Show: Training Data · Publisher: Sequoia Capital · Host: Sonya Huang, Pat Grady
Episode URL: https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI5059499822.mp3
Publish date: 2025-10-28
Duration: NAs
Default source credibility: HIGH — Sequoia partners interview frontier-lab founders + F500 AI buyers. VC-hosted — portfolio-company framing on recommendations; named guest metrics stay HIGH. Peer-tier to No Priors in quality.
- NVIDIA’s success is tied to expanding the market rather than competing with others, emphasizing a win-win culture.
- The Mellanox acquisition enabled NVIDIA to scale GPU performance beyond single chips to large clusters, crucial for AI workloads.
- AI workloads demand exponential performance growth, necessitating innovations in networking and software to manage large-scale GPU clusters.
Extracted quotes
| # | Credibility | Speaker | Org | Timestamp | Topic | Quote |
|---|---|---|---|---|---|---|
| 1 | HIGH | Michael Kagan (CTO) | NVIDIA | 03:45 | 01-ai-native-landscape | The requirements for performance started to grow up at a much higher coefficient. The models started to go up in terms of size and capacity, 2x every three months, which requires now 10x or 16x a year performance growth versus old school of 2x twice every other year. |
| 2 | HIGH | Michael Kagan (CTO) | NVIDIA | 14:21 | 01-ai-native-landscape | We are the fastest growing Ethernet business, you know, let alone NVLink and InfiniBand. But just Ethernet business is the fastest growing business ever. |
| 3 | HIGH | Michael Kagan (CTO) | NVIDIA | 38:17 | 01-ai-native-landscape | The slope is somewhere in the range of 10x or a few orders of magnitude a year. And that’s what we are doing, by the way, now. Since about two or three years ago, we accelerated our product introduction from every other year to every year. |
Per-quote detail
1. Michael Kagan — NVIDIA (03:45)
The requirements for performance started to grow up at a much higher coefficient. The models started to go up in terms of size and capacity, 2x every three months, which requires now 10x or 16x a year performance growth versus old school of 2x twice every other year.
- Stat: Models grow 2x every three months, requiring 10x-16x annual performance growth.
- Credibility: HIGH — Specific metric with denominator and unscripted interview.
- Topic tag:
01-ai-native-landscape
2. Michael Kagan — NVIDIA (14:21)
We are the fastest growing Ethernet business, you know, let alone NVLink and InfiniBand. But just Ethernet business is the fastest growing business ever.
- Stat: NVIDIA’s Ethernet business is the fastest growing.
- Credibility: HIGH — Specific claim about growth and unscripted interview.
- Topic tag:
01-ai-native-landscape
3. Michael Kagan — NVIDIA (38:17)
The slope is somewhere in the range of 10x or a few orders of magnitude a year. And that’s what we are doing, by the way, now. Since about two or three years ago, we accelerated our product introduction from every other year to every year.
- Stat: NVIDIA’s product performance grows 10x or more annually.
- Credibility: HIGH — Specific metric with unscripted interview.
- Topic tag:
01-ai-native-landscape
Extracted 2026-04-14T18:12:20 via scripts/podcast_mine.py (MLX mlx-community/Qwen2.5-32B-Instruct-4bit).