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Logan Jastremski Podcast
The race to scale GPU compute and the A.I. Renaissance with Gensyn Co-Founders | EP #106
Oct 19, 2023
Ben Fielding and Harry Grieve, Co-Founders of Gensyn, discuss the race to scale GPU compute and the AI renaissance. They explore Gensyn's vision of a global supercluster accessible to anyone, the limitations of decentralized compute, the cost comparison between decentralized and traditional compute clusters, and the importance of owning your own AI. They also touch on the verification problem in decentralized systems and the impact of decentralization on the AI ecosystem.
01:08:25
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Quick takeaways
- Gensyn aims to automate access to computational resources for machine learning training, democratizing access and optimizing usage of existing chips.
- Gensyn envisions becoming the network for machine learning compute, serving as the infrastructure for the upcoming AI-driven industrial revolution.
Deep dives
Jensen's Origin: Solving the Compute Problem in Machine Learning
Jensen was founded with a focus on solving the compute problem in machine learning. The co-founders, Ben and Harry, realized that the design of neural networks was being done manually, and machine learning experiments were limited by the availability of computational resources. They recognized that machine learning was computationally expensive and inaccessible to many researchers and developers. Their vision was to automate the process of accessing compute for machine learning training, optimizing usage of existing chips and democratizing access to compute for the entire machine learning community.
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