Introduction: The Future of AI Requires More Than Just Compute
AI is no longer just about raw processing power. Enterprise AI demands instant intelligence, seamless connectivity, and dynamic workload mobility across infrastructure. Traditional AI deployments—whether in the cloud or on-premises—fail to deliver the speed, flexibility, and scale required for mission-critical AI workloads..
Zero Gap AI Total Fabric is a complete AI deployment solution that integrates on-prem and near-prem edge compute with private AI networking, orchestration, and workload mobility. Built for organizations that require real-time AI execution without relying on distant cloud data centers, Total Fabric allows enterprises to deploy AI exactly where it is needed—close to operations, on dedicated infrastructure, with full control over performance, security, and cost.
Total Fabric runs on the Kinetic Grid, powered by Vapor IO edge data centers, and integrates seamlessly with Veea’s on-prem AI solutions. It supports AI deployments across manufacturing, logistics, healthcare, finance, retail, smart cities, and telecom, ensuring high-performance AI execution with seamless connectivity.
AI should not be confined to a distant cloud or limited by rigid on-prem constraints. It should move seamlessly across your enterprise, processing data instantly where it matters most.
Why Zero Gap AI Total Fabric?
AI infrastructure has traditionally forced enterprises to choose between public cloud AI and on-prem AI, each with significant limitations.
The Problem with Public Cloud AI
- AI workloads must be sent to distant cloud regions, increasing network latency and slowing real-time AI processing.
- Data privacy and compliance risks arise when sensitive AI models and training datasets leave private infrastructure.
- Cloud egress fees and unpredictable costs make scaling AI expensive and difficult to control.
The Problem with On-Prem AI
- On-prem AI provides control, but scaling requires massive upfront investments in GPU hardware and networking.
- AI workloads are often trapped in isolated environments, limiting collaboration between sites.
- Expanding on-prem AI across multiple locations is complex and requires dedicated IT resources.
Why Zero Gap AI Total Fabric?
Zero Gap AI Total Fabric combines the best of both worlds by integrating on-prem AI processing, near-prem AI compute, and private networking into a single, orchestrated AI infrastructure.
- AI runs where it is needed most—on-prem for low-latency inference and near-prem for scalable training and high-performance compute.
- AI workloads move seamlessly between locations with private fiber and 5G, ensuring low-latency AI execution without cloud bottlenecks.
- No need to build massive on-prem GPU clusters—Total Fabric provides scalable near-prem compute in 36 metro areas, reducing infrastructure costs.
- Security and data sovereignty are maintained with dedicated private AI networking that eliminates public cloud dependencies.
On-Prem & Near-Prem AI
Zero Gap AI Total Fabric offers a two-tier AI compute model that balances localized AI processing with high-performance computing at the edge.
On-Prem AI
On-prem AI enables enterprises to process AI workloads directly at the source, ensuring real-time decision-making without relying on external infrastructure. This is essential for AI-driven automation, industrial IoT, real-time analytics, and security applications.
Zero Gap AI Total Fabric integrates Veea’s edge computing platform to power on-prem AI, enabling distributed, containerized AI workloads that run close to devices and operations.
Capabilities include:
- Running AI inference and federated learning directly on Veea’s lightweight edge computing platforms
- Deploying containerized AI applications at factory floors, retail stores, and logistics hubs
- Processing real-time video, sensor data, and machine learning models locally
- SDDC provides flexibility and reliability for environments of any scale
- Compute mesh clusters dimensioned for the edge use case with CPUs, GPUs, TPUs, or NPUs
- NVMe-mesh, NVMe capacity provided through VeeaHub mesh clusters, offering high-performance storage for Edge CDN, federated learning, and more
- Data Lifecycle Management (DLM) from creation and collection to storage (on-prem or cloud) and final deletion or archival
- Digital Twin creation with AI-driven monitoring, endpoint control, and real-time event notification on a visual dashboard
Near-Prem AI
For workloads that exceed the capabilities of on-prem AI, Zero Gap AI’s near-prem GPU clusters, deployed inside Vapor IO edge data centers, provide high-performance AI compute in 36 major metro areas. Enterprises can dynamically orchestrate AI workloads across bare metal, VMs, and containers, ensuring every AI task runs in the optimal environment for efficiency, speed, and cost-effectiveness.
Capabilities include:
- Accessing NVIDIA H100, GH200, and L40s GPUs for inference, training, and multi-modal AI execution
- Running large-scale LLMs, multimodal models, and AI-powered video analytics
- Orchestrating AI workloads dynamically between on-prem and near-prem environments
- AI model hosting for real-time inference with API-driven access
- Scalable Kubernetes-based container orchestration for flexible AI deployments
- Private fiber and 5G connectivity ensuring ultra-low-latency AI execution
- Cross-region AI execution using a flat Layer 2 network across multiple metro areas
- Seamless scaling without egress fees—AI workloads move securely without unpredictable cloud costs
| Attribute | On-Premises | Cloud or Multi-Cloud | Zero Gap AI Total Fabric |
|---|---|---|---|
| Data Privacy and Security | |||
| Observability | |||
| Data Locality | |||
| On-Prem Performance | |||
| AI at Machine Speed | |||
| Ingress/Egress Fees | |||
| Scalable/Burstable | |||
| Fast Hardware Refresh | |||
| Capital Intensity | |||
| Operational Complexity | |||
| Consumable-as-a-Service | |||
| Network Included | |||
| Integrated Edge Networks |
This hybrid model ensures that AI workloads run as efficiently as possible, leveraging on-prem for real-time execution and near-prem for scalability.
