HC34-K2: Beyond Compute: Enabling AI through System Integration @hotchipsvideos
HC34-K2: Beyond Compute: Enabling AI through System Integration  @hotchipsvideos
Uploaded August 2022 | Updated September 2026, 3 weeks ago
Keynote 2, Hot Chips 34 (2022), Tuesday, August 23, 2022

Ganesh Venkataramanan, Tesla Motors

This keynote discusses important trends in machine learning (AI) performance needs and power requirements, as driven by applications such as self-driving cars and their need to understand the surrounding environment in real-time. Conventional architectures just cannot keep up with these requirements, so new, highly-integrated architectures are required. The Tesla DOJO system is used as a particular example of the kind of innovative architectures that are being designed to meet these requirements. It packs 25 chips containing a large 2D array of cores into a single "tile" that can pack massive amounts of computation into a small volume.
HC34-K2: Beyond Compute: Enabling AI through System IntegrationHC25-S4: InterconnectsHC2025-S8: Machine Learning 2HC33-K3: Architectural Challenges: AI Chips, Decision Support, and High Performance ComputingHC2024-S4: AI Processors Part 2HC30-S1: Mobile/Power Efficient ProcessorsHC2025-T2.2: AI Kernel Programming (part 2)HC26-S1: High Performance ComputingHC18-PS: Who Owns the Living Room?HC27-S2: Multimedia and Signal ProcessingHC20-T2: Scalable Parallel Programming with CUDAHC2025-S1: CPUs
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HC34-K2: Beyond Compute: Enabling AI through System Integration

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