Varun Varde | @varunvarde | CEO at VaST ITES INC
CEO & DevOps leader with 20 years driving cloud innovation, CI/CD excellence, and scalable infrastructure worldwide.
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The hardest part of building AI systems today is no longer getting access to a capable model. It is knowing how to choose, validate, optimize, and operate the right model across the full lifecycle of a real application. Take a retrieval-augmented generation (RAG)-based customer support copilot or a tool-calling
June 2nd, 2026 1 reaction CVP & Distinguished Engineer Developers building agent fleets keep hitting the same pattern: the agent logic is ready, but the knowledge infrastructure underneath is complex to do well. Getting to production means solving for stability, scale, data access, answer quality, security, and content ingestion all
As organizations increasingly embrace the agentic era for AI, customer demands for compute are reshaping the architecture of cloud infrastructure as we know it. Today at Microsoft Build 2026, we are announcing the early access preview for Azure Cobalt 200 Arm-based Virtual Machines (VMs), designed from the ground up for
AI is driving a fundamental shift in how work gets done and how applications are built. As the 2026 Microsoft Work Trend Index Report highlights, a growing share of workers are moving beyond asking questions to handing off entire tasks and orchestrating multi-agent systems. This shift introduces a new constraint.
