NVIDIA DGX A100
Every business needs to transform using artificial intelligence (AI), not only to survive, but to thrive in challenging times. However, the enterprise requires a platform for AI infrastructure that improves upon traditional approaches, which historically involved slow compute architectures that were siloed by analytics, training, and inference workloads. The old approach created complexity, drove up costs, constrained speed of scale, and was not ready for modern AI. Enterprises, developers, data scientists, and researchers need a new platform that unifies all AI workloads, simplifying infrastructure and accelerating ROI.
The Universal System for Every AI Workload
DGX A100 sets a new bar for compute density, packing 5 petaFLOPS of AI performance into a 6U form factor, replacing legacy compute infrastructure with a single, unified system. DGX A100 also offers the unprecedented ability to deliver fine-grained allocation of computing power, using the Multi-Instance GPU capability in the NVIDIA DGX A100 Tensor Core GPU, which enables administrators to assign resources that are right-sized for specific workloads. This ensures that the largest and most complex jobs are supported, along with the simplest and smallest. Running the DGX software stack with optimized software from NGC, the combination of dense compute power and complete workload flexibility make DGX A100 an ideal choice for both single node deployments and large scale Slurm and Kubernetes clusters deployed with NVIDIA DeepOps.
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