
Mark Handley
Computer science researcher
1
APPEARANCES
1
PODCASTS
012
DEC 30
JAN 6
JAN 13
JAN 20
JAN 27
FEB 3
FEB 10
FEB 17
FEB 24
MAR 3
MAR 10
MAR 17
MAR 24
MAR 31
APR 7
APR 14
APR 21
APR 28
MAY 5
MAY 12
MAY 19
MAY 26
JUN 2
JUN 9
JUN 16
JUN 23
JUN 30
JUL 7
JUL 14
JUL 21
JUL 28
AUG 4
AUG 11
AUG 18
AUG 25
SEP 1
SEP 8
SEP 15
SEP 22
SEP 29
OCT 6
OCT 13
OCT 20
OCT 27
NOV 3
NOV 10
NOV 17
NOV 24
DEC 1
DEC 8
DEC 15
DEC 22
DEC 29
JAN 5
JAN 12
JAN 19
JAN 26
FEB 2
FEB 9
FEB 16
FEB 23
MAR 2
MAR 9
MAR 16
MAR 23
MAR 30
APR 6
APR 13
APR 20
APR 27
MAY 4
MAY 11
MAY 18
MAY 25
JUN 1
JUN 8
JUN 15
JUN 22
JUN 29
JUL 6
JUL 13
JUL 20
JUL 27
AUG 3
AUG 10
AUG 17
AUG 24
AUG 31
SEP 7
SEP 14
SEP 21
May 6, 2026
Episode 18 - Why AI needs a new kind of supercomputer network
8:58
9:07
9:18
9:22
15:19

Mark HandleyGUEST
And the problem with that is you can't build that with, with a single switch or even a hierarchy of switches.

Mark HandleyGUEST
And so that means that when you communicate from one GPU to a different GPU, there are many different paths your traffic could take through that network, thousands of different paths your traffic could take through the network, because we build so many different switches in there.

Mark HandleyGUEST
There's, there's, you know, several thousand switches in one of these buildings.

Mark HandleyGUEST
Um, now that gives us an interesting problem, which is which path do you take from one place to the other? And if you, if you basically have the requirement that I want to be able to send from one GPU to another GPU as fast as possible, and I choose, say, a random path through the network, if I get lucky and nobody else chooses the same path, then great.
6 MINS LATER

Andrew MayneHOST
So to address this, you've been working on a method, a multi-path reliability connection.