Uploaded January 2026 | Updated September 2026, 2 weeks ago

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AI is growing faster than anyone expected — and the biggest cost isn’t training, it’s inference: running models billions of times every day. Microsoft just announced the Maia 200, a custom chip built specifically for inference, designed to deliver faster responses at lower cost and energy per query. In this video we break down why inference dominates AI compute, how lower-precision math like FP8/FP4 changes everything, and why memory bandwidth is the real bottleneck behind the scenes.

Microsoft’s next generation AI accelerator gives Azure an edge in running AI models faster and more cost efficiently. For more information, go to https://aka.ms/Maia200blog.




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