{"id":6757,"date":"2025-10-07T13:22:43","date_gmt":"2025-10-07T13:22:43","guid":{"rendered":"https:\/\/openzeka.com\/en\/?page_id=6757"},"modified":"2026-03-04T06:13:05","modified_gmt":"2026-03-04T06:13:05","slug":"servers","status":"publish","type":"page","link":"https:\/\/openzeka.com\/en\/servers\/","title":{"rendered":"Server Solutions"},"content":{"rendered":"

SERVERS<\/h1><\/div>

Discover the architecture that powers large language models like ChatGPT by integrating our servers, equipped with NVIDIA\u2019s most powerful GPUs, into your business processes.<\/p>\n<\/div>

OpenZeka \u2013 NVIDIA DGX AI Compute Systems Partner<\/p>\n<\/div><\/div><\/div><\/div><\/div>

GPU Servers are designed for artificial intelligence, high-performance computing (HPC), data science, and advanced analytics. While PCIe-based solutions provide cost efficiency and broad compatibility, SXM-based DGX and HGX systems deliver superior performance for large-scale AI training with NVLink and NVSwitch technologies, offering low latency and high bandwidth. The SXM architecture forms the backbone of modern large language models such as ChatGPT, Claude, Gemini, and LLaMA.<\/p>\n<\/div><\/div><\/div>

\n\n\n\n\n\n\n\n\n\n\n
<\/th>\nDGX Solutions<\/th>\nHGX Solutions<\/th>\nPCIe Solutions<\/th>\n<\/tr>\n<\/thead>\n
Description<\/td>\nGPU servers optimized end-to-end by NVIDIA, combining GPU, CPU, memory, storage, and networking.<\/td>\nFlexible GPU servers offered by OEM vendors, built on NVIDIA\u2019s SXM GPU and NVSwitch infrastructure, with additional CPU, memory, storage, and networking components.<\/td>\nCost-effective and compatible servers using standard PCIe GPU cards.<\/td>\n<\/tr>\n
Manufacturer<\/td>\nNVIDIA<\/td>\nOEM vendors (HGX platform provided by NVIDIA)<\/td>\nOEM vendors (Dell, HP, Supermicro, Gigabyte, etc.<\/td>\n<\/tr>\n
Performance<\/td>\nDirect GPU-to-GPU communication ensures low latency and high bandwidth for maximum performance.<\/td>\nDirect GPU-to-GPU communication ensures low latency and high bandwidth for maximum performance.<\/td>\nSince GPUs communicate over the PCIe bus, performance is lower compared to DGX and HGX solutions.<\/td>\n<\/tr>\n
Flexibility<\/td>\nLimited flexibility, as NVIDIA delivers fully configured systems with fixed hardware setups.<\/td>\nOEM vendors can offer various combinations of CPU, RAM, storage, and networking. The number of GPUs can vary depending on the model (e.g., 4 or 8 SXM GPUs).<\/td>\nHigh flexibility\u2014GPUs can be added or removed easily thanks to PCIe design, and systems can be scaled according to specific needs.<\/td>\n<\/tr>\n
Scalability<\/td>\nNVSwitch + InfiniBand enable scaling up to thousands of GPUs.<\/td>\nNVSwitch + InfiniBand enable scaling up to thousands of GPUs.<\/td>\nTypically limited to 4\u20138 GPUs within a single server.<\/td>\n<\/tr>\n
Use Cases<\/td>\nLarge language models, HPC, advanced research.<\/td>\nLarge language models, HPC, advanced research, and customized enterprise solutions.<\/td>\nMid-scale training, inference, data analytics, and visualization.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>

DGX SOLUTIONS<\/strong><\/h2><\/div>

DGX Solutions are GPU servers fully integrated by NVIDIA, optimized for AI and HPC. With easy deployment and maximum performance, they are ready to be applied directly to large-scale workloads.<\/p>\n<\/div><\/div><\/div>

