4 results
JULY 6, 2026 / AI
Distributed AI training is notoriously fragile because losing a single machine typically crashes the entire multi-node job, forcing a time-consuming, full-workload infrastructure restart. To address this, Google’s JAX ecosystem utilizes elastic training via Pathways, which converts a hardware failure into a catchable Python exception so the running process can survive. When an unplanned failure occurs, the system automatically replaces only the broken worker, restores the last viable checkpoint from Cloud Storage, and resumes training in place—minimizing total downtime to under two minutes without ever restarting the main controller process.
APRIL 29, 2025 / Cloud
Llama 4, Meta's advanced large language model, is now generally available as a fully managed API on Vertex AI, simplifying deployment and management. The Llama 3.3 70B managed API is also generally available, offering users greater flexibility.
SEPT. 26, 2024 / AI
Vertex AI Prompt Optimizer, a new managed automated prompt engineering service, can help save time and effort in prompt engineering while ensuring performing prompts ready for your generative AI applications.
JULY 9, 2024 / Gemma
Use Gemma Supervised tuning on Ray on Vertex AI to train and serve machine learning models efficiently and effectively.
