# Cerebras CS4

> Source: <https://www.cerebras.ai/cs4>
> Published: 2026-08-19 00:28:18+00:00

**The Fastest AI**

Just Got Faster.

Just Got Faster.

Introducing the all new Cerebras CS-4, a revolutionary rack-scale solution that delivers upto 30x faster inference compared to GPUs, enhanced economics, and a simple path todeploy hyperscale capacity. It is the architecture for frontier AI.

### Three WSE-3 Turbo per System

Each wafer delivers up to 2x the speed of the previous generation

### More Performance per Wafer

All new power, cooling, and I/O unleashes even more performance per wafer

### Nexus Rack-Sacle Platform

Enables rapid deployment in hyperscale datacenters

## Up to 30x faster than GPUs

Powered by WSE-Turbo, CS-4 delivers up to 30x faster inference compared to GPU systems, setting a new record for the fastest inference available in production.

## Higher ultrafast throughput

The CS-4 solution shifts the inference Pareto frontier, delivering up to 10x more throughput per watt than CS-3 while generating tokens up to 30x faster than production GPU systems. The result is a system designed to deliver both throughput and interactivity.

## Frontier-ready architecture

By reducing wafer-to-wafer interconnect latency to 2 microseconds, CS-4 delivers more than 1,000 tokens per second on models exceeding 10 trillion parameters, preserving interactive decode performance at unprecedented scale.

# BUILT FOR HYPERSCALE

CS-4 is the first iteration of the newCerebras Nexus PlatformArchitecture. It is built around amodular concept with threefoundational elements: Compute,Power, and I/O – each withsignificant innovation to simplifymanufacturing, deployment,maintenance, and upgrades.

## Modular compute backpack design

Cerebras has fundamentally re-imagined the server. Each Wafer-Scale Backpack is a self-contained assembly thatfolds the wafer, power conversion, direct liquid cooling, high-speed I/O, and control electronics into a compact 3D package with 50% fewer components. This design simplifies manufacturing and reduces deployment time from days to hours.

## High-density power delivery

With power delivery just 0.5 millimeters away from the processor - roughly 100x closer than the roughly 50mm of conventional GPU boards - CS-4 nearly eliminates board-level power loss. This enables the delivery of twice as much power to the WSE-3T,enabling higher operating frequencies and faster token generation.

## Next-gen wafer I/O interface

CS-4 introduces a new programmable I/O subsystem that doubles I/O bandwidth and reduces latency,benefitting both aggregated and disaggregated solutions. The Wafer I/O Module also enables wafers to be linked within and across racks without a switch,for wafer-to-wafer latency as low as two microseconds that is key to interactivity for models with tens of trillions of parameters.

## Deploy infrastructure then compute

CS-4 separates the stable power, cooling, and network layer from its modular wafer-scale compute. The Cerebras PowerRack can be installed and facility-qualified before computearrives. Compute backpacks then slide into place and connect to power, cooling, and data—reducing deployment from days to hours while simplifying service and future upgrades at hyperscale.
