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Data Center News > Blog > Edge Computing > Litmus advances AI at the edge with real-time DataOps and GPU acceleration
Edge Computing

Litmus advances AI at the edge with real-time DataOps and GPU acceleration

Last updated: February 21, 2025 1:08 pm
Published February 21, 2025
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Litmus advances AI at the edge with real-time DataOps and GPU acceleration
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Litmus, an industrial IoT edge platform, introduced superior AI capabilities for its Litmus Edge platform on the ProveIT convention this week, enhancing Industrial DataOps for enterprises. 

The platform now helps real-time AI-powered information evaluation, integrating with main cloud providers (OpenAI, Google Gemini, AWS Bedrock) and on-premises methods by way of OpenRouter. 

A structured API interface permits AI brokers to make the most of historic information, context, and asset fashions for exact information interpretation. Optimized Nvidia GPU assist permits native runtime for pc imaginative and prescient and different GPU-intensive AI functions on the edge. 

“Our staff continues to develop revolutionary industrial information ops options that speed up AI use instances at this time and pave the best way for industrial firms to leverage and profit from our AI-enablement know-how sooner or later,” says Vatsal Shah, CEO and Founding father of Litmus. “The time for industrial AI is now. With the correct information basis, turning AI investments right into a strategic differentiator is now doable.”

Beta assist for domestically hosted small language fashions (e.g., Microsoft Phi, Llama) ensures information safety in air-gapped environments, assembly strict regulatory necessities. 

The brand new options purpose to enhance operational effectivity, improve information safety, and scale AI implementations throughout industrial operations. Dwell demonstrations of the improved platform will probably be showcased at ProveIT and Hannover Messe 2025. 

Associated

AI/ML edge platform  |  GPU  |  IIoT  |  Litmus  |  small language fashions

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See also  From the core to the edge: scaling networks for AI’s future
TAGGED: Acceleration, advances, DataOps, edge, GPU, Litmus, realtime
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