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.
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)
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
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
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.
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
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
harsper@harspser.co.kr