• General Information
• • Manufacturer
  • Leadtek Research, Inc
  • Manufacturer Website Address
  • http://www.leadtek.com
  • Brand Name
  • Leadtek
  • Product Type
  • Graphic Card

Powerful Performance and Versatility | for Data Science and HPC Workloads

The explosion of new and emerging analytics, artificial intelligence (AI) and high-performance computing (HPC) applications are fueling the next industrial revolution and transforming how creative and knowledge workers conquer their greatest challenges. Solving these challenges requires powerful software and hardware platforms that can accelerate the development and deployment of next-generation applications and simplify the process of deploying at scale.

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. By using common frameworks to develop once and deploy anywhere, IT and creative professionals can leverage high-performance workstation platforms powered by A800 40GB Active to derive insights from large datasets, build, iterate, and refine AI-augmented applications and models, tackle the most demanding computational problems, and simplify deployment at scale. Supercomputing power on workstation platforms with A800 40GB Active, combined with NVIDIA's GPU-optimized data science, AI and HPC software platforms, preserves scarce data center resources by using common frameworks to build once and deploy anywhere at scale.

Performance Features | Third-Generation Tensor Cores Performance and Versatility for HPC and AI

First introduced in the NVIDIA Volta^™architecture, NVIDIA Tensor Core technology has brought dramatic speedups to AI training and inference operations, bringing down training times from weeks to hours and providing massive acceleration to inference.

The NVIDIA Ampere architecture builds upon these innovations by providing up to 20X higher FLOPS for AI. It does so by improving the performance of existing precisions and bringing new precisions-TF32, INT8, and FP64-that accelerate and simplify AI adoption and extend the power of NVIDIA Tensor Cores to HPC.

Multi-Instance GPU (MIG) | Securely, Isolated Multi-Tenancy

Each AI and HPC application can benefit from acceleration, but not every application needs the performance of a full A800 40GB Active GPU. Multi-Instance GPU (MIG) maximizes the utilization of GPU-accelerated infrastructure by allowing an A800 40GB Active GPU to be partitioned into as many as seven independent instances, fully isolated at the hardware level. This provides multiple users access to GPU acceleration with their own high-bandwidth memory, cache, and compute cores. Now, developers can access breakthrough acceleration for all their applications, big and small, and get guaranteed quality of service. And IT administrators can offer right-sized GPU acceleration for optimal utilization and expand access to every user and application.

Third-Generation NVIDIA NVLink | Scale to Multiple GPUs With 80GB of Memory

Connect a pair of NVIDIA A800 40GB Active cards with NVLink to increase the effective memory footprint and scale application performance by enabling GPU-to-GPU data transfers at rates up to 100GB/s (bidirectional) for a total bandwidth of 200GB/s. Scaling applications across multiple GPUs requires extremely fast movement of data.The third generation of NVLink in A800 40GB Active provides 400GB/s of GPU-to-GPU direct bandwidth.