News from the AI & ML world
DeeperML
@cloud.google.com
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Google is doubling down on empowering AI innovation with new enhancements to its Google Kubernetes Engine (GKE). Unveiled at Google Cloud Next 2025, these updates focus on simplifying AI adoption, scaling AI workloads efficiently, and optimizing AI inference performance. The enhancements aim to address the challenges of deploying generative AI by providing tools for infrastructure selection, intelligent load balancing, and cost reduction, all while leveraging the power of Kubernetes. These advancements reflect the increasing demand for AI inference capabilities as businesses seek to solve real-world problems with AI.
Google has introduced several key features to streamline AI inference on GKE, including GKE Inference Quickstart, GKE TPU serving stack, and GKE Inference Gateway. GKE Inference Quickstart helps users select the optimal accelerator, model server, and scaling configuration, providing insights into instance types, model compatibility, and performance benchmarks. The GKE TPU serving stack, with support for Tensor Processing Units (TPUs) and vLLM, enables seamless portability across GPUs and TPUs. Furthermore, the GKE Inference Gateway introduces AI-aware scaling and load balancing techniques, resulting in significant improvements in serving costs, tail latency, and throughput.
These GKE enhancements are designed to equip organizations for the agentic AI era, where multiple AI agents collaborate to accomplish tasks across various systems. Google is also offering tools like the Agent Development Kit (ADK), Agent Garden, and Agent Engine on Vertex AI to build and deploy custom agents. Google Cloud WAN, the company's internal advanced networking technology, is now available to customers, providing a high-performance, secure, and reliable network infrastructure for AI workloads. These efforts demonstrate Google Cloud's commitment to providing an open, comprehensive platform for production AI, enabling businesses to harness the power of AI with ease and efficiency.
ImgSrc: storage.googlea
References :
Google has introduced several key features to streamline AI inference on GKE, including GKE Inference Quickstart, GKE TPU serving stack, and GKE Inference Gateway. GKE Inference Quickstart helps users select the optimal accelerator, model server, and scaling configuration, providing insights into instance types, model compatibility, and performance benchmarks. The GKE TPU serving stack, with support for Tensor Processing Units (TPUs) and vLLM, enables seamless portability across GPUs and TPUs. Furthermore, the GKE Inference Gateway introduces AI-aware scaling and load balancing techniques, resulting in significant improvements in serving costs, tail latency, and throughput.
These GKE enhancements are designed to equip organizations for the agentic AI era, where multiple AI agents collaborate to accomplish tasks across various systems. Google is also offering tools like the Agent Development Kit (ADK), Agent Garden, and Agent Engine on Vertex AI to build and deploy custom agents. Google Cloud WAN, the company's internal advanced networking technology, is now available to customers, providing a high-performance, secure, and reliable network infrastructure for AI workloads. These efforts demonstrate Google Cloud's commitment to providing an open, comprehensive platform for production AI, enabling businesses to harness the power of AI with ease and efficiency.
ImgSrc: storage.googlea
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References :
- Practical Technology: Google reveals new Kubernetes and GKE enhancements for AI innovation
- AI & Machine Learning: Details the new GKE inference capabilities that reduce costs, tail latency and increase throughput.
- www.itpro.com: Google Cloud Next 2025: Targeting easy AI
- AI & Machine Learning: Kubernetes, your AI superpower: How Google Kubernetes Engine powers AI innovation
- cloud.google.com: Delivering an application-centric, AI-powered cloud for developers and operators
- Runtime: Google promotes k8s for AI; IBM says use a mainframe
Classification:
- HashTags: #Kubernetes #GKE #AIInnovation
- Company: Google
- Target: Platform teams, AI developers
- Product: GKE
- Feature: AI Workload Scaling, Intellige
- Type: AI
- Severity: Informative