Announcing MCP Toolbox Java SDK v1.0: Agentic data access for the enterprise
cloud.google.com·6d ago
Cloud & Infrastructure
Google Cloud Blog·Jul 31·5 min read
What’s new in AI infrastructure and orchestration this month
TL;DR
Google Cloud has launched several new AI infrastructure products, including Google Cloud Managed Lustre and C4N optimized VMs, enhancing performance and scalability for AI applications.
✦ Why It Matters
Evaluate your current infrastructure and consider upgrading to Google Cloud's new offerings for enhanced performance.
Key Takeaways
- Explore Google Cloud Managed Lustre for scalable storage solutions.
- Utilize C4N VMs to eliminate data-transfer bottlenecks.
- Scale GKE clusters to 15,000 nodes for large AI workloads.
- Implement k8s-aibom for enhanced AI supply chain security.
Full Summary
Google Cloud continues to enhance its AI infrastructure with the introduction of Google Cloud Managed Lustre, now generally available with four performance tiers, offering throughput from 125 MB/s to 1000 MB/s per TiB and scalable up to 8 PB. Additionally, the C4N VM series, optimized for network and block storage, delivers impressive performance with 400 Gbps bandwidth and 25 GiB/s block storage throughput.
New features like GKE Dataplane V2 allow clusters to scale to 15,000 nodes while enforcing network policies, crucial for large enterprises. The introduction of co-operative time-slicing in llm-d improves resource utilization for reinforcement learning workloads, increasing accelerator duty cycles significantly.
Furthermore, the open-sourced k8s-aibom tool enhances AI supply chain security by monitoring Kubernetes clusters for AI runtimes. These advancements collectively support the evolving needs of AI applications, driving efficiency and performance at scale.