NVLink
AssessPlatforms
NVIDIA's high-speed interconnect for linking GPUs within AI systems.
Why it's here
Placed in Assess: 3 article(s) of evidence from 2 source(s), led by funding news, with 1 in the last 30 days. Confidence 46%.
Evidence (3)
- 7The New Stack·8/6/2026framework_updateKubernetes 1.34 DRA aims to fix GPU scheduling pain
The article explains how Kubernetes historically treated GPUs as identical units, causing inefficient scheduling, out-of-memory failures, and wasted MIG capacity across mixed hardware clusters. It highlights Dynamic Resource Allocation in Kubernetes 1.34 as a new way to express GPU requirements more precisely, including memory, GPU generation, MIG profile preferences, and NVLink-connected devices.
- 7The New Stack·6/30/2026product_launchAI infrastructure lock-in is driving costly redesigns
The article argues that AI infrastructure teams are moving away from optimizing only for today's GPUs, because upcoming workloads such as reasoning, agents, and multimodal models place different demands on memory, networking, and system balance. It highlights industry shifts toward rack-scale, co-designed platforms from Nvidia, AMD, and hyperscalers as companies try to avoid expensive infrastructure lock-in and rebuilds.
- 7NVIDIA GenAI·6/16/2026fundingCoherent Breaks Ground on Expanded Texas AI Optics Plant
Coherent has started construction on an expanded manufacturing facility in Sherman, Texas, to increase output of lasers, optical components, and indium phosphide wafers used in AI networking and interconnects. The project is supported by a $50 million CHIPS Act grant and aligns with broader U.S. efforts to expand domestic semiconductor manufacturing for AI infrastructure.