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Shanghai Jiao Tong University
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HMA-Serve achieves 3.2x higher goodput and 4.8x better cost-efficiency by leveraging memory-heterogeneous accelerators, challenging the status quo of single-vendor LLM serving.
Achieve near order-of-magnitude reduction in tail timing error in mixed-criticality robotics by decoupling safety-critical control from user applications.