CS-4
The fourth-generation wafer-scale AI inference system from Cerebras, composed of power racks and compute clusters. A single wafer-scale engine integrates 4 trillion transistors and 900,000 AI-optimized cores.
Timeline (last 90 days)
Cerebras released its latest-generation wafer-scale engine system, the CS-4.
A single CS-4 chip integrates 4 trillion transistors and 900,000 AI-optimized cores.
The CS-4's inference speed is an order of magnitude faster (about 30x) than GPU solutions.
The CS-4 is built specifically for deploying high-speed AI inference in hyperscale data centers.
The CS-4 consists of two modular components: a power rack and a compute backpack.
Each compute backpack is powered by up to 30 power units, with the rack taking AC input at up to 480 volts and each unit converting the AC to 54.5 volts DC.
A complete CS-4 can be brought online in minutes rather than days.
The CS-4 uses a 3D vertical stacking structure, with a copper cold plate behind the wafer for water-cooling and a compact power converter in front.
The CS-4 shortens the circuit distance from the power converter to the processor from about 50 millimeters on traditional GPU boards to half a millimeter, nearly eliminating power loss.
The new power architecture doubles the power delivered to the wafer, supporting higher frequencies and faster token generation.
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All Facts (13)
The CS-4's modular architecture makes it easier to maintain and scale, and leaves room for future generations of wafer-scale engines.
50%UnverifiedA single CS-4 chip integrates 4 trillion transistors and 900,000 AI-optimized cores.
50%UnverifiedThe CS-4's inference speed is an order of magnitude faster (about 30x) than GPU solutions.
50%UnverifiedThe CS-4 is built specifically for deploying high-speed AI inference in hyperscale data centers.
50%UnverifiedThe CS-4 consists of two modular components: a power rack and a compute backpack.
50%UnverifiedEach compute backpack is powered by up to 30 power units, with the rack taking AC input at up to 480 volts and each unit converting the AC to 54.5 volts DC.
50%UnverifiedA complete CS-4 can be brought online in minutes rather than days.
50%UnverifiedThe CS-4 uses a 3D vertical stacking structure, with a copper cold plate behind the wafer for water-cooling and a compact power converter in front.
50%UnverifiedThe CS-4 shortens the circuit distance from the power converter to the processor from about 50 millimeters on traditional GPU boards to half a millimeter, nearly eliminating power loss.
50%UnverifiedThe new power architecture doubles the power delivered to the wafer, supporting higher frequencies and faster token generation.
50%UnverifiedEach AI core has its own dedicated memory built directly next to the logic circuitry that uses it.
50%UnverifiedCerebras officially says the CS-4 doubles performance while halving the number of components.
50%UnverifiedCerebras released its latest-generation wafer-scale engine system, the CS-4.
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