Categoría: nvidia

Canonical accelerates AI Application Development with NVIDIA AI Enterprise

Charmed Kubernetes support comes to NVIDIA AI Enterprise Canonical’s Charmed Kubernetes is now supported on NVIDIA AI Enterprise 5.0. Organisations using Kubernetes deployments on Ubuntu can look forward to a seamless licensing migration to the latest release of the NVIDIA AI Enterprise software platform providing developers the latest AI models and optimised runtimes. NVIDIA AI […]

Accelerate AI development with Ubuntu and NVIDIA AI Workbench

Canonical expands its collaboration with NVIDIA through NVIDIA AI Workbench. NVIDIA AI Workbench is supported across workstations, data centres, and cloud deployments. NVIDIA AI Workbench is an easy-to-use toolkit that allows developers to create, test, and customise AI and machine learning models on their PC or workstation and scale them to the data centre or […]

From lightweight to featherweight: MicroK8s memory optimisation

If you’re a developer, a DevOps engineer or just a person fascinated by the unprecedented growth of Kubernetes, you’ve probably scratched your head about how to get started. MicroK8s is the simplest way to do so. Canonical’s lightweight Kubernetes distribution started back in 2018 as a quick and simple way for people to consume K8s […]

Security at the Edge: hardware accelerated AI-based cybersecurity with Canonical Ubuntu and the BlueField-2 DPU

During GTC last fall, NVIDIA announced an increased focus on the enterprise datacenter, including their vision of the datacenter-on-a-chip. The three pillars of this new software-defined datacenter include the data processing unit (DPU) along with the CPU and GPU. The NVIDIA BlueField DPU advances SmartNIC technology, which NVIDIA acquired through their Mellanox acquisition in 2020. […]