Cerebras CS-4

# Product - System - Cerebras Source: [https://www.cerebras.ai/cs4](https://www.cerebras.ai/cs4) ## **The Fastest AI Just Got Faster\.** Introducing the all new Cerebras CS\-4, a revolutionary rack\-scale solution that delivers up to 30x faster inference compared to GPUs, enhanced economics, and a simple path to deploy 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\-Scale 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 FORHYPERSCALE​ CS\-4 is the first iteration of the new Cerebras Nexus Platform Architecture\. It is built around a modular concept with three foundational elements: Compute, Power, and I/O – each with significant innovation to simplify manufacturing, 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 compute arrives\. 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\.​ ## CS\-4 by the numbers ## First CS\-4 shipments begin this quarter\.​ Bring the fastest AI to your data center\.​ ​  ## FAQ