HC31-S6: ML Inference @hotchipsvideos
HC31-S6: ML Inference  @hotchipsvideos
Uploaded December 2019 | Updated September 2026, 3 weeks ago
Session 6, Hot Chips 31 (2019), Tuesday, August 20, 2019.

A 0.11 pJ/Op, 0.32-128 TOPS, Scalable Multi-Chip-Module-based Deep Neural Network Accelerator Designed with a High-Productivity VLSI Methodology
Rangharajan Venkatesan, Nvidia

Xilinx Versal/AI Engine
Sagheer Ahmad & Sridhar Subramanian, Xilinx

Spring Hill — Intel’s Data Center Inference Chip
Ofri Wechsler, Michael Behar & Bharat Daga, Intel
HC31-S6: ML InferenceHC2025-K1: Predictions for the Next Phase of AIHC30-S4: SecurityHC2025-K2: Up and Running with RapidusHC2025-S2: SecurityHC32-T2: Quantum ComputingHC25-T1: Heterogeneous System ArchitectureHC2025-S6: Power / MethodologyHC2023-S5: ML-TrainingHC2024-T2.1: The Cooling of Hot Chips: How thermal technology is keeping up with the AI revolutionHC2025-T1.2: Datacenter Racks (part 2)HC30-K2: Adaptable Intelligence: The Next Computing Era
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HC31-S6: ML Inference

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