RAAIS 2017 - Simon Knowles, Co-Founder and CTO of Graphcore

Why HN readers recommended it

HN points to it as a technical talk from a chip designer on why AI hardware should put memory close to compute and use async data transfers.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel

The Research and Applied AI Summit - RAAIS

Topic

ai accelerator chips

Format

talk

Level

advanced

HN recommenders in dataset

3

HN mentions in dataset

3

Recommendation years in dataset

2017–2018

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

• Interesting approach, but very far off. I prefer GraphCore as a promising new lead in AI hardware. Moving computation close in with memory, and making data transfers async will speed up DL. [VIDEO]

• Indeed, and that's why there are a couple of startups working on new chips and why Google has the TPU. Here's a nice technical talk from Graphcore's CTO about that [VIDEO]

• I went to a talk from the CTO of Graphcore ( [LINK] ) on Monday. They are designing chips targeted at machine learning. As I understood it, their architecture comprises - lots of "tiles" - small processing cores with collocated memory (essentially DSPs) - very …