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title: The future of AI is community driven and open | daily.dev
description: NVIDIA outlines its commitment to open-source AI infrastructure through CNCF, backed by a $4M investment over three years to enable GPU-based CI/CD testing....
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# The future of AI is community driven and open

**[CNCF](https://daily.dev/sources/cncf)** · 6 min read · 1 upvotes · 0 comments

## Summary

NVIDIA outlines its commitment to open-source AI infrastructure through CNCF, backed by a $4M investment over three years to enable GPU-based CI/CD testing. Key contributions include the NVIDIA GPU Dynamic Resource Allocation (DRA) Driver now upstream in Kubernetes SIG-Node, the KAI Scheduler accepted as a CNCF Sandbox project with gang scheduling and hierarchical queues tested on 10,000+ GPU clusters, and the Kubernetes AI Conformance Program growing from 18 to 31 certified platforms. The core argument is that GPU workloads need the same community-governed, interoperable infrastructure that made Kubernetes the standard for distributed systems, rather than proprietary vendor extensions.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.cncf.io/blog/2026/07/23/the-future-of-ai-is-community-driven-and-open>

## Questions this post answers

### What is the NVIDIA GPU Dynamic Resource Allocation (DRA) driver and what does it change about GPU scheduling in Kubernetes?

It is NVIDIA's reference implementation of the vendor-neutral Dynamic Resource Allocation API, now upstream in Kubernetes SIG-Node. It replaces static GPU assignment at scheduling time with real-time, on-demand allocation, adds alpha support for MIG device sharing, and introduces ComputeDomains that let GPUs share memory across nodes over Multi-Node NVLink, so multi-GPU jobs get exactly the accelerators they need instead of holding a fixed reservation.

_Teams planning GPU scheduling upgrades can follow DRA driver developments as they land on daily.dev._

### What is the KAI Scheduler and what scale has it been tested at?

KAI Scheduler is an open source Kubernetes scheduler built by NVIDIA that was accepted as a CNCF Sandbox project at KubeCon + CloudNativeCon Europe. It provides gang scheduling with pre-scheduling simulation to avoid needless job eviction, hierarchical queues with Dominant Resource Fairness for multi-team clusters, and asynchronous binding that has been run against clusters of more than 10,000 GPUs.

_Anyone evaluating large-scale GPU cluster schedulers can track KAI Scheduler's roadmap via daily.dev._

### How many platforms are certified under the Kubernetes AI Conformance Program and what new requirements are coming in v1.35?

The Kubernetes AI Conformance Program has grown from 18 to 31 certified platforms since launch. New requirements landing in v1.35 cover agentic workflow support and in-place pod resizing for inference serving, giving organizations a way to verify AI-ready infrastructure works consistently across providers rather than relying on vendor claims.

_Platform teams comparing AI-ready Kubernetes distributions can watch conformance updates through daily.dev._

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---

Tags: [#kubernetes](https://daily.dev/tags/kubernetes), [#nvidia](https://daily.dev/tags/nvidia), [#cloud-native](https://daily.dev/tags/cloud-native), [#cncf](https://daily.dev/tags/cncf)

[View this post on daily.dev](https://daily.dev/posts/the-future-of-ai-is-community-driven-and-open-scdjbegms)

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