HC31-S4: ML Training @hotchipsvideos
HC31-S4: ML Training  @hotchipsvideos
Uploaded December 2019 | Updated September 2026, 3 weeks ago
Session 4, Hot Chips 31 (2019), Monday, August 19, 2019.

A Scalable Unified Architecture for Neural Network Computing from Nano-level to High Performance Computing
Liao Heng, Huawei

Deep Learning Training at Scale — Spring Crest Deep Learning Accelerator
Andrew Yang, Nitin Garegrat, Connie Miao & Karthik Vaidyanathan, Intel

Wafer Scale Deep Learning
Sean Lie, Cerebras

Habana Labs Approach to Scaling AI Training
Eitan Medina, Habana
HC31-S4: ML TrainingHC31-S1: General Purpose ComputeHC33-T1.3: Machine Learning Performance and Challenges, Part 3HC27-S6: ApplicationsHC20-S4: SupercomputingHC32-T1: Machine Learning Scale OutHC31-S5: Embedded and AutoHC28-S2: Processing on the Go—Mobile DevicesHC34-S5: Network and SwitchesHC2023-R1: Opening Remarks and Sachs MemorialHC26-S5: FPGAsHC2024-R1: Opening Remarks
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HC31-S4: ML Training

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