KubernetesGPU Capacity Planning: Validate Outcomes Before Adding Hardware3 min read·8h ago·via The New Stack
KubernetesGPU autoscaling and pod‑restart automation reshape Kubernetes AI workloads3 min read·1d ago·via The New Stack
NVIDIANVIDIA Minerva introduces AI factory observability for proactive AIOps4 min read·2d ago·via NVIDIA Blog
GCPGoogle Cloud adds A5X GPU instances, Virgo Network fabric, and GPUDirect storage for large‑scale agentic AI4 min read·3d ago·via Google Cloud Blog
GCPGeneral Availability of Confidential G4 GPUs: What Engineers Need to Know4 min read·3d ago·via Google Cloud Blog
GCPDistributed LLM Inference on GKE: llm-d 1.0 Brings Cache‑Aware Routing and Multi‑Accelerator Pools4 min read·4d ago·via Google Cloud Blog
NVIDIARTX Spark laptops deliver unified GPU‑CPU AI compute for edge workloads4 min read·7d ago·via NVIDIA Blog
KubernetesGPU Security on Kubernetes: New Risks and Defensive Approaches2 min read·8d ago·via InfoQ AI/ML/Data
GCPSeparating Orchestration and Compute for GPU‑Intensive Biotech Agents4 min read·8d ago·via Google Cloud Blog
GCPDay‑0 support for Beam inference optimization on Google Cloud with llm‑d and NVIDIA Dynamo4 min read·8d ago·via Google Cloud Blog
NVIDIAEuropean AI Compute Access Program Shifts Engineering Workflows3 min read·9d ago·via NVIDIA Blog
NVIDIADeploying NVIDIA Compute Stack Across UK Sectors: Implications for Engineers4 min read·10d ago·via NVIDIA Blog
KubernetesGPU Sharing on Kubernetes Forces Teams to Build Their Own Metrics, Rightsizing, and Guardrails4 min read·12d ago·via The New Stack
AWSDeploying Multi‑Node LLM Inference on EKS with Ray LLM Containers4 min read·12d ago·via AWS Machine Learning Blog
AWSECS auto‑repair for GPU and instance failures shifts remediation to the platform4 min read·15d ago·via The New Stack
AWSImplementing Multi‑Tenant GPU Sharing on SageMaker HyperPod with EKS4 min read·16d ago·via AWS Machine Learning Blog
NVIDIAAI‑enabled breast imaging pipelines: architecture and ops implications for cloud engineers5 min read·19d ago·via NVIDIA Blog
NVIDIAGPU‑Accelerated Inference with GPT‑6 Astra Ultrafast: What Engineers Need to Know4 min read·23d ago·via NVIDIA Blog
KubernetesDeploying AI Workloads on DGX Spark with Kubernetes and Dynamic Resource Allocation3 min read·1mo ago·via CNCF
NVIDIAGPU‑Accelerated ROS 5.0 Brings Agentic Workflows and Ubuntu 24.04 Support3 min read·1mo ago·via NVIDIA Blog
NVIDIAOn‑prem AI factories reshape deployment pipelines for engineers in Egypt and Africa4 min read·1mo ago·via NVIDIA Blog
NVIDIADynamic Power Allocation in AI Factories: How NVIDIA DSX Flex and MaxLPS Boost Token Throughput4 min read·1mo ago·via NVIDIA Blog
AWSIntegrating NVRx Fault‑Tolerance into PyTorch FSDP on Amazon EKS Reduces Training Downtime4 min read·1mo ago·via AWS Machine Learning Blog
RedhatInference cost now eclipses training spend for fine‑tuned LLMs2 min read·1mo ago·via Red Hat Blog
RedhatDesigning Multi‑Tenant GPU Cloud Services: From Supply Shortage to Service Delivery2 min read·1mo ago·via Red Hat Blog
GCPDataflow adds native pause/resume and Blackwell RTX PRO 6000 GPU support for batch AI workloads4 min read·1mo ago·via Google Cloud Blog
KubernetesBeyond the GPU: Managing Heterogeneous Resources for AI Workloads on Kubernetes4 min read·1mo ago·via CNCF
KubernetesManaging GPU‑Intensive AI Workloads on Kubernetes: New Operational Realities3 min read·1mo ago·via CNCF
AWSGPU Data Streaming from S3 with Vortex: Zero‑Copy Columnar Format Cuts Load Latency2 min read·1mo ago·via InfoQ AI/ML/Data
AWSCutting GPU Inference Cold‑Start Times on EKS with Simple Config Changes4 min read·1mo ago·via The New Stack
KubernetesProactive GPU Autoscaling on Kubernetes Using a Predictive Controller3 min read·1mo ago·via CNCF
AI EngineeringEnterprise AI Infrastructure: The DevOps Challenge for Kubernetes and GPU Orchestration6 min read·4mo ago·via DEVOPS
KubernetesGPU Autoscaling on Kubernetes with KEDA: Building an External Scaler5 min read·5mo ago·via CNCF
LinuxDesigning Multitenant GPU Infrastructure: Isolation Strategies for Shared Accelerators5 min read·5mo ago·via REDHAT
AI EngineeringLocal LLM Benchmark 2026: Comparing Open-Source Models for AI Inference on Consumer Hardware12 min read·7mo ago·via CloudNinjas