<\/span><\/div>

NVIDIA DGX B300<\/h3>\n

AI system powered by NVIDIA Blackwell Ultra for training and inference of large generative AI and other transformer-based workloads.<\/p>\n<\/div>

Learn More>><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

<\/span><\/div>

NVIDIA DGX B200<\/h3>\n

Unified AI system built with NVIDIA Blackwell for every stage of the AI pipeline, from training to fine-tuning to inference.<\/p>\n<\/div>

Learn More >><\/a><\/strong><\/p>\n<\/div>

Learn More >><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

<\/span><\/div>

NVIDIA DGX H200<\/h3>\n

AI supercomputer optimized for large generative AI and other transformer-based workloads.<\/p>\n<\/div>

Learn More >><\/a><\/strong><\/p>\n<\/div>

Learn More >><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

<\/span><\/div>

NVIDIA DGX BasePOD<\/h3>\n

Proven reference architecture for AI infrastructure delivered by leading storage providers.<\/p>\n<\/div>

Learn More >><\/b><\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

<\/span><\/div>

NVIDIA DGX SuperPOD<\/h3>\n

Leadership-class AI infrastructure for on-premises and hybrid deployments, configurable with any NVIDIA DGX system.<\/p>\n<\/div>

Learn More >><\/a><\/strong><\/p>\n<\/div>

Learn More >><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>

<\/span><\/div>

NVIDIA Mission Control<\/h3>\n

Full-stack intelligence that simplifies AI operations with agility, resilience, and hyperscale efficiency for enterprises.<\/p>\n<\/div>

\u00a0<\/strong><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>

HGX SOLUTIONS<\/strong><\/h2><\/div>

HGX Solutions are built by integrating NVIDIA\u2019s HGX platform into server infrastructures by OEM vendors. This creates flexible and high-performance GPU servers that can be adapted to various workloads such as AI training, HPC, and data analytics.<\/p>\n<\/div>

\n\n\n\n\n\n\n\n\n\n\n
<\/th>\nHGX B300<\/th>\nHGX B200<\/th>\nHGX H200<\/th>\n<\/tr>\n
4-GPU<\/th>\n8-GPU<\/th>\n<\/tr>\n<\/thead>\n
Form Factor<\/td>\n8x NVIDIA Blackwell Ultra SXM<\/td>\n8x NVIDIA Blackwell SXM<\/td>\n4x NVIDIA H200 SXM<\/td>\n8x NVIDIA H200 SXM<\/td>\n<\/tr>\n
FP4 Tensor Core<\/td>\n144 PFLOPS | 108 PFLOPS<\/td>\n144 PFLOPS | 72 PFLOPS<\/td>\n16 PFLOPS<\/td>\n32 PFLOPS<\/td>\n<\/tr>\n
TF32 Tensor Core<\/td>\n18 PFLOPS<\/td>\n18 PFLOPS<\/td>\n4 PFLOPS<\/td>\n8 PFLOPS<\/td>\n<\/tr>\n
Total Memory<\/td>\nUp to 2.1 TB<\/td>\n1.4 TB<\/td>\n564 GB HBM3e<\/td>\n1.1 TB HBM3e<\/td>\n<\/tr>\n
Networking Bandwidth<\/td>\n1.6 TB\/s<\/td>\n0.8 TB\/s<\/td>\n0.4 TB\/s<\/td>\n0.8 TB\/s<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>

PCIe SOLUTIONS<\/strong><\/h2><\/div>

PCIe Solutions are cost-effective and flexible server solutions that use standard PCIe GPU cards. Thanks to their high compatibility, they can be easily integrated with different systems and deliver balanced performance for mid-scale AI training, inference, data analytics, and visualization workloads.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

Frequently Asked Questions (FAQ)
<\/strong><\/h2><\/div><\/div><\/div>

<\/i><\/i><\/span>What is the key difference between SXM GPUs and PCIe GPUs?<\/span><\/a><\/h4><\/div>
\n