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Unleashing the Future of AI
with Unrivaled Computing Speed

As AI research advances, the required datasets continue to grow in size and complexity, demanding longer training times. POSEIDON Ultimate Lineup with NVIDIA H100 delivers top-tier performance across all scales of deep learning, machine learning, and data analytics. With MIG (Multi-Instance GPU) technology, it enables GPU virtualization, accelerating isolated and partitioned workloads while ensuring maximum resource efficiency.

Unleashing the Future of AI with Unrivaled Computing Speed

As AI research advances, the required datasets continue to grow in size and complexity, demanding longer training times. POSEIDON Ultimate Lineup with NVIDIA H100 delivers top-tier performance across all scales of deep learning, machine learning, and data analytics. With MIG (Multi-Instance GPU) technology, it enables GPU virtualization, accelerating isolated and partitioned workloads while ensuring maximum resource efficiency.

High-Performance Data Analysis,
 Large-Scale Language Model Research

POSEIDON Ultimate Line-up

AI Pioneers' Ultimate Server
– Accelerate Research Workloads
with NVIDIA H100 GPU

4x H100 GPUs,
8x Faster
AI Model Training.

Optimized with the Transformer Engine, the NVIDIA H100 GPU has enhanced AI training performance in natural language processing by over 8 times. The POSEIDON Ultimate server by BARO AI, the first in Korea to feature 4 H100 GPUs, innovatively minimizes heat and noise, maximizing research efficiency without spatial constraints.

What is NLP (Natural Learning Processing)?

It is a field of artificial intelligence that enables machines to understand and interpret human language, with practical applications across various industries such as customer service, healthcare, and marketing.

A Silent Liquid-Cooled
Multi-GPU Server, Even Quieter Than a Library.

POSEIDON delivers powerful performance while being quieter than a library. According to measurements by the Environmental Acoustics Research Institute, POSEIDON maintains a low noise level of up to 39dB, even when running 4 GPUs at full performance. With its low noise and low heat output, POSEIDON provides a comfortable AI research environment from start to finish.

A New Generation
of H100
: Revolutionizing AI Training & Inference

With performance up to 7 times faster than the previous generation A100 GPU, the H100 handles data processing with remarkable speed. When training NLP models with NVLink, performance can increase up to 9 times.

The research team from Konkuk University and Konkuk University Medical Center claimed 1st place in the Alzheimer's Disease AI Evaluation(IEEE) World Competition,

The research team from Konkuk University used BARO AI's POSEIDON Ultimate server, equipped with the A100 GPU specialized for speech, acoustics, and signal processing in Natural Language Processing (NLP), to achieve victory over world-renowned universities such as MIT and New York University. They achieved an 87% accuracy rate in detecting Alzheimer's patients, with an error margin of just 3.7 in predicting the severity of dementia, demonstrating significantly higher accuracy compared to other teams. The team plans to present their findings at the prestigious ICASSP conference in the field of signal processing.

Research Fields
Utilizing POSEIDON

Large Language Model 

In the field of computer vision, deep learning technology primarily relies on image data. Techniques such as object detection, segmentation, and pose estimation are applied to various fields, including personal training services, autonomous driving, and medical equipment for disease diagnosis.

As the quality and volume of image data continue to increase, deep learning research demands greater computational power. In particular, training large-scale models like VGG and ResNet, which are based on CNN architectures, requires the use of GPU servers as an essential component.

Large Language Model (LMM)

Large Language Models (LLMs) are language models built on artificial neural networks with vast numbers of parameters. These models enable high-quality translations, AI-driven customer service chatbots, and intelligent voice assistant services, driving growing expectations in various industries.

However, training such massive models requires extensive computational resources, making clustering and distributed learning infrastructure increasingly critical for efficient model training.

3 year Warranty

Experience 3 Years of Reliable Warranty with BARO AI’s Advanced Technology.

Emergency Service

Swift On-Site Support for Any Emergencies – We’ve Got You Covered.

Quarterly Visit

Regular on-site checkups every three months ensure optimal performance and reliability.

Software Optimization

Customized software optimization based on customer requirements creates a convenient research environment.

Rack or Station
Find Your Fit.

