Google launches TPU monitoring library to boost AI infrastructure efficiency
Additionally, the library comes with High Level Operation (HLO) Execution Time Distribution Metrics, offering detailed timing breakdowns of compiled operations, and HLO Queue Size, which monitors execution pipeline congestion. However, Google isn’t the only AI infrastructure provider that is releasing tools to optimize resources (CPU accelerators, GPUs) performance and usage. Rival hyperscaler AWS has a […]
Read MoreAI’s not-so-secret agents
The buzz around agentic AI is getting louder, and this month’s picks showcase the breadth of what is possible—or in some cases, not yet possible. Spin up an AI agent of your own with Google’s new Agent Development Kit, take notes on how Deutsche Telekom scaled its agent platforms for enterprise deployment, and see for […]
Read MoreGitLab introduces AI agent-enabled devsecops platform
The GitLab Duo Agent Platform currently includes a chat agent that performs general development tasks, such as reading issues or code diffs, and a software development agent that works on assigned tasks by creating code changes in virtual development environments and opening merge requests for review. These agents are currently in beta. GitLab said it […]
Read MoreOracle launches MCP server to power context-aware AI agents for enterprise data
Oracle Databases are widely adopted, and the new MCP server will accelerate enterprise AI integration by allowing enterprises to automate Oracle Database interactions based on natural language queries that activate agents and their supporting large language models (LLMs), Dai added. Mukherjee said the new MCP server can be used in the BFSI sector for retrieving […]
Read MoreWhat is the internet of medical things (IoMT)?
The internet of medical things (IoMT) is the collection of medical devices and applications that connect to healthcare IT systems through online computer networks. IoMT improves patient monitoring and care processes while also increasing operational efficiency and reducing costs. In practice, IoMT in healthcare can include the following: Using remote patient monitoring (RPM) for people […]
Read MoreMCP server announced for JFrog supply chain management platform
As Curran explained, MCP is more focused on how to link an agent to tools and data, while A2A is focused on how to build multi-agent orchestrations and workflows. A2A is supported by Atlassian, Box, Cohere, Intuit, Langchain, MongoDB, PayPal, Salesforce, SAP, ServiceNow, UKG and Workday, as well as by service providers such as Accenture, […]
Read More10 top design principles of IoT
With IoT, everyday items become smart allies, making life and work easier and more connected. And it’s not just the devices themselves doing that. It’s a combination of IoT devices and the applications and systems that connect to them. Good IoT design aims to create smart systems that are easy to use, work well, align […]
Read MoreAWS looks to cut storage costs for LLM embeddings with Amazon S3 Vectors
In contrast, AWS is proposing that enterprises use a new type of S3 bucket purpose-built for storing and querying vector data via a dedicated set of APIs, Amazon S3 Vector, that it says eliminates the need for provisioning infrastructure for a vector database. Raya Mukherjee, senior analyst at Everest Group, said Amazon S3 or any […]
Read MoreTop 7 must-have IoT skills to boost your career
Devices of all types in every environment — including mobile phones, automobiles and industrial equipment — are now connecting to the internet. By 2034, Statista predicts the total number of connected devices will reach 40.6 billion — more than double the 19.8 billion devices in 2025. As a result, engineers, developers and other IoT professionals […]
Read MoreDoes public cloud AI cost too much?
Initially, the promise of the cloud is compelling, offering immediate scalability, rapid provisioning, and managed services. However, as organizations transition from pilots and proofs of concept to production-grade, steady-state AI, cloud costs can escalate rapidly, sometimes far exceeding initial forecasts. Resource-intensive AI training or inference jobs in the cloud can trigger unexpected, fluctuating bills, often […]
Read More