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AI chip · Cerebras Systems

Cerebras WSE-3 (Wafer-Scale Engine 3)

Third-generation wafer-scale AI processor; 900,000 cores on a single ~46,000 mm² die. The largest chip made. Fabricated by TSMC.

Market position

The wafer-scale engine: one 46,225 mm² chip that IS the die. 900,000 cores, 44 GB on-die SRAM. 4 trillion transistors, 57x an H100. Used by G42, Mayo Clinic, and GSK for training and inference-at-scale. Not a NVIDIA alternative in the same sense; a completely different architecture that only makes sense at pod scale.

Efficiency and power

How much work you get per watt and per dollar, and how much power a full rack draws.

Perf per watt
2.72 FP16 TFLOPS/W
62,500 TFLOPS ÷ 23000 W = 2.72

What fits in 44 GB

Which open-source LLMs run on one Cerebras WSE-3 (Wafer-Scale Engine 3), by precision. Weights only: add roughly 15% headroom for real serving. If a model does not fit at FP16, try INT8 or INT4 (smaller quality trade-off than most people expect).

ModelParamsFP16INT8INT4
Llama 3.1 8B
dense
8 B16 GB ✓8 GB ✓4 GB ✓
Llama 3.1 70B
dense
70 B140 GB ✗70 GB ✗35 GB ✓
Llama 3.1 405B
dense
405 B810 GB ✗405 GB ✗203 GB ✗
Llama 3.3 70B
dense
70 B140 GB ✗70 GB ✗35 GB ✓
DeepSeek V3
MoE (671B total, 37B active per token)
671 B1342 GB ✗671 GB ✗336 GB ✗
DeepSeek R1
MoE (671B total, 37B active per token)
671 B1342 GB ✗671 GB ✗336 GB ✗
Qwen 2.5 7B
dense
7 B14 GB ✓7 GB ✓4 GB ✓
Qwen 2.5 72B
dense
72 B144 GB ✗72 GB ✗36 GB ✓
Mixtral 8x7B
MoE (46.7B total, 12.9B active per token)
46.7 B93 GB ✗47 GB ✗23 GB ✓
Mixtral 8x22B
MoE (141B total, 39B active per token)
141 B282 GB ✗141 GB ✗71 GB ✗
Gemma 2 27B
dense
27 B54 GB ✗27 GB ✓14 GB ✓
Command R+
dense
104 B208 GB ✗104 GB ✗52 GB ✗
Kimi K2
MoE (1T total, 32B active per token)
1000 B2000 GB ✗1000 GB ✗500 GB ✗

Math: FP16 = params × 2 bytes; INT8 = params × 1 byte; INT4 = params × 0.5 bytes. MoE models sum every expert (full weights on disk), not the per-token active subset.

Common questions

How much does Cerebras WSE-3 (Wafer-Scale Engine 3) cost?

Cerebras WSE-3 (Wafer-Scale Engine 3) doesn't have a public launch list price. Vendors like this one usually price through direct sales rather than a public sheet. See list price per TFLOP for chips that do publish.

How much memory does Cerebras WSE-3 (Wafer-Scale Engine 3) have?

44 GB of on-die SRAM, running at 21,000,000 GB/s. Straight from the vendor datasheet. See chips with the most memory for context.

How much power does one Cerebras WSE-3 (Wafer-Scale Engine 3) draw?

23000 W at the chip. A full server draws more once you add CPU, memory, networking and cooling: see the rack power number above. Compare to other chips on perf-per-watt.

Which open-source LLMs fit on one Cerebras WSE-3 (Wafer-Scale Engine 3)?

Of 13 open-source LLMs we track, 2 fit at FP16, 3 at INT8, and 7 at INT4 (for example Llama 3.1 8B, Llama 3.1 70B and Llama 3.3 70B). Full table above with each model's memory need.

See every answer we publish →

Key facts

Class
Compute SoC (AI accelerator)
Safety-critical?
No (data-center inference / training)
Record as of
2026-09-27
Most recent source
2024-03-01 (across 1 source on this page)
Specifications (10 fields, click to expand)

Straight from the vendor datasheet. Dense throughput shown first; sparse (2:4) numbers in parentheses where the vendor publishes them. Full datasheet linked below.

Process node
TSMC N5
Transistors
4000 B
Die size
46225 mm²
TDP
23000 W
Memory
44 GB on-die SRAM
Memory bandwidth
21,000,000 GB/s
FP16 (dense)
62,500 TFLOPS
Form factor
wafer-scale (single-wafer system)
Announced
2024-03-13
Released
2024-04-01

Source: vendor datasheet

Foundry & process

Fabbed at
TSMC (all chips TSMC makes →)
Process node
TSMC N5
Transistors
4000 B on 46225 mm² die

Compare with

See every chip comparison →

Benchmarks

Published performance numbers by workload. Vendor datasheet figures where noted; independent measurements otherwise.

WorkloadValueUnitSourceAs of
peak tflops fp16(Wafer-scale; 900k cores)125000TFLOPSvendor2024-03-01

Sources

Adoption rows appear as we confirm each chip-in-robot pairing from a public source. See every chip we track for the full catalog or the Cerebras Systems page.