← Front page

The Twenty Minute VC (20VC) · Saturday, September 5, 2026

Speechify's Data Center Strategy: Co-located Memory for Large-Scale Training

Cliff Weitzman elaborated on why Speechify chooses to own its GPU infrastructure, emphasizing the necessity of co-located memory with a large cluster of GPUs for effective large-scale training. He stated that renting from cloud providers doesn't offer the required memory accessibility for their specific training needs.

personCliff WeitzmancompanySpeechifycompanyGooglecompanyMicrosoftcompanyBaseten

The tape

2 quotes
The other big part is actually if you want to do large scale training like we do. You need the memory to be co-located with a large cluster of GPUs.
Cliff Weitzman
I can't just rent from Google or Microsoft or even Baseten and run the size of training that I want because I need a gigantic memory card next to it with all of my data that all the GPUs are accessing.
Cliff Weitzman
Heard on The Twenty Minute VC (20VC) — “20VC: How to Build Your Own Data Center & Why Every Startup Should Do It | How ElevenLabs Leapfrogged Us: What I Learned | The AI Talent War: How Your Hiring Process Needs to Change with Cliff Weitzman, Speechify, published Saturday, September 5, 2026. Heardvine summarizes and quotes with attribution and timestamps, and links to the original everywhere.
Transcribed via Gemini audio transcription · $0.05
Speechify's Data Center Strategy: Co-located Memory for Large-Scale Training — Heardvine