Manuverse

Platform Architecture

Category	Service Details	Service Features
GPU-Dedicated Data Center	Cloud computing service & security High-performance (GPU) computing instance service Automated management service	High-performance GPU data center optimized for AI model training and inference across machine learning and deep learning Efficient GPU resource management via management services
Edge IIoT Gateway	Manufacturing data collection service (Modbus, CoAP, MQTT, etc.) Edge computing & security service IIoT connectivity service	Simple and easy data collection environment for manufacturing data Diverse DB environments tailored to manufacturing collection setups Connectivity and monitoring services for various equipment and processes
Data Lake	Flexible data integration service Real-time large-scale storage/analysis service Data distribution service	Seamless integration with Edge IIoT Gateway via Kafka-based data collection messaging service Advanced analytics capabilities for in-depth analysis of collected data
Time-Series Data-Based AI Service	Real-time manufacturing data pre-processing service AI model development & training service Monitoring & visualization optimization service	Custom AI model development support reflecting manufacturing environments and processes Data drift detection for continuous AI model performance improvement through ongoing learning and feedback
Image Data-Based AI Service	Image data collection & pre-processing service AI model development & training service AI model automation & user-friendly result visualization	Precise image analysis using the latest deep learning algorithms Inspection support optimized for diverse product lines and production environments Model development leveraging existing system data through Data Lake integration
LLM-Based AI Agent Service	Local LLM service Internal knowledge service via RAG feature integration Real-time data integration service	LLM (natural language) service available in private environments Proprietary internal knowledge DB utilization via RAG functionality Real-time search and integration of the latest information through MCP implementation

Why ManuVerse?

The Ultimate Alternative to Expensive Cloud Solutions

Why ManuVerse?

The Ultimate Alternative to Expensive Cloud Solutions

The Inevitable Transition to On-
Premise

While public clouds offer a convenient starting point for initial deployments, the reality of scaled data analytics often leads to unpredictable and skyrocketing cloud invoices. For sustainable, long-term operations, transitioning to a dedicated on-premise infrastructure is not an option—it is a financial necessity.

70% Cost Reduction Compared to Major Cloud Providers

Currently, AWS is the only major cloud provider offering a comparable hybrid service ecosystem (combining data center infrastructure with manufacturing solutions). However, by choosing ManuVerse, your organization can achieve up to a 70% reduction in total cost of ownership (TCO) while maintaining the exact same GPU

The Unmatched Edge:
True End-to-End Infrastructure

Unlike cloud-first providers, ManuVerse delivers a truly unified architecture. Major providers like AWS do not offer the critical starting point of the architecture—the Edge IoT Gateway. ManuVerse bridges this gap, seamlessly connecting your physical shop floor directly to your dedicated data infrastructure from day one.

The Inevitable Transition to On-Premise

While public clouds offer a convenient starting point for initial deployments, the reality of scaled data analytics often leads to unpredictable and skyrocketing cloud invoices. For sustainable, long-term operations, transitioning to a dedicated on-premise infrastructure is not an option—it is a financial necessity.

70% Cost Reduction Compared to Major Cloud Providers

Currently, AWS is the only major cloud provider offering a comparable hybrid service ecosystem (combining data center infrastructure with manufacturing solutions). However, by choosing ManuVerse, your organization can achieve up to a 70% reduction in total cost of ownership (TCO) while maintaining the exact same GPU

The Unmatched Edge: True End-to-End Infrastructure

Unlike cloud-first providers, ManuVerse delivers a truly unified architecture. Major providers like AWS do not offer the critical starting point of the architecture—the Edge IoT Gateway. ManuVerse bridges this gap, seamlessly connecting your physical shop floor directly to your dedicated data infrastructure from day one.

TCO Results

(AWS vs ManuVerse DC) – H200 (24EA, Phase1), Based 3-year

TCO Results

(AWS vs ManuVerse DC) – H200 (24EA, Phase1), Based 3-year

Category	On-Premise 3-Year TCO Analysis (ManuVerse Data Center)		AWS Cloud 3-Year TCO Analysis AWS (Public Cloud)
Category	Details	Cost	Details	Cost
Initial/Upfront Cost (CapEx)	1) Servers & GPUs: 6x bare-metal servers equipped with 24x H200 GPUs (including CPUs, RAM, and local NVMe storage). 2) Network Infrastructure: InfiniBand and high-speed Ethernet switches for parallel node processing. 3) Setup Costs: Rack deployment, cabling, and initial stabilization engineering. 4) Infrastructure & GPU mgmt. tools: AI-STACK & TTM	1 unit	Compute Costs (CapEx equivalent):AWS (3x 8-GPU Instances) Even with the steepest 3-year upfront discount, securing three 8-Way AI instances requires a massive fixed commitment.	1 unit x 2
3-Year OpEx	1) Colocation & Power: Space and electricity for 6 high-density servers (approx. 4-5kW per server), factoring in standard Power Usage Effectiveness (PUE) rates. 2) Maintenance (MA) & Licensing: Renewal of NVIDIA AI Enterprise (NVAIE) licenses and partner technical support within the standard 3-year hardware warranty period.	1 unit	Storage & Network (OpEx): Storage: High-performance storage for massive training datasets (e.g., Amazon FSx for Lustre or large EBS volumes). Data Transfer (Egress): Continuous costs for outbound data transfer and inter-node communication within the VPC.	1 unit x 2
ManuVerse (Platform)	Edge IIoT gateway DataOps (DataLake etc.) AI Services (options)	Basic option		Excluded
Local LLM
Asset Ownership		Permanent (Residual value remains)		None (Lease expires)
3-Year TCO Results		Total cost		Total cost x 2