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Ritika Borkar Profile picture
Ritika Borkar
@Ritika_Borkar
Computer Architect at NVIDIA | Board of Director at MLCommons | MLPerf Training WG Chair | Building systems to speed-up compute (AI/ML/DL) | Opinions are my own
Aug 24, 2021 • 6 tweets • 3 min read
Fun keynote from @SkydioHQ at #hotchips last night.

Interesting learnings for architects designing compute SoCs for edge devices in #autonomous systems & #Robotics

Last two were the most revealing realizations for me (1/n) Autonomous algorithms are still evolving.

While acceleration of key workloads is desired, it is general compute horsepower which will provide the needed flexibility to program solutions for next world challenges. (2/n)
Aug 24, 2021 • 11 tweets • 2 min read
Semiconductor #VentureCapital easily bought the idea of ASICs replacing GPU for AI, based on the argument that GPUs were primarily built for graphics & would not be efficient for AI in the longer run.

Lets bust that myth (1/n) Hard thing about Hardware is actually Software.

2016 saw a Cambrian explosion of AI chip startups raise their 1st VC rounds. 5 years later, most startups have launched their 1st gen. chip but are still struggling to build a robust SW stack to support diverse AI workloads (2/n)