The University of Information Technology (UIT) under the Vietnam National University-Ho Chi Minh City (VNU-HCMC) has recently acquired the NVIDIA DGX A100 AI supercomputer, which boasts the Ampere architecture, the largest seven-nanometer chip ever built. 

This universal system, developed by American semiconductor company Nvidia Corp., whose chips are considered the gold standard in the Artificial Intelligence (AI) industry, caters to all AI infrastructure needs, encompassing analytics, training, and inference tasks. 

It boasts high-density computing capabilities, delivering up to five petaFLOPS, equivalent to five quadrillion floating-point operations per second, of AI processing performance within a compact 6U chassis, streamlining AI workloads effectively. 

Dr. Nguyen Hoang Tu Anh, president of UIT, highlighted the server’s pivotal role in running AI applications and algorithms as part of the university’s digital transformation initiative, which is funded by budget allocations from VNU-HCMC. 

The acquisition marks UIT as the first university in Vietnam to own the NVIDIA DGX A100 AI supercomputer, Anh noted. 

The procurement process entailed a nine-month negotiation period to secure approval from Nvidia Corp. and facilitate the shipment of the supercomputer from the U.S..

The condition for the acquisition was the university's commitment to utilizing it exclusively for internal scientific research purposes. 

Powered by the NVIDIA A100 Tensor Core GPU, this supercomputer represents a breakthrough in AI processing, boasting unrivaled compute density, performance, and flexibility as the world’s first five petaFLOPS AI system. 

With its advanced accelerator and support from NVIDIA DGXperts, a global team of over 14,000 AI experts and programmers, the DGX A100 optimizes AI workloads and ensures maximum investment value. 

Integrated with Mellanox ConnectX-6 VPI HDR InfiniBand/Ethernet network adapters, this server offers unprecedented data center scalability, making it an essential component for large AI clusters like the NVIDIA DGX SuperPOD.

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