Uploaded August 2026 | Updated September 2026, 2 weeks ago
Join the Google Cloud & NVIDIA community → https://g.dev/cloud/google-nvidia-community
Step away from basic benchmarks and learn how to build robust JAX training steps using pure functions, custom parameter trees, and highly optimized attention layers. Build high-throughput training pipelines with JAX GPU training loops optimized for enterprise neural network workloads.
This is part 2 of JAX on NVIDIA GPUs Crash Course.
Watch more JAX on NVIDIA GPUs Crash Course → https://g.dev/cloud/jax-nvidia-gpu
🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
Speakers: Ivan Nardini, Ekaterina Sirazitdinova
Products Mentioned: Google Cloud, JAX
Join the Google Cloud & NVIDIA community → https://g.dev/cloud/google-nvidia-community
Step away from basic benchmarks and learn how to build robust JAX training steps using pure functions, custom parameter trees, and highly optimized attention layers. Build high-throughput training pipelines with JAX GPU training loops optimized for enterprise neural network workloads.
This is part 2 of JAX on NVIDIA GPUs Crash Course.
Watch more JAX on NVIDIA GPUs Crash Course → https://g.dev/cloud/jax-nvidia-gpu
🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
Speakers: Ivan Nardini, Ekaterina Sirazitdinova
Products Mentioned: Google Cloud, JAX
![[Demo] High Resolution Network Telemetry: Data Center Network](https://i.ytimg.com/vi/jah2yf2rARg/mqdefault.jpg "[Demo] High Resolution Network Telemetry: Data Center Network
Read more on the blog here. → https://goo.gle/4tvHoc0
Data center and global networks built for AI era → https://goo.gle/3RFmjhY
Check out this demo that shows how our high resolution telemetry is enabling efficient network operation, improving network provisioning and reducing Mean Time to Recovery.
Speaker:
Products Mentioned: Google Cloud Network Observability")
