Build for the next wave of AI with purpose-built TPUs

As generative AI models grow in complexity, the computational demands for both training and inference are pushing traditional systems to their limit. Join Powering AI inference at scale: a deep dive into Ironwood TPUs to learn about the specialized hardware and software engineered to solve these challenges.

We will cover how to:

• Accelerate the entire AI workflow: see how Ironwood's architecture is purpose-built for both massive-scale training and high-throughput production serving to gain a strategic advantage
• Solve for inference at scale: understand Ironwood's inference-first design, engineered to remove technical bottlenecks for your most complex, high-volume models
• Enable sustainable scale: learn how a 2x improvement in performance-per-watt addresses the economic challenges of large-scale AI, maximizing your infrastructure investment
• Integrate seamlessly with your ecosystem: discover how the co-designed software stack makes Ironwood's power accessible to your teams' existing workflows in JAX, PyTorch, and vLLM