Cloud Costs Match Payroll
Share
Max discusses the significant infrastructure costs of running an AI writing assistant service and potential solutions through on-device processing. The core business challenge is managing processing costs while serving millions of free users.
Key Points:
-
Current Infrastructure Costs:
- Cloud processing costs comparable to payroll costs (with ~800 employees)
- Amazon Web Services is primary provider
- Processing costs particularly challenging for free users who aren't monetized
-
On-Device Processing Solution:
- Move calculations and suggestions to user devices (phones/laptops)
- Benefits:
- Better user experience
- Lower latency
- Higher performance
- Enhanced privacy
- Reduced cloud computing costs
- No server processing required for basic functions
-
Business Model Challenge:
- Tens of millions of free users generate costs without revenue
- No alternative monetization (no ads, no data selling)
- Cost burden especially high in developing countries where premium upgrades are less likely
-
Infrastructure Strategy:
- Mix of cloud and in-house solutions
- Some model training done in-house
- Regular evaluation of bringing services in-house vs cloud
- Amazon remains primary but not exclusive infrastructure provider
25:54 - 27:50
Full video: 30:53ML
Max Lytvyn
Co-founded Grammarly, a leading writing assistance tool, in 2009. Ukrainian-born with Canadian citizenship, obtained through graduate studies in Toronto. Featured on the My First Million podcast, discussing potential IPO plans for Grammarly.
Twitter
Founder