Chapter 02 Compute Stack — Architecture Pillars
04 / 14
Platform fundamentals

Four pillars hold the accelerated stack.

1

Silicon, not generalities.

Accelerator paths are tuned for the job, so the system stays direct from model to metal.

Compute class · 192 GB HBM
2

Kernels hold the room.

A mature runtime, dense libraries, and a workflow every framework already understands.

4.3M developers · 300+ tools
3

Fabric beats latency.

Peer links keep the cluster close, so bandwidth replaces the usual network drag.

1.8 TB/s peer link
4

Training is half the trip.

Inference servers, quantization, and runtime tooling move the model into live traffic.

30x throughput · low-precision inference
Voltcore Compute
Core Keynote · Session 02 04 / 14