TorchTPU is now open source: Run native PyTorch on TPUs
cloud.google.com·6d ago
Cloud & Infrastructure
Google Cloud Blog·5d ago·5 min read
Google Cloud and NVIDIA expand co-engineering collaboration to scale infrastructure for the agentic era
TL;DR
Google Cloud and NVIDIA are enhancing their collaboration to develop infrastructure that supports advanced agentic AI workflows, addressing the limitations of traditional systems. This partnership aims to provide enterprises with the flexibility and control needed for effective AI deployment.
✦ Why It Matters
Evaluate your current infrastructure to ensure it can support advanced AI workflows and maintain data sovereignty.
Key Takeaways
- Explore A5X instances for enhanced AI model performance.
- Utilize Virgo Network for extreme scaling of GPU clusters.
- Implement Managed Lustre for efficient data handling.
- Adopt Sovereign AI for secure, compliant workloads.
How It Works
The AI Hypercomputer integrates compute, storage, and networking into a single system, optimizing performance for agentic workflows. A5X instances leverage NVIDIA's Vera Rubin platform to provide GPU acceleration, while the Virgo Network enables seamless scaling across multiple sites.
Managed Lustre and GPUDirect Storage facilitate direct data access to GPUs, bypassing traditional bottlenecks, and KV caching enhances memory management for complex tasks.