Balancing computational needs in the moment, maximizing output and minimizing cost.
Skymel instantly determines the optimal environment for AI inference, utilizing a blend of on-device and cloud processing based on real-time demands.
NeuroSplit proactively evaluates computational requirements, ensuring resource use is precisely aligned with actual needs, cutting wasteful expenses.
Skymel processes the initial model inference on-device, reducing raw data exposure to the cloud, ensuring a robust defense for user data.
NeuroSplit eliminates the traditional choice between deployment environments, letting developers concentrate on creating top-tier AI models, while Skymel manages deployment nuances.
With Skymel's NeuroSplit, as your user base expands, their devices augment our computational ecosystem. More users mean more devices for processing, allowing scalability without proportionally increasing costs.
If you're grappling with high cloud costs associated with AI inference, especially when it comes to Large Language Models, Skymel is engineered precisely for this challenge.
Seeking reduced cloud compute costs without compromising performance? Explore Skymel's integration options.
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