# DGX SaturnV Volta
**Wikidata**: [Q74273391](https://www.wikidata.org/wiki/Q74273391)  
**Source**: https://4ort.xyz/entity/dgx-saturnv-volta

## Summary
The DGX SaturnV Volta is a supercomputer developed by Nvidia, part of the DGX series, designed for deep learning and AI workloads. It utilizes Nvidia's Volta GPU architecture and ranked 150th in the TOP500 list in 2017. The system integrates Xeon processors and Tesla V100 GPUs, delivering 1.07 petaflops of performance.

## Key Facts
- **Manufacturer**: Nvidia
- **Inception**: 2017
- **Processors**: Xeon E5-2698v4 CPUs and Nvidia Tesla V100 GPUs
- **Performance**: 1.07 petaflops (LINPACK)
- **TOP500 Rankings**: 150th (November 2017), 469th (June 2019)
- **Power Consumption**: 97 kW
- **Cores**: 22,440 processor cores
- **Interconnect**: Mellanox InfiniBand EDR
- **System ID**: 179166 (TOP500)

## FAQs
### Q: What was the DGX SaturnV Volta used for?
A: The DGX SaturnV Volta was designed for deep learning, AI research, and high-performance computing (HPC) tasks, leveraging its GPU-accelerated architecture.

### Q: How powerful was the DGX SaturnV Volta?
A: It achieved 1.07 petaflops of performance and ranked 150th on the TOP500 list in November 2017, later dropping to 469th by June 2019.

### Q: What hardware did the DGX SaturnV Volta feature?
A: It used Xeon E5-2698v4 CPUs, Nvidia Tesla V100 GPUs, and Mellanox InfiniBand EDR interconnects, with 22,440 processor cores.

## Why It Matters
The DGX SaturnV Volta represents a milestone in GPU-accelerated supercomputing, showcasing Nvidia’s Volta architecture in a single-rack system optimized for AI and HPC. Its inclusion in the TOP500 highlighted the growing role of GPUs in high-performance computing, particularly for machine learning workloads. As an early adopter of the Tesla V100 GPU, it demonstrated advancements in energy efficiency and computational density, influencing the design of subsequent supercomputers and AI infrastructure. Its deployment underscored the shift toward specialized hardware for accelerating complex algorithms, supporting breakthroughs in fields like scientific research and autonomous systems.

## Notable For
- First Volta GPU-based system on the TOP500 list (2017)
- Single-rack design with dense GPU integration (36 Tesla V100 GPUs)
- High energy efficiency for its performance class (97 kW power consumption)
- Used internally by Nvidia for AI research and development
- Early example of converged HPC-AI infrastructure

## Body
### Inception and Development
The DGX SaturnV Volta was introduced in 2017 by Nvidia as part of its DGX series, succeeding earlier Pascal-based systems. It was designed to showcase the capabilities of Nvidia’s Volta GPU architecture, emphasizing tensor core acceleration for deep learning.

### Technical Specifications
- **CPU**: Xeon E5-2698v4 (20-core, 2.2 GHz)
- **GPU**: 36 Nvidia Tesla V100 SXM2 (16 GB HBM2 each)
- **Interconnect**: Mellanox InfiniBand EDR (100 Gbps)
- **Memory**: 512 GB DDR4 RAM per node
- **Storage**: 1.2 TB NVMe SSD per node

### Performance and Rankings
- **Peak Performance**: 1.07 petaflops (LINPACK)
- **TOP500 Rankings**: 
  - 150th (November 2017)
  - 469th (June 2019)
- **Power Efficiency**: 11.2 GFLOPS/watt (2017)

### Applications
The system was deployed at Nvidia’s headquarters for internal research, including AI model training and scientific simulations. Its architecture influenced later DGX models and enterprise GPU clusters, emphasizing the importance of GPU acceleration in modern computing workloads.