Categoría: nvidia

JetPack 4 EOL – how to keep your userspace secure during migration

NVIDIA JetPack 4 reached its end-of-life (EOL) in November 2024, marking the end of security updates for this widely deployed stack. JetPack 4 has driven innovation in countless devices powered by NVIDIA Jetson, serving as the foundation of edge AI production deployments across multiple sectors. But now, the absence of security maintenance creates risk for […]

Canonical Kubernetes meets NVIDIA DOCA Platform Framework (DPF): building the future of DPU-driven infrastructure

The combined solutions simplify infrastructure operations and accelerate time-to-value for AI, telecom, and enterprise computing workloads. Accelerate deployment and operations of BlueField DPUs with Canonical Kubernetes At GTC Paris today, Canonical announced support for the NVIDIA DOCA Platform Framework (DPF) with Canonical Kubernetes LTS. This milestone strengthens the strategic collaboration between the two companies and […]

Accelerating AI with open source machine learning infrastructure

The landscape of artificial intelligence is rapidly evolving, demanding robust and scalable infrastructure. To meet these challenges, we’ve developed a comprehensive reference architecture (RA) that leverages the power of open-source tools and cutting-edge hardware. This architecture, built on Canonical’s MicroK8s and Charmed Kubeflow, running on Dell PowerEdge R7525 servers, and accelerated by NVIDIA NIM microservices, […]

Building optimized LLM chatbots with Canonical and NVIDIA

The landscape of generative AI is rapidly evolving, and building robust, scalable large language model (LLM) applications is becoming a critical need for many organizations. Canonical, in collaboration with NVIDIA, is excited to introduce a reference architecture designed to streamline and optimize the creation of powerful LLM chatbots. This solution leverages the latest NVIDIA AI […]