Cloud Computing

Integrating context from tools and data sources into LLMs can be challenging, which impacts ease-of-use in the development of AI agents. To address this challenge, Anthropic introduced the Model Context Protocol (MCP), which standardizes how applications provide context to LLMs. Imagine you want to build an MCP server for your API to make it available

Know Your Customer (KYC) processes are foundational to any Financial Services Institution’s (FSI) regulatory compliance practices and risk mitigation strategies. KYC is how financial institutions verify the identity of their customers and assess associated risks. But as customers expect instant approvals, FSIs face pressure to streamline their manual, time-consuming and error-prone KYC processes.  The good

We’re excited to announce the general availability of our next-generation C4D virtual machine family. Powered by 5th Gen AMD EPYC processors (Turin) paired with Google Titanium’s latest advancements, C4D provides customers with meaningful performance improvements — up to 80% higher throughput for web serving and 30% better performance for general computing workloads compared to the

Credentials are an essential part of modern software development and deployment, granting bearers privileged access to systems, applications, and data. However, credential-related vulnerabilities remain the predominant entry point exploited by threat actors in the cloud. Stolen credentials “are now the second-highest initial infection vector, making up 16% of our investigations,” said Jurgen Kutscher, vice-president, Mandiant

As foundation model training infrastructure scales to tens of thousands of accelerators, efficient utilization of those high-value resources becomes paramount. In particular, as the cluster gets larger, hardware failures become more frequent (~ few hours) and recovery from previously saved checkpoints becomes slower (up to 30 minutes), significantly slowing down training progress. A checkpoint represents

As AI moves from promising experiments to landing core business impact, the most critical question is no longer “What can it do?” but “How well does it do it?”.  Ensuring the quality, reliability, and safety of your AI applications is a strategic imperative. To guide you, evaluation must be your North Star—a constant process that