Construction Vehicle Safety System

The rear view camera and surround view system just displays the camera stream on the screen, but this technology detects surrounding objects and alerts the driver of hazards.

This technology uses a deep learning based object detection model to identify objects. It is implemented as an embedded system with AI accelerators and machine learning frameworks.

Reason for start-up?

Our members have long been devoted to the research and development of High Performance Computing systems(High-performance Server & Storage), and the AI (Artificial Intelligence) era has come to be. So, we want to help the AI (artificial intelligence) market evolve more actively by providing cheap and high performance infrastructure through our technology and products. We also want to do something that will help the artificial intelligence market to prosper and benefit the society by providing an efficient infrastructure to harmonize the technologies and requirements of various fields.

HARSPER Co., Ltd. is a place where such people can gather together to achieve harmony.

Meetaap Parallax

Technology

High Performance Computing Infrastructure Design Technology
– High-performance system design technology using Multi-GPU
– High-speed I / O interface design technology
– Edge Computing System design technology
– PCI-Express Switching design technology

Application technology optimization using FPGA
-Logic Architecture implementation technology using FPGA
-Co-processor implementation technology through various logic operations

Deep learning and machine learning based application solution development
– Smart Farm development
– Digital Signage development

Clustering-based high-performance computing deployment technology

Patent

Computing system comprising multi high speed processing devices and control module (2018. 11)

Meetaap Parallax

Problems & Solutions

  • In the meantime, in terms of research areas such as AI, Machin Learning, Deep Learning and service operations, we had to pay for expensive infrastructure costs for quick results analysis or we had to assume that the results of research, development and services could be late.
  • Reduce system operating costs by maximizing utilization of system space and lower cost of high-performance infrastructure

Problem

  • Delayed analysis time due to use of low-cost infrastructure
    > Opportunity cost loss
  • For fast analysis results, you have to pay for expensive infrastructure costs

Solution

  • High Performance & Low Price System
    > Reduced analysis time
    > System cost is lower than comparable performance systems
  • Scalability & Low Power consumption
    > Reduced system operation cost

Result

  • Low Price system
  • Reduced system operation cost
  • More accurate is better
  • Faster is better
  • Computationally Intensive
  • Communication Intensive

Harsper Line up

HPC (High Performance Computing) Product

History

2018

July

주식회사 하스퍼 설립

2018

November

Mempire Edge™
개발완료

2019

March

Mempire™ MG140
제품출시

2019

March

기업부설 연구소
설립

2019

April

벤처기업 등록

2019

May

Argos-i™ FL
제품출시

2019

May

Mempire MG140
SPEC 국제공인인증
획득

2019

September

하스퍼 공장등록

2019

October

인공지능 CCTV
선별관제
어플라이언스
공동개발
(with 네이즈)

2019

November

직접 생산
확인증명

2020

March

Mempire™ MG440 제품출시

2020

April

유전체분석 시스템 납품

HARSPER Product Features

High Performance Computing System

GPGPU based, High-speed operation system for AI, Machine Learning, Deep Learning, etc.

2U-16GPGPU

– 8 GPGPU modules can be installed in 1U System
– 16 GPGPU modules can be installed in 2U System

Low Power Consumption

System design using low-power modules reduces power consumption compared to comparable systems

High-speed multiprocessor and interface expansion technology

Patented technology that utilizes PCI-E expansion technology to effectively configure multiple GPGPU devices

Meetaap Parallax

Case by

Authoritatively streamline high standards in information before standards compliant benefits. Proactively e-enable standards compliant technology without value-added internal or organic sources.

Case by

Authoritatively streamline high standards in information before standards compliant benefits. Proactively e-enable standards compliant technology without value-added internal or organic sources.

Meetaap Parallax

Market Requirement

Real-time Data collection

Real-time data analysis

Heavy data handling

Server & storage investment based on scale-out approach

Cloud platform for big data analysis needs better H/W performance & consistency (Scale-up)

Large Data handling with performance

Consistent data handling capacity

Data security

Large volume of data gathering from manufacturing lines

Field

Government

Service Provider

Biological Sciences

Communication

Media

Broadcast

Manufacture

Finance

Defense

Transportation

Application

AI

Deep & Machine learning

Autonomous driving

Big data

IoT, OTT

Simulation

VR

Medical & Healthcare

Aerospace

Security

Result

Government Research institute

Education research institute

Genome analysis vendor

Data Center

Broadcast stations

Meteorological office

ISP(Netflix..)

CAE

Aerospace

Telecommunication company

Results of Machine Learning

What did you actually achieve using Machine Learning?

45%

ML adopters say the technology has led to more extensive data analysis and insights

More extensive data analysis :: more insights 45%
Faster data analysis : increased speed to insight 35%
Enhanced R&D capabiliities (next-gen products) 35%
Improved efficiency of intemal processes (operations) 30%
Better understanding of customer 27%
Competotove advantage 26%
Cost reduction 23%
Improved efficiency of external processes 19%

In a study by Google and MIT, we looked at the actual results for organizations that currently use machine learning, 45% said that machine learning led to extensive data analysis and insight, 35% answered that faster data analysis is possible.

BENCHMARKS

Benchmarks with Tensorflow (Mempire™ MG140-G1)

This benchmark is a measure of the GPU’s computing power using TensorFlow, deep learning library provided by google.

Benchmarks with 3DMark (Mempire™ Edge-G1)

This benchmark is a measure of the GPU’s computing power using 3DMark.

Contact us

Address

경기도 성남시 수정구 창업로 42, 519호
519-ho, 42, Changeop-ro, Sujeong-gu, Seongnam-si, Gyeonggi-do

Contact Numbers

TEL +82-31-778-7117

E-Mail

harsper@harspser.co.kr