Siri Varma Vegiraju is an expert in healthcare, cloud computing, and security. Currently, he focuses on securing Azure Cloud workloads, leveraging his extensive experience in distributed systems and real-time streaming solutions. Prior to his current role, Siri contributed significantly to cloud observability platforms and multi-cloud environments. He has demonstrated his expertise through notable achievements in various competitive events and as a judge and technical reviewer for leading publications. Siri frequently speaks at industry conferences on topics related to Cloud and Security and holds a Masters Degree from University of Texas, Arlington with a specialization in Computer Science.
Configuring NVIDIA NeMo Agent Toolkit With Docker Model Runner
Enhancing AI Agent reliability through advanced observability using NVIDIA NeMo and Docker Model Runner (DMR) ...
Build and Orchestrate Agents Using Docker cagent
Docker's cagent is a new open-source framework that simplifies the deployment of AI agents, allowing users to create everything from basic Hello World agents to complex multi-agent workflows using a declarative YAML ...
Building Cloud-Native Agentic Systems With Dapr Agents
Learn how Dapr agents enable building secure, scalable, cloud-native AI systems with seamless Kubernetes integration, fault recovery, and agentic workflows ...
Open Source Tooling to Run Large Language Models Without GPUs Locally
The best way to prototype is to start by running the models locally. In this article, we will explore the various options available for running models locally, along with the trade-offs involved ...
