# NA10

> supercomputer released in 2023

**Wikidata**: [Q134087167](https://www.wikidata.org/wiki/Q134087167)  
**Source**: https://4ort.xyz/entity/na10

## Summary
NA10 is a supercomputer released in 2023, manufactured by Lenovo and ranked 277th on the TOP500 list as of November 2024. It runs on Linux and is powered by AMD EPYC 7763 processors, achieving a peak performance of 7.23 petaflops.

## Key Facts
- Released in 2023 and manufactured by Lenovo
- Ranked 277th on the TOP500 list (November 2024), previously ranked 238th (June 2024) and 208th (November 2023)
- Located in the United States and used in the industrial sector
- Powered by 64-core AMD EPYC 7763 processors running at 2.45GHz
- Contains 184,320 processor cores total
- Achieves 3.64 petaflops Rmax performance and 7.23 petaflops Rpeak performance
- Uses 100G Ethernet networking
- Identified as TOP500 system ID 180199

## FAQs
### Q: What type of supercomputer is NA10?
A: NA10 is a high-performance computing system released in 2023 that uses AMD EPYC processors and runs on Linux. It's designed for industrial applications and achieves petaflop-scale performance.

### Q: Who manufactures NA10 and where is it located?
A: NA10 is manufactured by Lenovo and is located in the United States. It's built using Lenovo ThinkSystem SR665 V2 servers.

### Q: What are NA10's key specifications?
A: NA10 features 184,320 processor cores using AMD EPYC 7763 64-core processors at 2.45GHz, achieving 3.64 petaflops Rmax and 7.23 petaflops Rpeak performance with 100G Ethernet networking.

## Why It Matters
NA10 represents a significant entry in the competitive landscape of high-performance computing, demonstrating how industrial applications can leverage modern processor architectures and networking technologies. As a Lenovo-manufactured system using AMD EPYC processors, it showcases the growing diversity in supercomputing hardware beyond traditional Intel-based systems. Its consistent presence on the TOP500 list since 2023 indicates reliable performance for industrial computing needs. The system's architecture, combining high core counts with efficient networking, reflects current trends in building scalable computing infrastructure for demanding applications. Its ranking progression from 208th to 277th over time also provides insight into the rapid advancement of supercomputing technology, where systems must continuously evolve to maintain competitive positions.

## Notable For
- Consistent TOP500 presence since 2023, maintaining competitive performance
- AMD EPYC processor architecture offering high core density
- Industrial sector application focus
- Lenovo manufacturing demonstrating alternative to traditional supercomputing vendors
- 100G Ethernet networking for high-speed data transfer

## Body
### Technical Architecture
NA10 is built using Lenovo ThinkSystem SR665 V2 servers, featuring AMD EPYC 7763 processors. Each processor contains 64 cores running at 2.45GHz, providing substantial parallel computing capability. The system utilizes 100G Ethernet for high-speed networking between nodes.

### Performance Metrics
The supercomputer achieves 3.64 petaflops of Rmax (maximum LINPACK performance) and 7.23 petaflops of Rpeak (theoretical peak performance). With 184,320 total processor cores, NA10 delivers substantial computational throughput for industrial applications.

### System Classification
As identified by TOP500 system ID 180199, NA10 is classified as a supercomputer running Linux. The system's architecture and performance place it firmly in the high-performance computing category, suitable for demanding computational workloads.

### Market Position
NA10's ranking on the TOP500 list has evolved from 208th place in November 2023 to 238th in June 2024, and 277th in November 2024. This progression reflects both the system's continued operation and the rapid advancement of supercomputing technology globally.

### Industrial Applications
The system is designated for use in the industrial sector, though specific applications are not detailed in available sources. Its architecture and performance characteristics make it suitable for various computational tasks common in industrial settings, such as simulations, data analysis, and complex modeling.

## References

1. [Source](https://www.top500.org/site/50969/)
2. [Source](https://top500.org/system/180199/)
3. [TOP500](https://top500.org/system/180199/)