A recent survey by Futurum Intelligence revealed that 80% of CIOs from major companies are either looking to conduct AI pilots or already implementing AI in some capacity. While the excitement for AI is palpable, enterprises face considerable challenges, including cost, scalability, performance, and, arguably the most important, deployment tradeoffs: cloud or on-premises and AI accelerator hardware.

A key focus for enterprises is AI inferencing infrastructure, which involves deploying trained AI models to make predictions or decisions. This differs from AI training, which is a separate, more computationally intensive process.

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