Kohl Terpening

Some things about me:

Based in Tampa, Florida
Enterprise sales, focused on AI infrastructure
Obsessed with GPU performance, storage architecture, and inference systems
Fascinated by the gap between impressive models and the infrastructure required to run them
Likes building practical AI workflows for prospect research, messaging, and account planning
Sharing what I'm learning about AI infrastructure, enterprise selling, and robotics as I go
Reading Greenlights by Matthew McConaughey
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
Enthusiasm is an unfair advantage
- It's easier to move fast on things that actually excite you
- Energy is a necessary input for progress
Speed is a learning strategy
- More contact with reality per unit time
- A week is 2% of the year
You can do more than you think
- Most limits are invisible orthodoxy, not physics

Some things I'm thinking about: