Designed for GPU-Based AI Environments, Delivered End-to-End by nLogic
AI infrastructure expansion in Norway is accelerating, and new data centers built around GPU-based platforms and high-performance AI workloads place fundamentally different demands on the network compared to traditional IT environments. In these environments, the network becomes an active part of overall performance, not just a transport layer for traffic.
nLogic delivers AI-optimized data center networking together with Arista Networks, a global leader in high-performance networking and AI data center infrastructure. As the only Arista Elite Partner in the Nordics, we support customers from initial design through to fully implemented solutions.
Built for AI Traffic from Day One
AI workloads, often built around NVIDIA-based GPU platforms such as H100, H200, B200, GB200 NVL72, and upcoming generations including B300 and GB300 NVL72, generate massive east-west traffic between nodes. This applies to both front-end and back-end networks in modern AI architectures.
This requires:
- Predictable low latency
- High bandwidth, typically 400G, 800G, and moving toward 1.6T
- Efficient load balancing and traffic distribution
- Stability under continuous high utilization
Arista-based networks are engineered specifically to handle this type of traffic.
The result is higher GPU resource utilization, fewer bottlenecks, and improved overall performance across the AI environment.
Lower Power Consumption, Higher Efficiency
Power and cooling are among the largest cost drivers in modern data centers. Arista stands out with an architecture that delivers significantly lower power consumption per unit of capacity compared to many alternative solutions. This reduces operational costs while creating a stronger foundation for future scaling.
Full Visibility and Control with CloudVision
AI environments require control, not just capacity.
With Arista CloudVision, you gain:
- End-to-end visibility across the entire data center network, including both front-end and back-end infrastructure
- Real-time telemetry and historical analytics
- Automation and consistent configuration management
- Faster troubleshooting and reduced downtime
This is particularly important in distributed AI environments, where even minor deviations can have major operational impact.
From Design to Fully Operational Solution
nLogic has a dedicated team focused on AI and data center integration.
We deliver:
- Requirements analysis and capacity planning
- Architecture design for AI workloads
- Integration with GPU platforms and existing infrastructure
- Implementation and commissioning
We ensure the solution is correctly sized for both current and future requirements, delivering a fully validated, end-to-end solution that works from day one.
Ready to discuss AI-ready data center networks?
If you work with AI infrastructure, data center deployment, or GPU-based services, we’re happy to walk you through the specifics.
Get in touch for a no-obligation one-on-one conversation.
