Company comparison
Quadric vs Cerebras Systems
Radar profile, momentum bars, and stack placement side by side.
Quadric
Not scored
momentum
Cerebras Systems
90
momentum
Quadric capital
—
Cerebras Systems capital
—
Company profile radar
Momentum head-to-head
- Cerebras Systems90
Attribute tape
| Field | Quadric | Cerebras Systems |
|---|---|---|
| Category | Semiconductors and hardware | Semiconductors and hardware |
| Stack | Layer 1 | Layer 1 |
| HQ | Burlingame, CA, United States | Sunnyvale, CA, United States |
| Founded | 2016 | 2016 |
| Status | Operating | Operating |
| Funding | — | — |
| Momentum | — | 90 |
| Summary | Quadric licenses the Chimera GPNPU, a programmable AI processor IP for on-device inference that unifies scalar, vector, and matrix workloads so chip designers can run ML inference and traditional control/DSP code on a single architecture without separate CPUs or NPUs. | Cerebras Systems designs wafer-scale AI chips and supercomputers—anchored by its WSE (Wafer-Scale Engine) family—and offers cloud-based inference and training services that deliver high-throughput AI compute without the communication bottlenecks typical of multi-GPU clusters. |
| Who for | Teams evaluating AI vendors in this category. | Teams evaluating AI vendors in this category. |
| Differentiator | Quadric licenses the Chimera GPNPU, a programmable AI processor IP for on-device inference that unifies scalar, vector, and matrix workloads so chip designers can run ML inference and traditional control/DSP code on a single architecture without separate CPUs or NPUs. | Cerebras Systems designs wafer-scale AI chips and supercomputers—anchored by its WSE (Wafer-Scale Engine) family—and offers cloud-based inference and training services that deliver high-throughput AI compute without the communication bottlenecks typical of multi-GPU clusters. |
