Learn how to set up NVIDIA A800 40GB Active with a companion GPU for display and activate the NVIDIA AI Enterprise license. 1 Peak rates based on GPU Boost Clock. 2 Theoretical INT8 TOPS using sparsity.

With 9.7 TFLOPS of FP64 compute performance, the A800 40GB Active GPU enables geoscience professionals to power the latest AI-augmented exploration and production software workflows and accelerate simulation processes to gain faster insight into subsurface data.

Nov 8, 2023 · 而现在市面上繁多的 GPU 型号令人眼花缭乱，我们今天就来看看常见的 V100、A100、A800、H100、H800 这几款 GPU 有什么区别呢？ 在了解 V100、A100、H100 这几款 GPU 的区别之前，我们先来简单了解下 NVIDIA GPU 的核心参数，这样能够更好地帮助我们了解这些 GPU 的差别和各自的优势。 CUDA Core：CUDA Core 是 NVIDIA GPU上的计算核心单元，用于执行通用的并行计算任务，是最常看到的核心类型。 NVIDIA 通常用最小的运算单元表 …

从官方公布的参数来看， A800主要是将NVLink的传输速率由A100的600GB/s降至了400GB/s，其他参数与A100基本一致。 今年3月，英伟达发布了新一代基于4nm工艺，拥有800亿个晶体管、18432个核心的H100 GPU。 同样，NVIDIA也推出了针对中国市场的特供版H800。 NVIDIA 在给路透社的一份声明中表示：“我们的 800 系列产品符合出口管制法规。 ”路透社报道称， H800 的芯片间数据传输速度是 H100 的一半。 据称800系列产品已被阿里巴巴、百度和腾讯的云部门采 …

It features 6912 shading units, 432 texture mapping units, and 160 ROPs. Also included are 432 tensor cores which help improve the speed of machine learning applications. NVIDIA has paired 80 GB HBM2e memory with the A800 PCIe 80 GB, …

Powered by the NVIDIA Ampere architecture, the A800 40GB Active delivers powerful compute, high-speed memory, and scalability, so data professionals can tackle their most challenging data science, AI, and HPC workloads:

The NVIDIA A800 40GB Active GPU, powered by the NVIDIA Ampere architecture, delivers unprecedented compute acceleration for workstations, delivering powerful performance to accelerate the development and deployment of next-generation data science, data analytics, AI and HPC applications.

随后NVIDIA为了在遵守美国限制规则的前提下，同时满足中国客户的需求，在 11月8日 宣布将推出符合美国新规的A100的替代产品A800，并且将会在今年三季度投产。 从官方公布的参数来看， A800主要是将NVLink的传输速率由A100的600GB/s降至了400GB/s，其他参数与A100基本一致。 今年3月，英伟达发布了新一代基于4nm工艺，拥有800亿个晶体管、18432个核心的H100 GPU。 同样，NVIDIA也推出了针对中国市场的特供版H800。 NVIDIA 在给路透社的一份声明中表 …

It features 6912 shading units, 432 texture mapping units, and 160 ROPs. Also included are 432 tensor cores which help improve the speed of machine learning applications. NVIDIA has paired 40 GB HBM2e memory with the A800 PCIe 40 GB, …

NVIDIA A800 delivers 312 teraFLOPS (TFLOPS) of deep learning performance. That’s 20X the Tensor floating-point operations per second (FLOPS) for deep learning training and 20X the Tensor tera operations per second (TOPS) for deep learning inference compared to NVIDIA Volta GPUs. Next-Generation NVLink