engblogs

Accelerate GKE cluster autoscaling by enabling concurrent node pool auto-creation, dramatically reducing provisioning latency and boosting performance for heterogeneous and AI workloads across Autopilot and Standard clusters.

Spanner evolves into an AI-first, multi-model database that unifies operational and analytical workloads, adds graph/vector/text search with Vertex AI integration, and delivers safety, performance, and migration enhancements to power scalable, enterprise-grade AI applications.

7-Eleven migrates to Unity Catalog with UCX and system tables to centralize access control, reduce technical debt, and enable a federated, governed data platform that improves discovery, trust, and AI at scale.

A concise analysis of the regulatory, technological, and governance shifts propelling the next chapter of AI in the European Union.

Technical guide to building and evaluating a cross-regional grant program for youth wellbeing in the EMEA region, detailing eligibility, application workflows, and impact metrics.

Blueprint for reducing Salesforce Edge global rollback from hours to ten minutes for 1.5 trillion requests by deploying Kubernetes-native blue-green clusters, synchronized autoscaling, and automated traffic cutover with TCP connection draining to preserve four-nines availability.

A technical exploration of leveraging AI-powered personalized recommendations to optimize tax-deductible donations and donor engagement workflows.

VLSU presents a comprehensive framework to evaluate vision-language safety, revealing systematic joint image-text understanding failures, a fine-grained severity taxonomy across 17 patterns, and a large-scale benchmark of 8,187 samples to push robust multimodal safety research.

RA3 presents a scalable mid-training RL framework that learns compact action abstractions via a sequential variational objective to prune the action space, accelerate convergence, and boost post-training reasoning performance across code-generation and multimodal grounding tasks.

Exai Bio and Databricks demonstrate AI-powered, multimodal liquid biopsy for early cancer detection, detailing Exai-1 and Orion foundation models for cfRNA and oncRNA signals, unified on a Databricks Lakehouse with scalable compute and MLflow-based MLOps to enable reproducible, cross-cohort training across thousands of patient samples.

Databricks SQL 2025 delivers automatic, no-tuning performance gains across dashboards, pipelines, governance, and AI workloads, powered by serverless, Unity Catalog, Delta Sharing, and intelligent engine optimizations like Predictive Query Execution, while reducing storage costs with Zstandard by default.

Lambda joins the Open Compute Project Advisory Board to accelerate open, composable AI infrastructure that decouples power delivery and cooling from compute for scalable, repeatable deployments.