AI models keep getting more capable. But every leap forward demands more compute, energy, and infrastructure. How far can that continue?
Cerebras Systems has spent the past decade challenging a basic assumption behind AI computing: that increasingly powerful AI must depend on conventional chip architectures. The company built its approach around wafer-scale computing and today provides AI compute through on-premise systems and its cloud platform.
Originally reported by TechCrunch. Read the full story at the original source.
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