Harnessing Modular Vector Processing for Scalable, Power-Efficient AI Acceleration

Harnessing Modular Vector Processing for Scalable, Power-Efficient AI Acceleration
by Jonah McLeod on 02-24-2025 at 6:00 am

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The dominance of GPUs in AI workloads has long been driven by their ability to handle massive parallelism, but this advantage comes at the cost of high-power consumption and architectural rigidity. A new approach, leveraging a chiplet-based RISC-V vector processor, offers an alternative that balances performance, efficiency,… Read More