Tagged articles

NVIDIA GPU

4 articles · Page 1 of 1

Oct 8, 2026 · Industry Insights

Huawei vs NVIDIA: AI Chip & Super Node Roadmap Showdown (2020–2028)

This analysis compares Huawei and NVIDIA's AI chip roadmaps through 2028, contrasting NVIDIA's high-density NVLink rack architecture with Huawei's massive-scale SuperPod clusters, and reveals how low-precision compute, interconnect bandwidth, and system-level delivery define the future of large-model training infrastructure.

AI ChipsHuawei AscendMLPerf

0 likes · 11 min read

Huawei vs NVIDIA: AI Chip & Super Node Roadmap Showdown (2020–2028)

Architects' Tech Alliance

Oct 30, 2025 · Artificial Intelligence

How to Pick the Perfect Nvidia GPU for AI Servers – From Tesla to Hopper

This article traces the evolution of Nvidia’s GPU architectures—from the early Tesla series through Fermi, Kepler, Maxwell, Pascal, Volta, Turing, Ampere, and the latest Hopper—detailing their specifications, key features, and offering a systematic decision‑making guide for AI server designers to select the optimal GPU based on workload, model size, precision, scalability, and total cost of ownership.

AI serverGPU SelectionGPU architecture

0 likes · 16 min read

How to Pick the Perfect Nvidia GPU for AI Servers – From Tesla to Hopper

Infra Learning Club

Nov 25, 2024 · Cloud Native

Testing NVIDIA GPU DRA on Kubernetes 1.31

This guide walks through setting up an Ubuntu 22.04 environment, installing Docker, kind, the NVIDIA Container Toolkit, configuring the NVIDIA runtime as default, building and deploying the Kubernetes DRA driver, and running three demo scenarios that demonstrate GPU sharing across containers and pods in a Kubernetes 1.31 cluster.

Device Resource AllocationDockerKind

0 likes · 7 min read

Testing NVIDIA GPU DRA on Kubernetes 1.31

Cloud Native Technology Community

Mar 11, 2024 · Cloud Native

Harnessing Nvidia GPUs in Kubernetes: Virtualization, Scheduling & Best Practices

This article explains how to combine Nvidia GPUs with Kubernetes, covering CUDA toolkits, device plugins, GPU virtualization techniques such as Time‑Slicing, MPS and MIG, and advanced scheduling options like Volcano, while also outlining practical deployment steps and performance considerations.

Cloud NativeDevice PluginGPU virtualization

0 likes · 22 min read

Harnessing Nvidia GPUs in Kubernetes: Virtualization, Scheduling & Best Practices