Want to Know a Secret? Faster AI Isn't More GPUs — It's Smarter Networking

AI is redefining what's possible in science, industry, and enterprise — but it comes with immense infrastructure demands. Across the globe, organizations are investing in GPUs at unprecedented scale to accelerate training and inference. Yet even with cutting-edge accelerators, many CIOs face a frustrating and expensive challenge:
Why Are My GPUs Sitting Idle?
The answer lies in a critical, often-overlooked piece of your AI stack: the network.
At Cornelis, we work with AI leaders across sectors — from enterprise to cloud to research labs — and we've seen it time and time again. Sophisticated, expensive AI clusters stall, not because of insufficient compute, but because the network can't keep up.
Common symptoms include:
Underutilized GPUs and CPUs due to bottlenecked data transfers
Inconsistent inference performance from an inefficient network
Longer training cycles, delaying time-to-market
Escalating power and operational costs
If this sounds familiar, you're not alone — and you're not out of options.
Smarter Networking with CN5000 Omni-Path® Networking
CN5000 Omni-Path® networking delivers lossless, congestion free, scale-out network performance, purpose-built for the unique demands of AI and HPC.
Unlike traditional solutions that rely on deep buffers, loss-based flow control, or closed software stacks, CN5000 uses intelligent hardware and open, standards-based software to ensure lossless, low-latency, high-throughput communication at scale.
Free Your Network
So many enterprises continue to pour money into more and more GPUs, but without the right network enhancements, end up creating more bottlenecks and inefficiencies. Instead, let the network set your infrastructure free. Allow me to explain how we achieve lossless, congestion-free, open networking:
Intelligent Routing & Congestion Avoidance – Reroutes traffic in real time to avoid congestion improving message rates, application performance, latency, and overall efficiency and utilization
Credit-Based Flow Control – Foundational architectural innovation that eliminates packet loss, even under peak load, for consistent performance, eliminating costly packet retries and replays to improve end-user experience in conversational AI
Superior Message Rate Performance – Enhances processing for small, frequent communication patterns typical in inference
Vendor-Agnostic – Works beautifully with all GPUs, CPUs, accelerators and major software frameworks
Open Software Stack – Open-source and upstreamed driver and host software for frictionless deployments
The result? A network that keeps up with your AI ambitions and frees you from infrastructure constraints.
Built to Scale. Open to Innovate.
Whether you're building a next-gen exascale cluster or optimizing a mid-sized AI environment, the CN5000 generation of Omni-Path delivers:
Linear scalability across up to 500k+ endpoints
High radix, modular & resilient switching (up to 576 ports per Director-Class Switch)
Energy-efficient SuperNICs, Switches, and Director-Class Switches, the industry’s most comprehensive portfolio for efficient scaling!
Modular, vendor-neutral integration with CPUs, GPUs, and storage
And with a completely open ecosystem — no vendor lock-in, no proprietary software constraints — you’re in control of your infrastructure roadmap.
Why Smarter Networking Wins
AI at scale isn't just a compute problem — it's a system-level engineering challenge. And networking is at the center of it. By eliminating bottlenecks, boosting utilization, and delivering predictable performance, smarter networking enables:
More productive AI teams
Better ROI on GPU infrastructure
Faster time-to-insight, innovation, and market leadership
Discover What Your Network Could Be
Our CN5000 Omni-Path products are redefining what's possible in AI and HPC networking. It’s time to stop throwing GPUs at the problem — and start building intelligently optimized, fully scalable, congestion-free networks.
Ready to benchmark CN5000 Omni-Path? Now sampling. Contact sales@cornelisnetworks.com today.