AI-Stack

10x ROI in AI

Leave the complicated GPU infrastructure to us, and focus on training your AI model.
Learn more
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AI-Stack, an AI infrastructure and GPU resource scheduling platform

AI-Stack provides highly scalable and flexible solutions for enterprises and teams. You can use the platform alone to accomplish diverse AI services and demands rapidly, work out problems, and tackle challenges encountered in developing and deploying AI services. In addition, our company has received the honor from NVIDIA as a Preferred Solution Advisor.

Enhance your investment value

Maximize the ROI of your AI – achieving a 10-fold ROI according to our customers – by integrating AI-Stack’s GPU fractioning, multitasking techniques, cross-node computing mechanisms, rapid deployment, and the visualized monitoring interface. 

 #Transformation with AI integration #Dominate your GPU and reap benefits 

Develop you AI services on AI-Stack >>
5-fold GPU utilization
Can your GPU be used by only one person at a time? Too much idle computing power? Worry not! Let AI-Stack help you flexibly utilize the computing power, effortlessly calculate usage sizes, and 24/7 schedule jobs.
#GPU Partitioning #GPU Utilization
Learn more about GPU slicing
Innumerable GPU workloads
The unique 3rd generation technology of dynamic GPU resource scheduling divides GPU’s memory and cores for simultaneous use among users, enabling concurrent execution of numerous jobs and flexible computing of increasing data.
#Dynamic resource scheduling #simultaneous use among users
Read more about the control plane
Set up AI dev environment within 1 min
It only takes a minute without assistance from IT personnel to easily set up an AI environment integrated with various complex development frameworks and containerized operations and applications.
#Simplify dev environment #Reduce setup time
Learn how to set up AI dev environment

Encompass all AI management tools, including hardware and software

AI-Stack is a one-stop-shop platform providing comprehensive services across physical hardware to software programs and platforms. It enables AI infrastructure management, project development, workflow supervision, resource allocation, model training, group collaboration, model inference, and more, as scalable and expandable solutions for enterprises and project teams.

Development and
Ecosystem Layers
Develop tools & AI Ecosystem
DEV tools
Open Source Frameworks
LLM Catalog
Llama 3
Falcon-40b-in-struct
Mixtral
AI Ecosystem
Control Plane
AI-Stack Control Plane
AI-Stack api
Projects
Users
Resource
Quota
Authentication & Authorization
AI-Stack Control Plane
GPU Fractioning
Multi-tenant
Custom Image
Batch Job
Multi-GPU Computing
Multi-node
Scheduling
SSO
Infrastructure Cluster
Infrastructure Cluster
AI-Stack Cluster Engine
AI Workload Scheduler
Storage permissions
Container Orchestration
GPU Fractioning
Server Cluster
GPU Server Cluster
Tesla (H100, A100, V100...), Qradro,GeForce
Storage Server Cluster
BeeGFS, Ceph,Lustre, NFS, CIFS
Develop tools & AI Ecosystem
DEV tools
Open Source Frameworks
LLM Catalog
Llama 3
Falcon-40b-in-struct
Mixtral
AI Ecosystem
AI-Stack Control Plane
AI-Stack api
Projects
Users
Resource
Quota
Authentication & Authorization
AI-Stack Control Plane
GPU Fractioning
Multi-tenant
Custom Image
Batch Job
Multi-GPU Computing
Multi-node
Scheduling
SSO
Infrastructure Cluster
AI-Stack Cluster Engine
AI Workload Scheduler
Storage permissions
Container Orchestration
GPU Fractioning
Server Cluster
GPU Server Cluster
Tesla (H100, A100, V100...), Qradro,GeForce
Storage Server Cluster
BeeGFS, Ceph,Lustre, NFS, CIFS

An AI management and operation platform applicable across fields

Successful cases of AI-Stack have been implemented in many industries with endorsements from enterprises and organizations to fulfill diverse requirements of GPU management and create enterprise-specific models.

  • Semiconductor
  • Optoelectronics
  • Manufacturing
  • Finance
  • Energy
  • Transportation
  • Video Surveillance
  • Pharmaceuticals
  • Academic Research
  • Education • Government Agencies
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AI-Stack makes good use of GPU resources to the utmost efficiency and eliminates the complicated follow-up management processes.
Zong-Ren Wang
Zong-Ren Wang assistant to the Chairman of Himax Technologies
nfinitix has been enthusiastic about fields of AI and considerately engages in helping us go deep into the AI applications and environment of NCKU and launch the system smoothly.
Processor Pau-Choo Chung
Processor Pau-Choo Chungformer Director of the Computer and Network Center at NCKU
Infinitix’s AI-Stack arranges the priority of using DGX machines for AI engineers to avoid resource panic and maximize the benefits.
Pin-An Wu
Pin-An WuVice President of Hualien Tzu Chi Hospital
Thanks to Infinitix Corporation's sincere approach, we were able to obtain satisfactory solutions to the challenging tasks presented by our school one after another. We are very satisfied with Infinitix Corporation's services.
Professor Wang Yongzhong
Professor Wang YongzhongDirector of the Computer Network Center, Taipei University of Technology
Through the comprehensive functional design (of AI-Stack), it is expected to appropriately meet task demand distribution and prevent resource misuse. We control resource utilization efficiency in terms of cost and time.
Professor Chen Qizhang
Professor Chen QizhangProfessor and Head of Department of Information Engineering, Director of Institute I-Shou University

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