How To Manage Token Costs While Keeping Agentic Goals On Track
20265 min
Sponsored by Dell AI Factory with NVIDIA
As enterprises evolve from chatbots to AI agents, they’re discovering an unexpected challenge: rising token costs. Because AI usage is billed by tokens, and agents typically consume far more than chatbots, tokenomics is quickly becoming a real business issue.
This is why where you run AI matters as much as which AI you run, explains Bharat Patel, a solution architect at Dell Technologies Customer Solution Center. Here, he explains tokenomics and details how Dell Deskside Agentic AI, part of the Dell AI Factory with NVIDIA, runs workhorse models locally to manage pay-per-token costs.
0:00 - Intro
0:24 - 'Tokenomics' etymology: What are tokens
0:49 - The token step change: Chatbots to agents
1:49 - Maturing your AI architecture
2:12 - Deskside agentic with the Dell AI Factory with NVIDIA
2:50 - Variable token costs to controlled investment
3:19 - Need-to-knows for agentic adoption
Learn how the Dell AI Factory with NVIDIA can power your way to AI here: https://www.dell.com/en-us/lp/nvidia-ai
See more stories of AI, Accelerated:
https://www.youtube.com/playlist?list=PLOtR8uMb1m8E
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