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Transforming AI Development: Michele Tironi on G-Core Labs' GPU Infrastructure, Scalability, and Global Reach

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Content provided by Evan Kirstel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Evan Kirstel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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Discover how G-Core Labs is transforming the landscape of AI development with Michele Tironi, the head of their AI product stream. Join us as Michele unveils the power of G-Core's GPU-based cloud infrastructure and their expansive network of 180 points of presence. You'll learn about the immense computational demands of AI model training and the critical role of low latency and scalability during inference. Michele digs into how G-Core's offerings are ideal for large-scale training and applications requiring rapid response times, and he highlights complementary services like managed Kubernetes and storage solutions that smooth the AI development workflow.
In the second half, we delve into the impressive scalability and global reach of G-Core’s GPU network. Michele discusses the flexibility of their pay-as-you-go model, which caters to applications from minimal GPU usage to extensive deployment for fields like generative AI in marketing and gaming. You'll hear about the journey from AI experimentation to widespread adoption, and the excitement around the upcoming launches of their InfraX and Edge products. Plus, get a personal glimpse into Michele's summer plans in Italy and his lighthearted take on the rivalry between AI research at Oxford and Cambridge. Tune in for a riveting discussion that promises to illuminate the future of AI infrastructure.

More at https://linktr.ee/EvanKirstel

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Chapters

1. Accelerating AI Development With G-Core (00:00:01)

2. Global GPU Network Scalability and Collaboration (00:10:29)

148 episodes

Artwork
iconShare
 
Manage episode 424337723 series 3499431
Content provided by Evan Kirstel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Evan Kirstel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Send us a Text Message.

Discover how G-Core Labs is transforming the landscape of AI development with Michele Tironi, the head of their AI product stream. Join us as Michele unveils the power of G-Core's GPU-based cloud infrastructure and their expansive network of 180 points of presence. You'll learn about the immense computational demands of AI model training and the critical role of low latency and scalability during inference. Michele digs into how G-Core's offerings are ideal for large-scale training and applications requiring rapid response times, and he highlights complementary services like managed Kubernetes and storage solutions that smooth the AI development workflow.
In the second half, we delve into the impressive scalability and global reach of G-Core’s GPU network. Michele discusses the flexibility of their pay-as-you-go model, which caters to applications from minimal GPU usage to extensive deployment for fields like generative AI in marketing and gaming. You'll hear about the journey from AI experimentation to widespread adoption, and the excitement around the upcoming launches of their InfraX and Edge products. Plus, get a personal glimpse into Michele's summer plans in Italy and his lighthearted take on the rivalry between AI research at Oxford and Cambridge. Tune in for a riveting discussion that promises to illuminate the future of AI infrastructure.

More at https://linktr.ee/EvanKirstel

  continue reading

Chapters

1. Accelerating AI Development With G-Core (00:00:01)

2. Global GPU Network Scalability and Collaboration (00:10:29)

148 episodes

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