Jim Julson
where else to find them
no profile links on file
what they talk about
all 4 in the filters
where they keep going back
no series more than once — all 1 in the filters
on a stage with
- Andrew Dickinsononce
- Jitendra Padhyeonce
- Joseph Provineonce
who talks about the same things
- Bhaskararao Vakamullu2 talks
- Omar Baldonado5 talks
- Adi Gangidi4 talks
- Joseph Provine3 talks
- Susan Wu7 talks
- Jitendra Padhye5 talks
| title | conference | date |
|---|---|---|
| Anatomy of @Scale Machine Learning Network Operations | @Scale: Networking 2026 | 2026-08-25 |
Claims that AI/ML training must run at line rate across 128,000 GPUs with zero flaps, so CoreWeave builds blueprints around four cornerstones: people… | ||
| Anatomy of @scale Machine Learning Network Operations | @Scale: Networking 2026 | 2026-08-25 |
Operations at Coreweave target synchronously connecting 128,000 GPUs with zero packet loss across millions of ports and tens of thousands of miles of fiber, so… | ||
| Live Panel: Scale-Out Networking for AI Supercomputers | @Scale: Networking 2026 | 2026-08-25 |
Panel describes how real supercomputers tie tens of thousands of accelerators into one fabric and reports implementing MRC across vendors to get synchronized… | ||
| nothing matches | ||