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But they share a common bottleneck: hardware. New techniques and chips designed to accelerate certain aspects of AI system development promise to (and, indeed, already have) cut hardware requirements. Emerging from stealth today, Exafunction is developing a platform to abstract away the complexity of using hardware to train AI systems.
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From hardware to software, people have been grappling with the buy vs. build dilemma for years. This results in all binary data (such as NetFlow data) having to be re-formatted as JSON, resulting in massive storage bloat at scale and performance bottlenecks. Reduce staffing required to maintain hardware and software.
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