Expand the frontiers of business innovation and optimization with NVIDIA DGX™ H100. Part of the DGX platform and the latest iteration of NVIDIA’s legendary DGX systems, DGX H100 is the AI powerhouse that’s the foundation of NVIDIA DGX SuperPOD™, accelerated by the groundbreaking performance of the NVIDIA H100 Tensor Core GPU.

Modern data centers are evolving rapidly. Advanced technologies such as real-time ray tracing, AI, compute, simulation, and VR are common across industries. The need to work remotely has accelerated faster than anyone could have anticipated, with workloads that span the entire enterprise. NVIDIA® A40 delivers the data center-based solution designers, engineers, artists, and scientists need to meet today’s challenges. Built on the NVIDIA Ampere architecture, the A40 combines the latest generation RT Cores, Tensor Cores, and CUDA® Cores with 48GB of graphics memory for unprecedented graphics, rendering, compute, and AI performance. From powerful virtual workstations accessible from anywhere, to dedicated render and compute nodes, the A40 is built to tackle the most demanding visual computing workloads from the data center.

Putting the HGX A100 8-GPU server platform together With the GPU baseboard building block, the NVIDIA server-system partners customize the rest of the server platform to specific business needs: CPU subsystem, networking, storage, power, form factor, and node management.

Versatile Compute Acceleration for Mainstream Enterprise Servers Bring accelerated performance to every enterprise workload with NVIDIA A30 Tensor Core GPUs. With NVIDIA Ampere architecture Tensor Cores and Multi-Instance GPU (MIG), it delivers speedups securely across diverse workloads, including AI inference at scale and high-performance computing (HPC) applications. By combining fast memory bandwidth and low-power consumption in a PCIe form factor optimized for mainstream servers, A30 enables an elastic data center and delivers maximum value for enterprises. The NVIDIA A30 Tensor Core GPU delivers a versatile platform for mainstream enterprise workloads, like AI inference, training, and HPC. With TF32 and FP64 Tensor Core support, as well as an end-to-end software and hardware solution stack, A30 ensures that mainstream AI training and HPC applications can be rapidly addressed. Multi-instance GPU (MIG) ensures quality of service (QoS) with secure, hardware-partitioned, right-sized GPUs across all of these workloads for diverse users, optimally utilizing GPU compute resources.