ASICs

topic on 15 shows · 14 statements across 13 episodes · said 23 times in 14 episodes since 2017

Acquired 6 20VC 6 How I Built This 4 Founder's Journal 2 the MAD Podcast 2 Startups For the Rest of Us 1 the Knowledge Project 1 BigDeal 1 In Depth Another Podcast BG2 Pod Latent Space Invest Like the Best the a16z Podcast Big Technology

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Acquired 620VC 6How I Built This 4Founder's Journal 2the MAD Podcast 2Startups For the Rest of Us 1BigDeal 1the Knowledge Project 1

2025 7 mentions in 3 episodes 2 per episode
2024 2 mentions in 2 episodes 1 per episode
2023 8 mentions in 4 episodes 2 per episode
2022 3 mentions in 2 episodes 2 per episode
2020 1 mention in 1 episode
2019 1 mention in 1 episode
2017 1 mention in 1 episode

every mention on every show, scene by scene, with the transcript →

14 statements about ASICs, every show

Patel: RL Simulation Environments Run on CPUs, Not GPUs or ASICs
“So the environments can get more and more complex, and those environments run on CPUs. They don't run on GPUs. They don't run on ASICs. The ASICs run the model,”
Dylan Patel Apr 23, 2026 ▶ 38:44 The Supply and Demand of AI Tokens | Dylan Patel Interview · Invest Like The Best
20VC Opinion
Marolf: Asics focuses more on authentic product than competing sportswear brands
“I think Asics is talking much more true product itself than many other brands that we have in our space.”
Gérald Marolf Dec 19, 2025 ▶ 30:09 20Product: On Running's CPO on How to Create Emotion Through Product | Why 99% of Products Fail and How to Create Cults Around Products | The Biggest Product Mistakes On Have Made & Lessons Learned with Gérald Marolf
IN DEPTH Disclosure
Varanasi: Meter plans to develop proprietary ASICs and custom chips
“Over time, we can go even further down the stack where we should go make our own ASICs, our own chips.”
Anil Varanasi Dec 10, 2025 ▶ 5:17 Building Meter for decades, not an exit | Anil Varanasi (Co-founder and CEO)
INVEST LIKE THE BEST Prediction Not checkable as stated
Nvidia's Rubin architecture will significantly widen its lead over custom ASICs
“And then when Rubin comes out, we'll know the gap. The gap is going to expand significant versus TPUs versus TPUs and all other ASICs.”
Gavin Baker Dec 9, 2025 ▶ 15:53 GPUs, TPUs, & The Economics of AI Explained | Gavin Baker Interview · Invest Like The Best
INVEST LIKE THE BEST Prediction Not checkable as stated
Few custom AI ASICs beyond Amazon Trainium and Google TPU will succeed
“I will be surprised if there are a lot of ASICs other than Tranium and TPU.”
Gavin Baker Dec 9, 2025 ▶ 21:09 GPUs, TPUs, & The Economics of AI Explained | Gavin Baker Interview · Invest Like The Best
BG2 Insight
Huang: Operators will reject free AI chips to maximize performance per watt
“So even if they gave it to you for free, you only have two gigawatts to work with, your opportunity cost is so insanely high, you would always choose the best perf per watt.”
Jensen Huang Sep 26, 2025 ▶ 52:37 NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner · Bg2 Pod
Taskaya: Custom ASICs do not make sense given low Nvidia GEMM overhead
“What is the overhead of an NVIDIA GAM instruction, right? It's like 16%. So like you're essentially buying a, Matrix multiplication machine. So, like, it doesn't really make sense to specialize it that much.”
Batuhan Taskaya Sep 8, 2025 ▶ 25:25 A Technical History of Generative Media
BIG TECHNOLOGY Prediction Held up
Dwarkesh: Hyperscaler ASICs will come online from all major providers
“And so that just sets up a huge incentive for all these hyperscalers to build their own ASICs, their own accelerators that replace the Nvidia ones. Which I think will come online over the next few years from all of them.”
Dwarkesh Patel Jun 18, 2025 ▶ 47:57 Dwarkesh Patel: AI Continuous Improvement, Intelligence Explosion, Memory, Frontier Lab Competition
Conrad: Custom chips make sense for inference, not training experimentation
“It only works if you really know which chip you're going to do. If you don't, then it's a little harder. So it makes, in my head, it makes more sense for inference where you've already established it, but for training there's so much, like, experimentation.”
Evan Conrad Apr 11, 2025 ▶ 20:17 SF Compute: Commoditizing Compute
20VC Insight
Dave Powers: Running shoe brand loyalty is shifting as consumers try disruptors
“Well, traditionally, they're very loyal, you know, and it's hard to get a consumer that was running in ASICs for 10 years or Saucony for 10 years to switch brands. I think that's changing dramatically. I think people are open to trying different brands now. An…”
Dave Powers Dec 22, 2023 ▶ 27:05 Dave Powers: The Meteoric Rise of Hoka Running | E1098 · 20VC with Harry Stebbings
FOUNDER'S JOURNAL Assertion Supported
Hoka became triathletes' most-worn shoe brand starting in 2017
“After ultra marathoners came triathletes which Hoka became the most worn shoe ahead of Asics, Nike, and Saucony beginning in 2017.”
Alex Lieberman Aug 25, 2023 ▶ 9:03 How Hoka Ran Away With The Competition
Goldberg: Tailoring custom ASICs to software stacks yields superior performance gains
“Chips exist to run software, and if you control your software stack, building a chip that's tailor-made, a special purpose chip, we'll call them ASIC, tailor-made for that software stack, you can get performance gains over general purpose compute, like a sort …”
Jay Goldberg Dec 19, 2022 ▶ 7:54 Why are chips interesting again?
Tony Hsieh: I only own two pairs of shoes
“Right now I'm wearing black Asics, and then I have a pair of flip-flops that I wear, and those are the only two pairs.”
Tony Hsieh Nov 30, 2020 ▶ 2:46 Remembering Tony Hsieh of Zappos
a16z Insight
Fish: Proof of Replication balances ASIC barriers with commoditized storage access
“So I think that's sort of where, Where proof of replication falls. Somewhere in between something which has high, you know, barriers of entry, such as something which requires ASICs you know, versus something that is just so convenient for Amazon to do and par…”
Ben Fish Apr 19, 2019 ▶ 44:18 Towards a Decentralized Storage Network for the Blockchain Computer

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