AI Infrastructure & Performance
Covers the hardware and software infrastructure essential for AI, including TPUs, GPUs, and NVIDIA technologies, focusing on optimizing inference, model deployment, and achieving scalable, high-performance AI.
Viral Moments
11
AI Auto-Scaling Magic
AI for every device
AI delivering value?
Best of both worlds
Inference is Key
TensorRT LLM Hack
The Inference Bible
Optimize tokens, save capacity
Video AI, redefined
Training vs. Inference
Vera Rubin & Blackwell
Key Quotes
2
โTo me, what inference means is being able to actually deliver on the promise of AI applications.โ
โGoogle's the only company that has a chip, a cloud, and a model. All integrated.โ
Chapters
28
Articles
2
At a recent conference, NVIDIA and Baseten leaders detailed their strategic partnership with Google Cloud, focusing on groundbreaking advancements in AI inference. The collaboration promises to deliver unparalleled speed, reliability, and scalability for AI applications, leveraging next-generation hardware and sophisticated software optimizations.
At Google Cloud Next, Acquired podcast hosts Ben Gilbert and David Rosenthal offered a compelling analysis of Google's AI advancements and the dramatic evolution of its cloud division. Their insights highlighted a pivotal moment for artificial intelligence, marked by significant hardware innovations and strategic enterprise shifts.
