Kohl Terpening

Some things about me:

• Based in Tampa, Florida
• Work in enterprise sales focused on AI infrastructure
• Spend a lot of time thinking about GPU performance, storage architecture, and inference systems
• Interested in the gap between impressive models and the infrastructure required to run them well
• Like building practical AI workflows for prospect research, messaging, and account planning
• Currently learning in public about AI infrastructure, selling, and robotics
• LinkedIn
• Email

Some things I believe:

• Technical products should be explained in terms of outcomes, not jargon
  • People care about speed, cost, simplicity, and leverage
  • Clear thinking usually beats louder positioning
• Infrastructure matters more than most people think
  • AI performance is often bottlenecked by the system around the model
  • Storage, memory, networking, and orchestration shape what is actually possible
• Going deeper creates better opportunities
  • Domain knowledge compounds
  • Being genuinely useful is a competitive advantage
• Good sales is operational empathy
  • Understand how the buyer’s world actually works
  • Help them make a better decision, faster
• Small, consistent improvement matters
  • A little better every day becomes meaningful surprisingly fast
  • Most people quit before compounding gets visible
• You can build a lot with curiosity and persistence
  • You do not need to be the most technical person in the room to make technical things useful
  • Clear taste and follow-through go a long way