AI-RAN

Accelerating Edge Intelligence with Distributed UPF and NVIDIA Grace Hopper

6WIND AI-RAN Solution

AI-RAN is transforming the telecommunications industry by embedding Artificial Intelligence (AI) directly into the Radio Access Network (RAN).

In partnership with NVIDIA, 6WIND delivers an AI-RAN architecture that combines its high-performance dUPF with the NVIDIA Grace Hopper Superchip, enabling intelligent, scalable, real-time networks. This solution lets operators converge telecom and AI workloads at the edge to meet growing demand.

Why 6WIND Virtual CGNAT?

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6WIND AI-RAN Solution

Distributed UPF for AI-Native Networks

6WIND’s cloud-native UPF is designed for edge deployment, delivering ultra-low latency, reduced hardware footprint, and flexible integration. It supports x86 and ARM architectures on containers, VMs, bare metal, or hybrid cloud, and is fully 3GPP-compliant for seamless 5G integration.

With sub-30µs latency at 100 Gbps and efficient resource use (only 4 CPU cores, <80W power), it enables real-time AI workloads at the edge, lowers transport costs, and ensures rapid, resilient service delivery for industrial, enterprise, and consumer applications.

Why 6WIND Virtual CGNAT?

0%
Performance Increase
0
Gbps – Throughput
0
Cps – Establishment Rate
0%
Lower CTO

Key Challenges

Evolving Network demands

Real-Time Responsiveness

Applications like agentic AI, autonomous systems, remote robotics, and immersive AR/VR demand consistent sub-millisecond performance. Network functions must keep up with rapid data flows and instantaneous decisions.

Inefficient Architectures

Centralized UPF models introduce bottlenecks, elevate capital and operational expenses, and cause significant backhaul congestion—especially for high-bandwidth AI traffic.

Edge Compute Requirements

AI workloads at the edge require compact platforms with parallel processing and high memory bandwidth, optimized for both networking and inferencing tasks.

Sustainability Goals

Operators must balance performance with energy efficiency, minimizing their carbon footprint with lean, software-based solutions that reduce power consumption, space usage, and thermal load.

Value Delivered to Operators

Overcome these challenges with 6WIND

Monetize Edge AI

Support advanced services such as smart city analytics, robotics, industrial automation, and immersive experiences. Enable agentic AI and edge-native applications with localized data breakout and low-latency connectivity. Open new business models around AI inference-as-a-service and distributed analytics.

Lower TCO

Eliminate the need for centralized packet processing. Deploy software-based UPFs on commercial off-the-shelf (COTS) hardware to reduce capital and operational expenses. Achieve pay-as-you-grow scalability and avoid vendor lock-in.

Accelerate Deployment Cycles

Quickly roll out AI-enabled services using virtualized or containerized architectures. Co-host AI and telecom functions on the same Grace Hopper platform for compact, unified nodes that simplify edge deployments.

Meet Sustainability Targets

Use energy-efficient software architectures to reduce power and cooling requirements, advancing ESG compliance and green networking goals. Reduce emissions, carbon footprint, and operational complexity.

Future-Ready Architecture

Position your network for 6G evolution with scalable support for cooperative AI, digital twins, distributed sensors, and fully autonomous networks. Adapt to new service categories without rebuilding infrastructure.

6WIND User Plane Function (UPF) is designed to facilitate seamless and high-performance data transmission between devices and the network.

See product details

6WIND AI-RAN Solution

Distributed UPF for AI-Native Networks

6WIND’s cloud-native UPF is designed for distributed deployment across edge environments. Built on a high-efficiency packet processing engine, it ensures ultra-low latency, reduced hardware footprint, and unmatched flexibility across deployment scenarios.

Professional Services

Seamless implementation and ROI

6WIND offers tailored Professional Services, including consultation, design, deployment, and support, to ensure seamless implementation and ROI.

Experts guide your team, providing training for confident network management. 6WIND’s robust ecosystem of hardware and software vendors ensures compatibility with top-quality COTS servers and components for flexible, optimized performance. Additionally, a global network of partners provides localized support, helping you meet your broadband goals with resources and assistance tailored to your needs, ensuring effective and efficient outcomes.

Some Use Cases

Real-World Applications of AI-RAN

Edge Agentic AI

Real-time, context-aware inference at the network edge, enabling rapid automation and intelligent actions.

Autonomous Systems

Low-latency support for mission-critical robotics, UAVs, and connected machines in industrial and defense sectors.

Smart Cities

Decentralized processing for traffic control, environmental monitoring, energy optimization, and public safety.

AR/VR & Immersive Media

Consistent, ultra-low latency experiences for gaming, training, and collaboration use cases.

Private AI-RAN

Scalable, secure AI-driven 5G deployments for enterprise, healthcare, logistics, and industrial edge environments.

AI Data Lakes at the Edge

Ingest and pre-process data near the source before sending it to the cloud, enabling real-time analytics and cost savings.

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Resources

White Paper

Enabling AI Adoption in Service Provider Networks

Blog

Deploying AI-RAN at the Edge

Datasheet

Virtual UPF