No Priors Ep. 93 | With Akash Systems' Felix Ejeckam and Ty Mitchell

Topics covered
Popular Clips
Questions from this episode
- Asked by 132 people
- Asked by 109 people
- Asked by 107 people
- Asked by 106 people
- Asked by 101 people
- Asked by 88 people
- Asked by 87 people
- Asked by 87 people
- Asked by 76 people
- Asked by 76 people
- Asked by 71 people
- Asked by 59 people
- Asked by 54 people
- Asked by 54 people
- Asked by 43 people
Episode Highlights
Thermal Challenges
Thermal efficiency is a critical challenge in AI data centers, impacting performance and sustainability. explains that traditional cooling methods, like liquid cooling, face reliability issues and are not sustainable long-term. Akash Systems' diamond-based technology aims to address these problems by directly targeting the heat source, offering a more efficient solution 1. highlights that heat is a pervasive issue affecting chip supply, power, and reliability, and tackling it at the material science level is essential 2.
Everything you've just described is a heat problem. And by the way, this is right. There are billions of these chips.
---
Addressing thermal challenges is crucial for the future of AI and data center operations.
AI in Cooling
AI technologies are being leveraged to enhance cooling solutions in data centers. discusses using AI as an assistant to optimize cooling processes, highlighting its potential to improve efficiency and reliability 3. The application of AI models in this domain is promising, as they can assist in managing complex systems and predicting cooling needs 4. notes the excitement around AI's applicability to material science, which could revolutionize cooling technologies 5.
The applicability of transformers, diffusion models and just effectiveness of deep learning overall as it scales is very interesting in that it applies to so many different domains.
---
AI's role in cooling technologies is a testament to its transformative potential across industries.
Future Potential
Overcoming thermal limitations could unlock unprecedented AI capabilities. envisions a future where processors run exponentially faster, enabling breakthroughs in fields like biotechnology and energy storage 6. emphasizes that AI can accelerate innovation by revisiting past research and applying it to current challenges, thus driving progress in material science and beyond 7.
I think the greatest challenge is our own imagination. I think Ty hit the nail on the head.
---
The potential of AI, once freed from thermal constraints, is limited only by our creativity and ability to ask the right questions.
Related Episodes


No Priors Ep. 31 | With Cerebras CEO Andrew Feldman
Answers 383 questions

No Priors Ep. 77 | With Foundry CEO and Founder Jared Quincy Davis
Answers 383 questions

No Priors Ep. 50 | With Stripe Head of Information Emily Glassberg Sands
Answers 383 questions

No Priors Ep. 44 | With Former Square CEO Alyssa Henry
Answers 383 questions

No Priors Ep. 37 | With Kawal Gandhi
Answers 383 questions

No Priors Ep. 54 | With Sarah Guo & Elad Gil
Answers 383 questions

No Priors Ep. 27 | With Sarah Guo & Elad Gil
Answers 383 questions

No Priors Ep. 65 | With CEO of Scale AI Alexandr Wang
Answers 383 questions

No Priors Ep. 29 | With Inceptive CEO Jakob Uszkoreit
Answers 383 questions

No Priors Ep. 76 | With Ramp Co-Founders Eric Glyman and Karim Atiyeh
Answers 383 questions

No Priors Ep. 97 | With Decagon CEO and Co-Founder Jesse Zhang
Answers 383 questions

No Priors Ep. 35 | With Sarah Guo and Elad Gil
Answers 383 questions

No Priors Ep. 32 | With NEAR’s Illia Polosukhin
Answers 383 questions

No Priors Ep. 60 | With Playground AI Founder Suhail Doshi
Answers 383 questions

No Priors Ep. 89 | With NVIDIA CEO Jensen Huang
Answers 383 questions














