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AI enthusiasts and developers are often blocked from running large, powerful models on local machines due to the prohibitive cost of hardware with sufficient memory. Mainstream hardware prioritizes raw processing speed for other applications, leaving a massive gap for affordable high-capacity memory solutions, which is the primary bottleneck for many AI tasks.
A hardware solution focused on providing a large amount of fast, dedicated memory (VRAM) paired with a cost-effective processing unit. This product would not compete on top-tier processing speeds but would enable a wide range of users to load and run larger AI models affordably, opening up the market for local AI development and experimentation that is currently inaccessible to most.