DEEPSEEK
Ray Kubectl Plugin Simplifies Kubernetes Cluster Management
The new Ray kubectl plugin, now in Beta, enhances the management of Ray clusters on Kubernetes, offering improved commands and ease of use for AI developers.
KubeRay v1.3.0 Launch: Enhancing Observability and Reliability for Kubernetes
Anyscale releases KubeRay v1.3.0, bringing significant improvements in observability and reliability for Ray on Kubernetes, addressing key challenges in scalability and usability.
Enhancing Kubernetes with NVIDIA's NIM Microservices Autoscaling
Explore NVIDIA's approach to horizontal autoscaling of NIM microservices on Kubernetes, utilizing custom metrics for efficient resource management.
NVIDIA Collaborates with Cloud-Native Community to Enhance AI and ML
NVIDIA partners with the Cloud Native Computing Foundation to bolster AI and ML through open-source projects, emphasizing Kubernetes enhancements and community engagement.
Enhancing Large Language Models with NVIDIA Triton and TensorRT-LLM on Kubernetes
Explore NVIDIA's methodology for optimizing large language models using Triton and TensorRT-LLM, while deploying and scaling these models efficiently in a Kubernetes environment.
Enhancing AI Inference with NVIDIA NIM and Google Kubernetes Engine
NVIDIA collaborates with Google Cloud to integrate NVIDIA NIM with Google Kubernetes Engine, offering scalable AI inference solutions through Google Cloud Marketplace.
NVIDIA Unveils Cloud Native Stack to Enhance AI Application Development
NVIDIA introduces the Cloud Native Stack, a comprehensive solution aimed at simplifying AI application development by integrating Kubernetes and GPU acceleration for seamless deployment and management.