Networking for AI

Accelerating AI Infrastructure with Secure, Scalable Frontend Networking

Networking for AI

AI infrastructure evolves rapidly, spanning generative models, agentic applications, sovereign AI, and GPU-as-a-Service platforms. To connect users, data sources, and inference clusters efficiently and securely, organizations seek scalable networking solutions. Hyperscalers develop custom stacks, while others choose between building from scratch or adopting purpose-built solutions like 6WIND’s Networking for A.I.

This solution, developed with NVIDIA for BlueField-3 DPUs, integrates the Virtual Service Router (VSR) and Host Networking Accelerator (HNA). It offers low-latency, multi-tenant networking tailored for Kubernetes-based AI workloads.

Why 6WIND Virtual CGNAT?

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

AI-Optimized Frontend Networking Built for Scale and Speed

As AI becomes central to enterprise innovation, cloud providers and infrastructure leaders are scaling their environments for new workloads like real-time assistants and multimodal inference pipelines. High-performance GPU clusters in these environments require fast, secure frontend access for users, APIs, data ingestion, and training orchestration.

6WIND utilizes NVIDIA’s BlueField-3 to deliver Networking for A.I., ensuring infrastructure-grade security, observability, and automation at the network edge—where inference begins.

Their solution integrates the Virtual Service Router (VSR) for secure entry and exit points and the Host Networking Accelerator (HNA), a DPDK-powered router supporting VXLAN or SRv6 overlays for VPC-level traffic isolation in Kubernetes clusters.

Why 6WIND Virtual CGNAT?

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

Key Challenges

Accelerating ROI and Performance in AI Infrastructure

High Packet Rates from Multi-User inference APIs

AI APIs generate massive volumes of small, latency-sensitive packets—overwhelming CPU-bound network stacks.

Real-time service chaining and policy enforcement

AI pipelines rely on dynamic traffic flows through multiple services (e.g., auth, logging), which legacy systems can’t handle efficiently.

Tenant-level segmentation and observability

Supporting multiple users or teams requires fine-grained isolation, monitoring, and access control—difficult to achieve without added overhead.

Cost-efficient scaling aligned with AI economics

Legacy networks don’t scale cost-effectively with GPU demand, leading to wasteful overprovisioning or performance bottlenecks.

Driving Efficiency, Reducing Costs, and Mitigating Risks

Overcome these challenges with 6WIND

Boosted GPU Utilization

By moving networking workloads to BlueField-3, up to 20 CPU cores per server are freed up. This translates directly into more capacity for model execution, training, and inference, which improves infrastructure ROI and delivers faster AI outcomes without additional hardware investments.

Faster AI Services

With sub-millisecond latency and dedicated offload paths, AI platforms can deliver real-time, responsive services. Whether it’s a conversational interface, vision AI, or RAG pipeline, users benefit from minimal delay and high throughput, which is critical for interactive AI.

Zero-Trust Multi-Tenancy

Leveraging technologies like VRF segmentation, ACLs, and L4 firewalling, each customer or workload is securely isolated. This ensures compliance and privacy in shared GPU environments and supports multi-department, multi-client use without data leakage or policy conflicts.

Elastic Scaling

The solution natively integrates with Kubernetes, allowing for automated scaling of policies, routing paths, and service overlays as new pods or tenants are added. This minimizes operational burden while maintaining performance consistency during traffic surges.

Lower Infrastructure Costs

Replacing costly and rigid hardware appliances with software-defined, DPU-accelerated networking reduces both capital and operating expenditures. Organizations save not only on equipment but also on energy, rack space, and administrative overhead.

Smarter Cost Control

6WIND’s support for prompt-aware traffic routing enables operators to match inference requests with the most cost-efficient or policy-compliant model. This reduces GPU waste and allows for SLA-based service tiers that align network behavior with business objectives.

6WIND Products

Offload, Accelerate, and Isolate—at the Infrastructure Layer

High-performance routing

6WIND’s solution integrates two key components: the Virtual Service Router (VSR), which serves as the cluster’s secure entry and exit point with IPsec encryption, NAT, firewall, and VPC interconnects; and the Host Networking Accelerator (HNA), a DPDK-powered router that terminates VXLAN or SRv6 overlays and ensures VPC-level traffic isolation in Kubernetes clusters.

6WIND VSR is a product line comprising of various high-performance and scalable virtualized software routers optimized for CSPs, MNOs and Enterprises.

See product details

The 6WIND vHNA solution delivers high performance, scalability and security to Communications Service Providers and is optimized for Telco CNFs in Kubernetes

See product details

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-Optimized Networking

Inference Service Chaining

Route inbound AI requests through a sequence of network services such as firewalls, NAT, token filtering, and logging before reaching the LLM node. This approach supports regulated environments, custom filtering logic, and detailed observability while maintaining low-latency responsiveness.

GPU-aaS Platforms

GPU-as-a-Service providers can onboard tenants with isolated VPCs, configure per-tenant firewall and NAT policies, and guarantee network-level SLAs. BlueField-3 DPU acceleration ensures each tenant receives predictable performance, even in shared environments.

Enterprise AI

Enterprises running AI across multiple teams or departments can enforce segmentation and resource allocation through dynamic network overlays. Sensitive departments (e.g., R&D or finance) benefit from isolated, auditable traffic paths.

Hybrid and Sovereign AI

When running workloads across cloud and on-prem regions or sovereign domains, 6WIND enables secure overlay networking. This allows AI services to comply with localization laws while maintaining seamless performance.

Compliance-Driven Pipelines

Inference services in healthcare, banking, and government must meet strict audit and data protection requirements. 6WIND provides in-flight encryption, inline telemetry, and traffic logging to help meet regulations like GDPR, HIPAA, and ISO 27001 without sacrificing performance.

Contact us

We are the leading networking software solution in the market

We offer the best cost-performance ratio

We offer unparalleled functionality & security

Resources

White Paper

Unlocking Profits Through Next-Gen Connectivity

Podcast

Scaling AI? Start with the Network

Datasheet

Virtual Service Router