List of Xi Servers with NVIDIA A16 GPU

The NVIDIA Ampere architecture’s CUDA cores bring up to 2.5x the single-precision floating point (FP32) throughput compared to the previous generation, providing significant performance improvements for graphics workflows such as 3D model development and compute for workloads such as desktop simulation for computer-aided engineering (CAE).

Achieve fully interactive, photorealistic visualization in the application viewport by connecting to one or more servers to boost virtual desktop performance. By leveraging a common pool of GPU accelerated data center resources to run virtual workstations and render nodes, productivity is boosted and projects can be completed faster.

Incorporating second generation ray tracing engines, the NVIDIA Ampere GPU architecture provides incredible ray traced rendering performance. NVIDIA A16 can render complex professional models with physically accurate shadows, reflections, and refractions to empower users with instant insight. Working in concert with applications leveraging APIs such as NVIDIA OptiX, Microsoft DXR and Vulkan ray tracing, servers based on NVIDIA A16 will power truly interactive design workflows to provide immediate feedback for unprecedented levels of productivity.

Purpose-built for deep learning matrix arithmetic at the heart of neural network training and inferencing functions, the NVIDIA A16 includes enhanced Tensor Cores that accelerate more datatypes (TF32 and BF16) and includes a new Fine-Grained Structured Sparsity feature that delivers up to 2x throughput for tensor matrix operations compared to the previous generation.

The NVIDIA A16 supports PCI Express Gen 4, which provides double the bandwidth of PCIe Gen 3, improving data-transfer speeds from CPU memory for data-intensive tasks like AI and data science.

Built with 64 GB GDDR6 memory total (4x 16 GB) delivering higher bandwidth throughput for ray tracing, rendering, and AI workloads than the previous generation. The NVIDIA A16 provides the graphics memory footprint to address the real-world datasets and models in latency-sensitive professional applications.