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"Realize the Massive Potential of Your AI Infrastructure with Bright Computing and NVIDIA"

This white paper from Bright and NVIDIA highlights how NVIDIA DGX Servers managed by Bright Cluster Manager provide the enhanced technology and support for today’s most demanding AI workloads

This new solution delivers the perfect balance of increased concurrency for handling data science workloads, the massive compute requirements associated with those workloads, and the seamless management of all resources across the HPC cluster.

With the NVIDIA/Bright Solution, HPC Users benefit from:

• Solid scale-up architecture for handling data-/compute-intensive workloads
• Easy cluster setup and provisioning
• End-to-end cluster monitoring, health checking, and automated updates
• Automated deployment and configuration of HPC workload managers, Kubernetes, machine learning/deep learning frameworks and libraries, and NGC containers
• Ability to run all the above HPC workloads on the same DGX cluster

As organizations continue to leverage GPUs for HPC applications and also host AI workloads on existing HPC clusters, a growing trend is to add DGX servers to these clusters alongside traditional CPU-based Linux servers. Because Bright Cluster Manager is platform independent, combining DGX servers with servers from another vendor is easy and seamless, resulting in a single unified cluster that Bright can centrally manage and monitor.

Offered Free by: Nvidia-Bright Computing
See All Resources from: Nvidia-Bright Computing