks and applications.

Technologies and Features

. Third-generation tensor cores: The A800 includes third-generation tensor cores that deliver up to 20 times the performance of the previous generation. Support for TF32 and BF16 data formats enables faster neural network training and inference. NVLink and NVSwitch: Support for NVLink and NVSwitch interfaces enables high-speed data transfer between GPUs, reaching up to 600 GB/s. These technologies improve communication between GPUs, increasing processing efficiency in distributed systems.

The benefits of the NVIDIA A800

Applications for the NVIDIA A800

The NVIDIA A800 is ideal for compute-intensive applications such as machine learning, data analytics, and high-performance computing. It is used in data centers that require a reliable and powerful solution for training complex artificial intelligence models, conducting scientific research, and analyzing big data.