Beyond Von Neumann: Toward a unified deterministic architecture
A cycle-accurate alternative to speculation — unifying scalar, vector and matrix computeFor more than half a century, computing has relied on the Von Neumann or Harvard model. Nearly every modern chip — CPUs, GPUs and even many specialized accelerators — derives from this design. Over time, new architectures like Very Long Instruction Word (VLIW), dataflow processors and GPUs were introduced to address specific performance bottlenecks, but none offered a comprehensive alternative to the paradigm itself.<br /> <br /> A new approach called Deterministic Execution challenges this status quo. Instead of dynamically guessing what instructions to run next, it schedules every operation with cycle-level precision, creating a predictable execution timeline. This enables a single p [...]
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Moving past speculation: How deterministic CPUs deliver predictable AI performance
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When the transformer architecture was introduced in 2017 in the now seminal Google paper "Attention Is All You Need," it became an instant cornerstone of modern artificial intelligence. Ever [...]
Nvidia launches enterprise AI agent platform with Adobe, Salesforce, SAP among 17 adopters at GTC 2026
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