NVIDIA AI Updates: August 4, 2026

1. NVIDIA Details Running Isolated Tenant Kubernetes Clusters on Shared GPU Infrastructure

NVIDIA. NVIDIA published a technical guide on operating isolated, multi-tenant Kubernetes clusters on top of shared GPU infrastructure. The post covers how to partition and schedule GPU resources so that separate tenants can run workloads on the same underlying hardware without interfering with one another. The guidance targets cloud and enterprise operators seeking to raise utilization of expensive GPU fleets while preserving tenant isolation. Source

2. NVIDIA Publishes Vera Storage Benchmarks for AI-Native Storage

NVIDIA. NVIDIA released benchmark results for Vera storage, reporting faster encryption, compression, integrity checking, and recovery for AI-native storage workloads. The post frames these data services as accelerable offloads that reduce bottlenecks in the storage layer feeding AI training and inference pipelines. The benchmarks are aimed at teams designing high-throughput storage for large-scale GPU deployments. Source