NVIDIA DGX versus HGX platforms

NVIDIA DGX versus HGX platforms

NVIDIA's DGX and HGX platforms represent cutting-edge AI (Artificial Intelligence) infrastructure, each tailored to meet distinct requirements in the field of artificial intelligence.

NVIDIA DGX versus HGX platforms

The DGX series is celebrated for its robust performance and user-friendliness. It aims to facilitate end-to-end AI development and stands out for its integrated approach, combining hardware and software to deliver a comprehensive solution that significantly reduces the time required to gain meaningful insights.

Conversely, the HGX platform is designed to serve as a foundational component that enables manufacturers to construct bespoke AI systems. Its modular architecture allows remarkable flexibility, permitting vendors to expand or customise their systems to meet specific demands. Companies such as Lenovo, Supermicro, Fujitsu and Dell have all used this adaptability to deliver a wide range of solutions tailored to diverse industry requirements.

NVIDIA HGX/EGX 8 GPU Servers

Presently, OEMs such as Dell (PowerEdge series), Supermicro (X13 & H13), Gigabyte (G593 series) are offering systems equipped with an 8-way NVIDIA H100 GPU configuration within the HGX framework. Lenovo is entering the market soon with its new series of air-cooled servers such as SR680a V3 and SR685a V3. Lenovo is also offering water-cooled servers with SR780a V3 series. These are designed to operate with NVIDIA's GPUs, NVLink, NVIDIA networking, fully optimised AI, and high-performance computing (HPC) software stacks to provide the highest application performance and generate the fastest time to insights interconnect technology. The advanced networking capabilities of HGX are crucial for ensuring efficient data transfer rates, which is a key factor in mitigating bottlenecks within HPC settings. This level of performance positions these systems on par with the NVIDIA DGX H100 in terms of computational power.

NVIDIA AI Enterprise (NVAIE)

The DGX series is complemented by a comprehensive support structure and software ecosystem, exemplified by the NVIDIA AI Enterprise (NVAIE) platform. NVAIE is a complete, cloud-native software suite that enhances data science workflows and simplifies the process of developing and deploying enterprise-grade generative AI applications, including co-pilots. Additionally, the features of NVAIE can be integrated into HGX systems as an optional package, allowing customisation based on customers' unique use cases and necessities. 

Cost

While the HGX platform provides significant pricing flexibility, the DGX series is positioned at a premium, reflecting its status as the gold standard in AI infrastructure. DGX H100, offer a balance of performance and cost offering 32 petaflops of AI performance. In contrast, a similar HGX system would be priced at 30% cheaper compared to DGX offering similar performance metrics.

For the most accurate and up-to-date information and cost, consult OCF directly at info@ocf.co.uk 

Flexibility 

DGX systems offer a robust, out-of-the-box solution with high-end GPUs and a comprehensive software stack, including NVIDIA Base Command and NVAIE. This can be ideal for customers looking for a turnkey solution that minimises setup complexity. On the other hand, HGX provides a modular approach, allowing customers to tailor their hardware and software configurations to their specific needs. This flexibility can be crucial for those who require a particular set of components for their computational tasks or those who wish to integrate the system into an existing infrastructure with preferred management and scheduling tools. OCF and our partners offer bespoke solutions and tools on HGX systems such as OCF steel, Run:ai and Slurm. Users can pick and choose based on their workload and usage, this will provide flexibility to build your own software stack for AI and HPC workloads.  

In conclusion, while DGX provides an out-of-the-box AI research and development solution, HGX offers a customisable approach that enables vendors to build specialised systems. DGX offers ease of use and streamlined deployment for research teams, HGX provides flexibility and scalability for complex, enterprise-level AI infrastructure. Both platforms play a pivotal role in advancing AI technology, and each offers unique advantages depending on the application.  

With over two decades of experience, OCF's consultative approach bridges the gap between client requirements and technology providers, ensuring that solutions not only meet but exceed performance expectations. Selection of platforms can be tricky at times - OCF Consulting is positioned to assist in selection of DGX or designing an optimized HGX platform tailored to specific needs, leveraging their vendor-neutral stance to integrate the best offerings available in the market. For up-to-date information, consult OCF directly at info@ocf.co.uk or message me.