AI Orchestration & Networking
AI workloads should move freely between on-prem and near-prem environments without manual intervention or reconfiguration. Zero Gap AI Total Fabric includes a fully integrated AI orchestration and networking framework that automates workload placement based on performance, cost, and availability.
- Multiaccess, Multi-protocol Wi-Fi APs, IoT Gateways (BLE, Matter, Thread, Zigbee, LoRaWAN, etc.)
- Backhaul options with fiber, 5G, or satellite
- AI-driven end-to-end cybersecurity with real-time event notification
- Advanced networking with unique implementation of network slicing across LAN/WAN
- Wired/wireless interfaces and telemetry data collection from most electromechanical systems
- SDDC full stack software platform with secured Docker containers for cloud-native apps with orchestration
- Cloud management of devices, applications, and mesh clusters
- Digital Twin creation with AI-driven monitoring and control of endpoints, including real-time event notification on a visual dashboard
Seamless AI Mobility
Zero Gap AI Total Fabric’s orchestration engine dynamically allocates AI workloads to the optimal compute tier—whether on-prem or near-prem—based on real-time demand. Enterprises benefit from:
AI elasticity, allowing workloads to scale without disruption
Automated workload balancing across sites, reducing latency and congestion
Private AI networking that eliminates reliance on public cloud networks
Private Connectivity & 5G AI Networking
Zero Gap AI Total Fabric is natively integrated with private fiber and 5G networking, ensuring low-latency AI communication across distributed sites. Enterprises using Zero Gap AI can:
Deploy private 5G for ultra-low latency AI applications
Use Layer 2 interconnects for direct AI workload communication across multiple locations
Avoid public cloud dependencies, ensuring data privacy and compliance
This private infrastructure, combined with Zero Gap AI Connectivity solutions, allows enterprises to deploy AI workloads with zero trust security and full data sovereignty.
Real-World Deployments
Zero Gap AI Total Fabric is designed for real-world, enterprise-scale AI deployments.
Smart Cities & Public Safety
✔ Real-time traffic and infrastructure monitoring with edge AI cameras
✔ AI-powered public safety analytics, reducing emergency response times
✔ Secure private fiber and 5G AI networking for seamless data processing
Industrial Automation & Manufacturing
✔ AI-driven predictive maintenance, reducing downtime and equipment failures
✔ Machine vision and robotics for automated quality control
✔ On-prem AI for real-time decision-making, combined with near-prem AI for scalability
Digital Twin & AI-Driven Simulation
✔ Create real-time digital replicas of physical assets, systems, and operations for AI-powered decision-making
✔ Simulate, monitor, and predict outcomes using continuously updated real-world data
✔ Enhance operational efficiency across industries by integrating Digital Twins with AI models at the edge
AI Infrastructure & Architecture
Zero Gap AI Total Fabric is built on a combination of on-prem edge compute devices and near-prem AI infrastructure, ensuring seamless workload execution across all environments.
On-Prem AI NodesLightweight AI processing deployed onVeea Edge AI
Near-Prem AI ClustersHigh-performance GPU servers deployed in Vapor IO edge data centers
AI OrchestrationDynamic workload allocation across on-prem and near-prem infrastructure.
Private AI NetworkingFiber and 5G connectivity for ultra-low latency AI communication.
AI Security FrameworkBuilt-in zero trust security and data encryption for sensitive workloads.
This hardware and networking stack allows enterprises to deploy and manage AI workloads with full control over performance, security, and scalability.
Get Started with Zero Gap AI Total Fabric
Deploying AI at scale isn’t just about raw compute power. It’s about placing AI exactly where it delivers the best results—without latency, without compromise, and without the constraints of public cloud providers.
We will work with you to build the right AI deployment model, ensuring your infrastructure is optimized for performance, security, and scalability.
Your AI Deployment Journey
Let’s break it down into three key steps:
Define Your AI Needs
We’ll assess your AI requirements, whether you need on-prem, near-prem, or a hybrid solution.
Choose Your Infrastructure
Do you need real-time edge AI, high-performance GPUs, or private networking? We’ll help you select the best-fit solution.
Build & Scale
Our AI experts will design, deploy, and scale your AI infrastructure so it works exactly as you need it to.
Let’s Build AI Without Limits
Break free from cloud bottlenecks and rigid infrastructure. Deploy AI.