Priya Raman
Verified WriterSenior AI & Tech Correspondent
Covers applied AI, GPU economics, and how foundation-model shifts reshape North American product roadmaps.
Biography
Priya Raman covers the applied AI beat — model releases, inference economics, GPU supply, and the operational reality of shipping AI features inside North American startups and incumbents. She maintains an open methodology document explaining how she benchmarks model quality, latency, and cost.
Before Vanhub, Priya led a small ML platform team at a B2B SaaS unicorn, owning the migration from in-house GPU clusters to managed inference. She brings hands-on engineering context to coverage that is otherwise dominated by hype.
Priya holds an M.S. in Computer Science (ML systems) from the University of Toronto and contributes occasional code to open-source LLM tooling.
Latest stories by Priya Raman
Navigating the Make-vs-Buy AI Decision for Canadian Enterprises in 2026
As AI adoption explodes, Canadian enterprises face a critical make-vs-buy decision shaping their future. Understanding the nuances can unlock innovation and competitive advantage.
How North American Banks Are Calculating AI Payback Period — And What Every CFO Can Learn
As North American banks pour $20 billion into AI by 2025, understanding payback periods is crucial for CFOs. Navigating these investments will redefine financial landscapes in banking.
Mastering the AI ROI Calculator: Justifying Your $500k Budget
Unlocking AI's potential is a game-changer for Canadian enterprises, but a $500k investment requires careful scrutiny. Here’s how to justify that budget and realize substantial returns.
The Real Cost of Enterprise AI Deployment in 2026: What You Need to Know
As enterprises ramp up AI initiatives, understanding the full scope of deployment costs is crucial. Hidden fees, GPU expenses, and API bills could reshape budgets in 2026.
AI Tools for Mid-Market: Unpacking the Total Cost of Ownership
Understanding the Total Cost of Ownership (TCO) for AI tools is crucial for mid-market companies. Microsoft Copilot, Salesforce Einstein, and Custom GPT each offer distinct financial implications that can shape investment strategies.
Vancouver Tech Market 2026: Navigating Hiring Freezes and AI Disruption
The Vancouver tech sector is on the brink of transformation, with hiring freezes and AI advancements reshaping the landscape. As the market evolves, understanding where the jobs will be is crucial for both employers and job seekers.
AI Agent Automation: The Game-Changer for Vancouver's Small Businesses
AI agent automation is revolutionizing how small businesses in Vancouver operate, driving efficiency and boosting sales. Discover the tangible impacts, challenges, and future trends of AI adoption in the local market.
When Local LLMs Like Ollama Outperform OpenAI: A New Era for AI Economics
Local deployment of LLMs like Ollama is reshaping consumer access to AI, offering substantial cost advantages over cloud solutions. With operational costs plummeting and privacy concerns rising, the AI landscape is on the brink of transformation.
The Real Cost of Running an AI Business in 2026: GPU Pricing, Inference Bills, and Break-Even Math
As AI companies gear up for 2026, understanding operational costs is crucial for sustainability. With GPU prices stabilizing and inference costs rising, profitability hinges on smart financial strategies.
How to Build a Profitable AI SaaS With Zero VC Funding: The Bootstrapped Playbook
Building an AI SaaS business without VC funding fosters independence and sustainable growth. Here’s how to navigate this lucrative landscape successfully.
OpenAI vs Anthropic vs Google: Who's the Most Cost-Effective API for Startups in 2026?
The cost dynamics of AI APIs are set to shift dramatically by 2026, impacting B2B startups' operational budgets. With OpenAI, Anthropic, and Google vying for dominance, understanding pricing strategies is crucial.