Cerebras

Harness the power of the world's largest AI processor with Cerebras' innovative wafer-scale technology, enabling lightning-fast training and inference for enterprise-grade AI applications. Experience unprecedented computational efficiency through their advanced cloud-based supercomputing infrastructure.

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Introduction

What is Cerebras?

Cerebras stands at the forefront of AI acceleration technology, powered by its groundbreaking Wafer-Scale Engine (WSE) - the industry's largest and most advanced AI processor. The flagship CS-3 system represents a quantum leap in AI computing capabilities, delivering exceptional performance for training and deploying large language models (LLMs) and next-generation AI applications. This revolutionary architecture ensures seamless scalability, rapid deployment, and unprecedented processing speeds, making it the go-to solution for enterprises pushing the boundaries of AI innovation.

Key Features:

• Leverages the industry's largest AI processor, delivering superior memory bandwidth and computational throughput for resource-intensive AI workloads.

• Achieves up to 20x faster inference and training speeds compared to conventional GPU solutions, enabling real-time LLM operations and autonomous AI systems.

• Seamlessly clusters CS-3 systems to create powerful AI supercomputers, supporting models from billions to trillions of parameters with streamlined deployment.

• Available as instant cloud services or dedicated on-premises infrastructure for organizations requiring complete control.

• Maintains superior model accuracy with native 16-bit weight operations, surpassing the limitations of traditional low-precision inference.

• Offers comprehensive AI enablement services, including model development, optimization, and enterprise training programs.

Use Cases:

• Accelerates LLM training from weeks to days, enabling rapid iteration cycles for both research and production environments.

• Powers high-throughput inference for conversational AI, code generation, and intelligent workflow automation systems.

• Enables rapid AI model deployment in biotechnology, medical research, and genomics, accelerating drug discovery and healthcare innovation.

• Supports high-performance AI applications in financial services, including real-time threat detection, algorithmic trading, and document analysis.

• Provides scalable, cost-effective AI infrastructure for organizations developing proprietary models or implementing open-source AI solutions.