Posts by Ekin Karabulut
Data Center / Cloud
Oct 27, 2026
Memory-Enforced GPU Sharing in Kubernetes with NVIDIA CUDA 13.4
Many AI workloads need only a fraction of a GPU. Giving each one an entire device can leave capacity idle; sharing GPUs lets platform teams serve more workloads...
7 MIN READ
Data Center / Cloud
Oct 13, 2026
NVIDIA Run:ai Is Now Open Source as Part of NVIDIA DSX AI Factory Platform
NVIDIA is making the full NVIDIA Run:ai platform available as open source software, giving customers, developers, and ecosystem partners access to...
13 MIN READ
Data Center / Cloud
Aug 03, 2026
How to Run Isolated Tenant Kubernetes Clusters on Shared GPU Infrastructure
Running a dedicated Kubernetes cluster per team often results in more isolation than an organization requires. While one cluster can be successfully shared...
10 MIN READ
Data Center / Cloud
Mar 23, 2026
Deploying Disaggregated LLM Inference Workloads on Kubernetes
As large language model (LLM) inference workloads grow in complexity, a single monolithic serving process starts to hit its limits. Prefill and decode stages...
14 MIN READ
Data Center / Cloud
Feb 27, 2026
Maximizing GPU Utilization with NVIDIA Run:ai and NVIDIA NIM
Organizations deploying LLMs are challenged by inference workloads with different resource requirements. A small embedding model might use only a few gigabytes...
11 MIN READ
Data Center / Cloud
Feb 18, 2026
Unlock Massive Token Throughput with GPU Fractioning in NVIDIA Run:ai
As AI workloads scale, achieving high throughput, efficient resource usage, and predictable latency becomes essential. NVIDIA Run:ai addresses these challenges...
13 MIN READ