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NVIDIA Grove Simplifies AI Inference on Kubernetes
NVIDIA introduces Grove, a Kubernetes API that streamlines complex AI inference workloads, enhancing scalability and orchestration of multi-component systems.
Kubernetes Embraces Multi-Node NVLink for Enhanced AI Workloads
NVIDIA's GB200 NVL72 introduces ComputeDomains for efficient AI workload management on Kubernetes, facilitating secure, high-bandwidth GPU connectivity across nodes.
NVIDIA Enhances AI Inference with Dynamo and Kubernetes Integration
NVIDIA's Dynamo platform now integrates with Kubernetes to streamline AI inference management, offering improved performance and reduced costs for data centers, according to NVIDIA's latest updates.
Ray Enhances Scheduling with New Label Selectors
Ray introduces label selectors, enhancing scheduling capabilities for developers, allowing more precise workload placement on nodes. The feature is a collaboration with Google Kubernetes Engine.
NVIDIA Enhances AI Scalability with NIM Operator 3.0.0 Release
NVIDIA's NIM Operator 3.0.0 introduces advanced features for scalable AI inference, enhancing Kubernetes deployments with multi-LLM and multi-node capabilities, and efficient GPU utilization.
NVIDIA Boosts AI Factories With DPU-Enhanced Kubernetes Service Proxy
NVIDIA advances AI applications with DPU-accelerated service proxies for Kubernetes, enhancing performance, efficiency, and security for AI clouds according to NVIDIA.
GitHub Rolls Out Actions Runner Controller 0.12.0 with Key Enhancements
GitHub's Actions Runner Controller 0.12.0 introduces support for OpenShift, vault-based secrets, and DinD improvements, enhancing security and reliability for developers.
Exploring the Open Source AI Compute Tech Stack: Kubernetes, Ray, PyTorch, and vLLM
Discover the components of a modern open-source AI compute tech stack, including Kubernetes, Ray, PyTorch, and vLLM, as utilized by leading companies like Pinterest, Uber, and Roblox.
NVIDIA Enhances Dynamo with GPU Autoscaling and Kubernetes Automation
NVIDIA introduces GPU autoscaling, Kubernetes automation, and networking optimizations in the latest v0.2 release of Dynamo, enhancing the deployment and efficiency of AI models.
Anyscale Expands AI Compute Capabilities with New Multi-Cloud and AKS Support
Anyscale introduces enhanced AI compute solutions with support for Azure Kubernetes Service, Global Resource Scheduler, and upcoming multi-deployment management, optimizing resource utilization and scaling across cloud platforms.