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Cerebras Tech Stack

AI supercomputer hardware and inference platform for enterprise and research

Semiconductor Manufacturing Sunnyvale, California 501–1,000 employees Founded 2015 Privately Held

Cerebras manufactures custom AI processors (Wafer Scale Engine 3) and operates a cloud inference platform targeting sub-second latency at scale. The tech stack reveals a systems-level company: chip-design tools (Design Compiler, Calibre, Tcl), inference optimization frameworks (vLLM, TensorRT-LLM, Triton, PyTorch), and orchestration (Kubernetes, AWS, GCP, Azure). Engineering dominance in hiring (65 of 101 roles) paired with active projects in kernel reliability, hardware telemetry, and manufacturing efficiency signals a company scaling production capacity and tackling the operational complexity of hardware-software integration.

Tech Stack 100 technologies

Core StackLangChain Python TypeScript JavaScript AWS Kubernetes Prometheus Grafana OpenTelemetry Jira PyTorch Hugging Face SageMaker LlamaIndex CrewAI AutoGen Calibre Tcl Design Compiler Firewall IPsec MACsec BGP AWS Transit Gateway AWS Direct Connect GCP Azure vLLM TensorRT-LLM Triton+69 more

AdoptingKubernetes

What Cerebras Is Building

◆Challenges

Optimizing inference performance
Performance bottlenecks
Ensuring reliability of ai hardware
Scaling inference workloads
Reliability of ai inference service
Streamlining manufacturing workflow
Improving manufacturing efficiency
Ipo readiness
Reduce costs
Scalable deployment of ai inference workloads

▲Active Projects

Cerebras inference
Llm pretraining
Post-training and reinforcement learning
Telemetry observability improvement
Global sourcing strategy development
Frontend inference compiler development
Technical projects for advanced networking technologies
Test strategy implementation
Kernel-centric reliability roadmap
Monitoring hardware telemetry

Hiring Activity

Accelerating100 roles · 70 in 30d

Department

Engineering

65

Finance

8

Legal

4

Manufacturing

4

Marketing

4

Ops

4

Product

3

Security

3

Seniority

Senior

54

Mid

15

Manager

7

Director

6

Lead

6

Junior

5

Principal

5

VP

2

Notable leadership hires: Chief of Staff

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About Cerebras

Cerebras Systems designs and manufactures AI inference hardware and operates a managed cloud platform. The company's core product is the Cerebras CS-3, a system built around the Wafer Scale Engine 3 processor, marketed for fast inference speeds and training workloads. They serve enterprises, research institutions, and government agencies through both cloud-hosted and on-premise deployments. The company is 501–1,000 employees, headquartered in Sunnyvale, and hiring across the United States, India, Canada, and the United Arab Emirates. Active pain points include optimizing inference performance, ensuring hardware reliability, streamlining manufacturing workflows, and preparing for capital events.

HeadquartersSunnyvale, California

Company Size501–1,000 employees

Founded2015

Hiring MarketsUnited States, India, Canada, United Arab Emirates

Frequently Asked Questions

What is Cerebras CS-3?

Cerebras CS-3 is an AI supercomputer powered by the Wafer Scale Engine 3 processor, designed for fast AI inference and training. Multiple CS-3 systems can be clustered together to create larger AI supercomputers.

What AI inference frameworks does Cerebras use?

The stack includes vLLM, TensorRT-LLM, Triton, PyTorch, Hugging Face, and LangChain for inference optimization and model serving. LlamaIndex, CrewAI, and AutoGen support agentic AI workloads.