AI-Stack│an AI infrastructure and GPU resource scheduling platform│Infinitix Inc.

AI-Stack

10x ROI in AI

Leave the complicated GPU infrastructure to us, and focus on training your AI model.

AI-Stack: GPU resource scheduling and AI Infrastructure Management Platform

AI-Stack is a leading AI infrastructure management platform that simplifies enterprise AI adoption. It unifies GPU (NVIDIA & AMD) and NPU resource management with core type aware scheduler(CTAs), GPU partitioning/aggregation, cross-node computing, standardized deployment, and MLOps—accelerating AI development at scale.

Enhance your investment value

AI-Stack provides highly flexible and scalable solutions for enterprises and teams. With a single platform, you can quickly implement various AI service needs while simultaneously solving common problems encountered in hardware resource management and AI development deployment. This maximizes the return on your AI investment, achieving up to a 10x ROI according to customer feedback.

#AI Transformation #GPU Resource Management

5-fold GPU utilization

Leverage AI-Stack's GPU partitioning technology to immediately end compute waste and uneven resource allocation! Boost GPU utilization from an inefficient 30% to an impressive 90%, maximizing your return on expensive hardware investment.

#GPU Partitioning #GPU Utilization

Learn more about GPU slicing

Innumerable GPU workloads

The intelligent dynamic resource scheduling technology 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

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

AI Development Ecosystem Layer

Covering IDEs, training frameworks, HPC, large language models, experiment tracking, workflow orchestration, and model inference services. It enables efficient AI/ML pipelines with end-to-end support from development to deployment, empowering data scientists to focus on innovation and accelerate value creation.

Control Plane

AI-Stack Control Plane Layer

Provides GPU resource partitioning and multi-tenant management to maximize GPU utilization; supports custom images and batch job scheduling to accelerate Al development and deployment; seamlessly integrates with Kubernetes / OCP to optimize Al workload orchestration.

AI-Stack API

Projects

Users

Resource

Quota

Authentication & Authorization

AI-Stack Control Plane

Monitoring Dashboard

Multi-GPU Computing

GPU Partitioning

Multi-Tenant

Multi-Node

Custom Image

Batch Job

Scheduling

SSO/LDAP

CTAs

Workload Orchestration

Infrastructure Cluster

Infrastructure Cluster Layer

A unified platform to manage heterogeneous compute resources (NVIDIA, AMD GPU/NPU, PHISON aiDAPTIV+), enabling high-performance Al computing with NFS and MinIO storage for efficient data flow.

AI-Stack Cluster Engine

AI Workload Scheduler

Storage permissions

Container Orchestration

GPU Fractioning

Server Cluster

GPU Server Cluster

Storage Server Cluster

NFS, MinIO

AI Developer Ecosystem Layer