Effortless

AI Deployment with

Complete Optimization

최적화 소프트웨어 Icon 우분투Ubuntu 20.04 with NVIDIA drivers pre-installed

최적화 소프트웨어 Icon 엔비디아 라이브러리NVIDIA development libraries pre-installed
(CUDA 11, cuDNN 8,
NCCL 2)

최적화 소프트웨어 Icon DockerDocker and NVIDIA-docker pre-installed

최적화 소프트웨어 Icon 머신러닝프레임워크Ready fo popular machine learning frameworks
(Tensorflow, PyTorch, Caffe, etc)

최적화 소프트웨어 Icon 지속적인 버전 업데이트Continuous support and update for drivers and pre-installed software

최적화 소프트웨어 Icon 쉬운설명제공Package and scripts for easy reinstall of the machine

BARO FLEX

Maximizing AI Research Efficiency

BARO Flex is an AI Total Software Solution that optimizes POSEIDON server resources through cloud and clustering technology. Build a perfectly tailored AI ecosystem for your research lab or enterprise.

Explore POSEIDON &
GPU Specs

High-Performance Data Analysis, Large-Scale Language Model Research

Ultimate Line-up

AI Pioneers' Ultimate Server – Accelerate Research Workloads with NVIDIA H100 GPU

4x H100 GPUs, 
8x Faster AI Model Training.

Optimized with the Transformer Engine, the NVIDIA H100 GPU has enhanced AI training performance in natural language processing by over 8 times. The POSEIDON Ultimate server by BARO AI, the first in Korea to feature 4 H100 GPUs, innovatively minimizes heat and noise, maximizing research efficiency without spatial constraints.

What is NLP (Natural Learning Processing)?

It is a field of artificial intelligence that enables machines to understand and interpret human language, with practical applications across various industries such as customer service, healthcare, and marketing.

A Silent Liquid-Cooled Multi-GPU Server,
Even Quieter Than a Library.

POSEIDON delivers powerful performance while being quieter than a library. According to measurements by the Environmental Acoustics Research Institute, POSEIDON maintains a low noise level of up to 39dB, even when running 4 GPUs at full performance. With its low noise and low heat output, POSEIDON provides a comfortable AI research environment from start to finish.

A New Generation of H100
: Revolutionizing AI Training & Inference

With performance up to 7 times faster than the previous generation A100 GPU, the H100 handles data processing with remarkable speed. When training NLP models with NVLink, performance can increase up to 9 times.

The research team from Konkuk University and Konkuk University Medical Center claimed 1st place
in the Alzheimer's Disease AI Evaluation(IEEE) World Competition,

Achieving victory with
just a single POSEIDON Ultimate server!

The research team from Konkuk University used BARO AI's POSEIDON Ultimate server, equipped with the A100 GPU specialized for speech, acoustics, and signal processing in Natural Language Processing (NLP), to achieve victory over world-renowned universities such as MIT and New York University. They achieved an 87% accuracy rate in detecting Alzheimer's patients, with an error margin of just 3.7 in predicting the severity of dementia, demonstrating significantly higher accuracy compared to other teams. The team plans to present their findings at the prestigious ICASSP conference in the field of signal processing.

Research Fields Utilizing POSEIDON

Computer Vision

In the field of computer vision, deep learning technology primarily relies on image data. Techniques such as object detection, segmentation, and pose estimation are applied to various fields, including personal training services, autonomous driving, and medical equipment for disease diagnosis.

As the quality and volume of image data continue to increase, deep learning research demands greater computational power. In particular, training large-scale models like VGG and ResNet, which are based on CNN architectures, requires the use of GPU servers as an essential component.

Large Language Model (LMM)

Large Language Models (LLMs) are language models built on artificial neural networks with vast numbers of parameters. These models enable high-quality translations, AI-driven customer service chatbots, and intelligent voice assistant services, driving growing expectations in various industries.

However, training such massive models requires extensive computational resources, making clustering and distributed learning infrastructure increasingly critical for efficient model training.

Rack or Station
Find Your Fit

Hover over to see details

Effortless
AI Deployment with 

Complete Optimization

최적화 소프트웨어 Icon-UBUNTUUbuntu 20.04 with
NVIDIA drivers pre-installed

적화 소프트웨어 Icon-엔비디아 라이브러리NVIDIA development libraries
pre-installed
(CUDA 11, cuDNN 8, NCCL 2)

최적화 소프트웨어 Icon-DockerDocker and NVIDIA-docker
pre-installed

최적화 소프트웨어 Icon-머신러닝프레임워크Ready for Popular
machine learning frameworks
(Tensorflow, PyTorch, Caffe, etc)

최적화 소프트웨어 Icon-지속적인 버전 업데이트Continuous support and
update for drivers and
pre-installed softwares

최적화 소프트웨어 Icon-쉬운설명제공Package and scripts

for easy reinstall of the machine

BARO Flex

Maximizing AI Research Efficiency

BARO Flex is an AI Total Software Solution that optimizes POSEIDON server resources through cloud and clustering technology. Build a perfectly tailored AI ecosystem for your research lab or enterprise.

Explore POSEIDON & GPU Specs