Cerebras CS-4

Introducing CS-4: The Fastest AI Accelerator in the Industry Learn more >>

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.​

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

Scales massive models and enables heterogeneous, disaggregated inference

Enables rapid deployment in hyperscale datacenters​

Powered by WSE-3 Turbo, CS-4 delivers up to 30x faster inference compared to GPU systems, setting a new record for the fastest inference available in production.​

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.​

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.​

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.​

Cerebras has fundamentally re-imagined the server. Each Wafer-Scale Backpack is a self-contained assembly that folds 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.​

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.​

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.​

CS-4 runs on WSE-3 Turbo—the world’s largest and fastest AI processor. Its four trillion transistors and 900,000 AI cores deliver 250 PFLOPS of compute and 43.2 petabytes per second of memory bandwidth. ​

Twice the compute. Twice the bandwidth. Less than half the latency. A massive leap in AI speed and throughput.​

How is CS4 different from CS-3? How fast is CS-4? How much throughput does CS-4 provide? Why is CS-4 well suited for agentic AI? What is a Wafer-Scale Backpack? How does the Nexus Platform Architecture simplify hyperscale deployment? What models and inference architectures does CS-4 support? Follow

Performance comparisons are based on third-party benchmarking or internal testing. Observed inference speed improvements versus GPU-based systems may vary depending on workload, configuration, date and models being tested.