Canonical collaborates with NVIDIA to accelerate enterprise AI adoption in multi-cloud environments and at the edge
Enterprises currently face the challenge of how to adopt and integrate AI and ML into their operations effectively, at scale and with minimum complexity. In tandem, today’s AI workloads have become increasingly advanced and the compute power required to support them has exponentially increased.
Canonical and NVIDIA have collaborated to help enterprises accelerate their adoption of AI and ML with Ubuntu 18.04 LTS certified on the NVIDIA DGX-2 AI system. This combination brings unprecedented performance, flexibility and security to enterprises’ AI/ML operations. With the ability to run the entire line of DGX systems either stand-alone or as part of a Kubernetes cluster on Ubuntu, enterprises can unlock containerised and cloud-native development of GPU-accelerated workloads.
The NVIDIA DGX-2 offers unprecedented levels of compute, with 16 of the world’s most advanced GPUs delivering 2 petaFLOPS of AI performance. With the combination of DGX-2 and Ubuntu 18.04 LTS, data scientists and engineers can move faster and at a greater scale using their chosen operating system, allowing them to deliver portable AI workloads on-premises, in the cloud and at the edge.
Canonical collaborates with NVIDIA to accelerate enterprise AI adoption in multi-cloud environments and at the edge
Canonical and NVIDIA announced today a partnership to certify Ubuntu 18.04 LTS on the NVIDIA DGX-2 AI system
