The Future of Enterprise AI with SambaNova: Bigger Models, Smaller Hardware Footprint | Intel

Опубликовано 29 июля 2024, 13:59

In this InTechnology video, Camille chats with co-host Stephanie Cope, Portfolio Development Manager at Intel Capital, and guest Rodrigo Liang, Co-Founder and CEO at SambaNova Systems, about SambaNova’s AI solutions for Enterprises. They discuss the founding of SambaNova, Intel Capital’s investment rationale, the groundbreaking LLM Samba-1, how SambaNova enables enterprises to adopt and scale gen AI cost-effectively, the advantages of an open-source-based solution that protects private data, the significance of language in LLMs, Stephanie’s investment strategy, and much more.

0:00 Introductions
2:02 Founding SambaNova
3:06 SambaNova’s Full-Stack Solutions
6:21 Why Intel Capital Invested in SambaNova
7:42 Samba-1 and Keeping up with New Models
9:53 Samba-1’s Composition of Experts
11:57 SambaNova’s Enterprise Customers
13:51 Alternative to NVIDIA and OpenAI
15:47 Bigger Model, Smaller Hardware Footprint
18:39 Using Gen AI with Private Data
23:34 Expertise Levels of End Users
26:07 Expanding the Language of LLMs
29:08 Intel Capital’s Investment Strategy
30:35 Wrap-up

Try out Samba-1: fast.snova.ai

Learn more about Intel Capital: intelcapital.com

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#generativeAI #genAI #SambaNova #IntelCapital

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The Future of Enterprise AI with SambaNova: Bigger Models, Smaller Hardware Footprint | Intel
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