AI shouldn’t be limited to those with access to expensive hardware. This episode explores how to break down barriers by running massive AI models on “crappy machines”—affordable, low-spec devices. Clever techniques like quantization, pruning, model distillation might not be enough.
With edge offloading, we can make state-of-the-art AI accessible to hobbyists, researchers, and innovators everywhere.
By democratizing AI, we can empower individuals and small teams to experiment, create, and solve problems without needing deep pockets or enterprise-grade resources.
AI for everyone, on everything. Let’s make it happen.
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