Ampere Computing designs high-performance data center processors, including the Ampere Altra and AmpereOne families, which feature up to 192 cores optimized for cloud-native applications. These processors deliver significant price-performance advantages, achieving up to 50% better efficiency compared to traditional x86 architectures, while addressing the growing demand for scalable and sustainable computing resources.
Funding
$127.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
OFounders
Product
Problem
Modern data centers face increasing demands for computing power, requiring processors that can efficiently handle cloud-native applications while minimizing energy consumption and infrastructure costs. Traditional x86 architectures often struggle to deliver the necessary price-performance ratio and scalability for these workloads.
Solution
Ampere Computing designs high-performance, energy-efficient Arm-based processors optimized for cloud and edge computing environments. The Ampere Altra and AmpereOne families feature a high core count, single-threaded core architecture, and high-frequency operation, delivering predictable performance for cloud-native applications. These processors provide a scalable and sustainable solution, enabling data centers to improve workload efficiency, maximize compute density, and reduce power consumption. Ampere's cloud-native processors are designed to meet the growing demand for scalable and efficient computing resources.
Target Audience
Ampere's primary customers are cloud service providers, hyperscale data centers, and enterprises seeking to optimize their computing infrastructure for cloud-native applications and AI inferencing workloads.
Features
- High core count (up to 192 cores) for improved parallelism and workload distribution
- Single-threaded core architecture for predictable, high performance
- High-frequency operation for responsive application execution
- Arm server-based architecture optimized for cloud-native workloads
- Enhanced power efficiency, reducing energy consumption and operational costs
- Scalable design, delivering optimized performance from cloud to edge
- Support for AI inferencing with the AmpereOne Aurora, integrating AI capabilities directly into the CPU