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
H4D VMs, now GA, deliver exceptional performance and scaling for HPC workloads Read More »
In alignment with our V4.0 GA announcement and SDKs and Tools Maintenance Policy, version 3 of the AWS SDK for .NET will enter maintenance mode on March 1, 2026, and reach end-of-support on June 1, 2026. Starting March 1, 2026 we will stop adding regular updates to V3 and will only provide security updates until
AWS SDK for .NET V3 Maintenance Mode Announcement Read More »
Last year, Google Cloud unveiled the Autonomous Network Operations framework, a comprehensive blueprint designed to help Communication Service Providers (CSPs) transition from manual management to zero-touch operations. As part of that launch, we introduced a RAN AI agent as a Proof-of-Value (PoV) asset, demonstrating how generative AI could autonomously optimize radio access networks (RAN). Today,
Scaling the autonomous network: Introducing the Data Steward and Core Network Agents Read More »
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 rise of the autonomous network: How GraphML is redefining telecom operations Read More »
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
The AI-native core: Highly resilient telco architecture using Google Kubernetes Engine Read More »
To achieve Level 4 and Level 5 autonomous network operations (ANO), the telecommunications sector is increasingly turning to AI to build self-healing, self-optimizing networks capable of predictive maintenance. However there is a significant roadblock: AI is only as good as the data fueling it. While the industry fixates on AI agents, large language models (LLMs),
In this sponsored episode, Ryan chats with Mark Cavage, President and COO of Docker, joins the show to dive into hardened containers and agent sandboxes.
AI-assisted coding needs more than vibes; it needs containers and sandboxes Read More »
Your agent is only as good as your data grounding. If your data is messy, your agent will be highly confident but possibly still hallucinating. In 2026, your Data Strategy and your AI Strategy are now the same thing. You cannot have one without the other. This series, “Data Strategy = AI Strategy,” focuses on
AWS and cloud computing changed how businesses operate. Organizations now store, process, and manage data in the cloud at scale while treating compute resources as a utility. Cloud architecture requires weighing trade-offs to find solutions that fit your specific requirements. Failing to follow best practices in cloud architecture design can lead to undesirable results and
