{"id":2582,"date":"2024-07-20T14:44:50","date_gmt":"2024-07-20T06:44:50","guid":{"rendered":"https:\/\/ai-stack.ai\/home"},"modified":"2026-01-12T16:41:56","modified_gmt":"2026-01-12T08:41:56","slug":"home","status":"publish","type":"page","link":"https:\/\/ai-stack.ai\/en","title":{"rendered":"AI-Stack 10x ROI in AI"},"content":{"rendered":"\t\t
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AI-Stack<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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10x ROI in AI <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Leave the complicated GPU infrastructure to us, and focus on training your AI model. <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"AI-Stack\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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AI-Stack: GPU resource scheduling and AI Infrastructure Management Platform<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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AI-Stack is the industry-leading AI infrastructure management software and an essential tool for enterprises adopting AI services. It integrates GPU partitioning (NVIDIA\/AMD), GPU aggregation, cross-node computing, an intuitive user interface, containerization and MLOps workflows, open-source deep learning tools, and environment deployment features.<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Enhance your investment value <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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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.<\/span><\/p>

#AI Transformation\u00a0 #GPU Resource Management<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tDevelop you AI services on AI-Stack >> <\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n \n 5-fold GPU utilization
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\n 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. <\/div>\n
#GPU Partitioning #GPU Utilization<\/div>\n Learn more about GPU slicing<\/i><\/a>\n <\/div>\n <\/div>\n \n
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\n Innumerable GPU workloads
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\n The intelligent dynamic resource scheduling technology divides GPU\u2019s memory and cores for simultaneous use among users, enabling concurrent execution of numerous jobs and flexible computing of increasing data. <\/div>\n
#Dynamic resource scheduling #simultaneous use among users<\/div>\n Read more about the control plane<\/i><\/a>\n <\/div>\n <\/div>\n \n
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\n Set up AI dev environment within 1 min
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\n Based on the Kubernetes architecture and integrated with pre-configured open-source development frameworks and containerization technology, you can quickly set up an AI development environment in one minute. This drastically reduces the configuration burden on IT staff, allowing development teams to start projects immediately and maximize workflow efficiency. <\/div>\n
#Simplify dev environment #Reduce setup time<\/div>\n Learn how to set up AI dev environment<\/i><\/a>\n <\/div>\n <\/div>\n \n
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Encompass all AI management tools, including hardware and software<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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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. <\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Development and Ecosystem Layers<\/span><\/div>\n \n
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AI Development Ecosystem Layer<\/div>\n
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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.<\/div>\n
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Control Plane<\/span><\/div>\n \n
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AI-Stack Control Plane Layer<\/div>\n
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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.<\/div>\n
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AI-Stack API<\/div>\n
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Projects<\/div>\n
Users<\/div>\n
Resource<\/div>\n
Quota<\/div>\n
Authentication & Authorization<\/div>\n <\/div>\n <\/div>\n \n
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AI-Stack Control Plane<\/div>\n
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Monitoring Dashboard<\/div>\n
Multi-GPU Computing<\/div>\n
GPU Partitioning<\/div>\n
Multi-Tenant<\/div>\n
Multi-Node<\/div>\n
Custom Image<\/div>\n
Batch Job<\/div>\n
Scheduling<\/div>\n
SSO\/LDAP<\/div>\n
CTAs<\/div>\n <\/div>\n <\/div>\n <\/div>\n \n
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Workload Orchestration<\/div>\n
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Infrastructure Cluster<\/span><\/div>\n \n
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Infrastructure Cluster Layer<\/div>\n
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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.<\/div>\n
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AI-Stack Cluster Engine<\/div>\n
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AI Workload<\/span> Scheduler<\/div>\n <\/div>\n
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Server Cluster<\/div>\n
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GPU Server Cluster<\/div>\n \"\"\n <\/div>\n
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Storage Server Cluster<\/div>\n
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AI Developer Ecosystem Layer<\/div>\n
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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.<\/div>\n
\n \n <\/div>\n <\/div>\n <\/div>\n <\/div>\n \n
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AI-Stack Control Plane Layer<\/div>\n
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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.<\/div>\n
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AI-Stack API<\/div>\n
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Projects<\/div>\n
Users<\/div>\n
Resource<\/div>\n
Quota<\/div>\n
Authentication & Authorization<\/div>\n <\/div>\n <\/div>\n \n
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AI-Stack Control Plane<\/div>\n
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Monitoring Dashboard<\/div>\n
Multi-GPU Computing<\/div>\n
GPU Partitioning<\/div>\n
Multi-Tenant<\/div>\n
Multi-Node<\/div>\n
Custom Image<\/div>\n
Batch Job<\/div>\n
Scheduling<\/div>\n
SSO\/LDAP<\/div>\n
CTAs<\/div>\n <\/div>\n <\/div>\n <\/div>\n \n
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Workload Orchestration<\/div>\n
\n \n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n \n
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Infrastructure Cluster Layer<\/div>\n
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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.<\/div>\n
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AI-Stack Cluster Engine<\/div>\n
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AI Workload<\/span> Scheduler<\/div>\n <\/div>\n
\n \"\"\n Storage permissions\n <\/div>\n
\n \"\"\n Container Orchestration\n <\/div>\n
\n \"\"\n GPU Fractioning\n <\/div>\n <\/div>\n <\/div>\n \n
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Server Cluster<\/div>\n
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GPU Server Cluster<\/div>\n \"\"\n <\/div>\n
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Storage Server Cluster<\/div>\n
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\n NFS, MinIO\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n \n<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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An AI management and operation platform applicable across fields <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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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. <\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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