Cloud Computing

When platform engineers, AI Infrastructure leads and developers think about autoscaling workloads running on Kubernetes, their goal is straightforward: get the capacity they need, when they need it, at the best price.  However, while scaling on CPU and memory is simple enough, scaling on application signals like queue depth or active requests is not. Historically,

Creating precise, high-quality images often involves endless trial and error. You need a model that actually understands what you’re asking for.  Built on the Gemini 3 family of models, Nano Banana models apply deep reasoning capabilities to fully understand your prompt before generating an image. So we spent weeks testing Nano Banana 2 and Nano

Written by: Casey Charrier, James Sadowski, Zander Work, Clement Lecigne, Benoît Sevens, Fred Plan Executive Summary Google Threat Intelligence Group (GTIG) tracked 90 zero-day vulnerabilities exploited in-the-wild in 2025. Although that volume of zero-days is lower than the record high observed in 2023 (100), it is higher than 2024’s count (78) and remained within the

A car you can talk to has been a longstanding dream, whether as the basis for television shows or more recent smartphone integrations.  One way of achieving better, more natural voice commands is by incorporating AI foundation models into vehicle systems, which offer more intelligence than traditional voice commands. AI foundation models can connect everyday

Today, we’re announcing  the general availability of H4D VMs, our latest high performance computing (HPC)-optimized VM, powered by the 5th Generation AMD EPYC™ processors. H4D VMs deliver exceptional performance, scalability, and value for industries like manufacturing, health care and life sciences, weather forecasting, and electronic design automation (EDA). H4D supports orchestration via Cluster Toolkit with

The complexity of modern telecommunications is exploding. Communication Service Providers (CSPs) are no longer managing static, isolated networks; they are orchestrating massive, multi-layer ecosystems that span 5G radio access, transport fiber, edge compute, and centralized cloud cores. To manage this complexity, CSPs are building autonomous networks — self-managing telecommunications networks that use AI, machine learning,

The telecommunications industry has reached a critical tipping point. Traditional, on-premises-heavy data center models are struggling under the weight of escalating infrastructure costs and an under utilization due to availability and compliance requirements. But the AI era demands exponential scale and beyond-nines reliability. The question for operators is no longer if they should modernize, but