Turn GPUs into Revenue

The Network Automation & Multi-Tenancy Platform
for AI Cloud Operators

Trusted by

GPUs ≠ AI Cloud

Network automation and multi-tenancy, purpose-built for AI, is the critical foundation for maximizing the ROI of GPU infrastructure.

It empowers you with cloud-service-provider capabilities, enabling dynamic and secure sharing of hardware resources across multiple tenants and workloads.

Group 11(1)
Building In-House Network Automation Is a Trap

Building in-house automation burns years of time and money, and 9 out of 10 companies regret it.

Frame 6

The result is fragile, expensive to maintain, and pulls focus away from the AI business. Teams get stuck hiring specialists, chasing bugs, and falling behind as new architectures emerge—essentially becoming a network automation company instead of a GPU cloud operator.

Traditional Network Controllers Are Structurally Unfit for AI

Traditional SDN Controllers and Fabric Managers were built for legacy enterprise datacenters, not AI.

Frame 6(1)

They don’t support NVIDIA switches or DPUs, lack integration with InfiniBand and NVLink, and miss cloud-provider essentials like elastic IPs and load balancers. Without these, they simply can’t meet the automation and multi-tenancy demands of AI infrastructure.

Soft Isolation Is Not Enough For True Multi-Tenancy

VMs, containers, and other software-based methods provide soft isolation, but on their own they fall short of cloud-provider-grade security.

Frame 6(2)

Software vulnerabilities or container escapes can breach these barriers, putting tenants and workloads at risk. That’s why GPU cloud providers rely on hard isolation enforced at the networking hardware level—across switches, DPUs, and fabrics—to guarantee secure, reliable multi-tenancy at AI scale.

“All-in-One” Falls Short

“All-in-One” Falls Short
Group 17

“All-in-one” platforms claim to do everything — networking, compute, platforms, NIMs, applications, billing, and more. But when a tool tries to cover everything, it specializes in nothing.

Group 17

AI networking is too complex and too critical to be handled at a surface level. Without a cloud-provider-grade AI networking platform, operators face delays, outages, and compliance risks that lead to churn and reputational damage. Your networking foundation should not come bundled with your compute or AIOps stack. To stay competitive, you need the freedom to mix and match vendors — and continuously choose the most optimal combination of infrastructure and revenue channels.

Netris Your AI Network

The purpose-built platform for network automation and multi-tenancy. Trusted by AI cloud operators worldwide.
  • Group 258

    AI Networking Foundation

Netris is the foundational platform for AI infrastructure operators that delivers the cloud-provider-grade network automation, abstraction, and multi-tenancy across the entire AI networking stack: Ethernet, InfiniBand, NVLink, DPUs, Virtual, and Edge Networking. Netris absorbs the complexity and networking nuances of various reference architectures, accelerating the launch and operation of your AI cloud.

  • Group 279

    Essential platform for GPU revenue generation

  • Group 259

    Automation

Netris delivers the missing automation layer for Ethernet and DPU fabrics, with best practices built into its auto-configuration algorithms. Engineers define the end state, and Netris configures VRFs, VXLANs, BGP, and everything else, all in under two minutes with closed-loop assurance. This speeds day-0/1 deployment and gives operators confidence and agility for day-2 maintenance

  • Group 21

    Accelerate AI cloud launch and eliminate human errors

  • Group 261(1)

    Abstraction

Netris provides a cloud-grade network abstraction layer via web console and REST API, which is essential for AI cloud services. It enables AWS-style constructs like VPCs, peering, elastic IPs, load Balancers, and more, while Netris algorithms translate them into precise configurations across Ethernet, InfiniBand, NVLink, DPUs, Virtual and Edge Networking delivering simplicity over complex, multi-fabric infrastructure.

  • Group 22

    Deliver cloud-provider–grade networking services

  • Group 262

    Multi-Tenancy

Netris enables true multi-tenancy by providing hardware-level isolation across bare metal, VM, and container workloads. This hard isolation—now the industry standard for data sovereignty and compliance—is fully enforced on switches, DPUs, and fabrics. Operators simply define the endpoints, and Netris algorithms automatically generate and apply the correct configurations across all network elements.

  • Group 23

    Deliver dynamic and secure multi-tenancy

The Core Networking Layer for AI Clouds

Group 272(3)

Equalize AI Networking

Netris acts as an equalizer of networking: beneath the surface, it absorbs the complexity of each reference architecture, while on top it delivers a consistent, standardized experience. This enables cloud providers to adopt new RAs with confidence, without burning engineering cycles on constant adaptation.

Integrate Ecosystem Platforms

Netris serves as the baseboard for AI networking, enabling operators to maximize GPU utilization by mixing and matching IaaS, PaaS, solutions and GPU aggregator marketplace service platforms without re-engineering the network. This opens new revenue channels and positions operators to maximize returns in the AI economy.

Future-Proof Without Lock-In

Netris frees operators from being tied to a single hardware, architecture, compute orchestration software, or aggregator channel. With Netris, operators can continuously leverage best-of-breed components and establish predictable costs to achieve long-term profitability.

Turn Infrastructure
into Revenue

REVENUE
Go Live Sooner.

Grow Faster.

Start generating revenue sooner to avoid the delay associated with in-house automation development.

Win more business with cloud provider–grade services that competitors can’t match.

Expand revenue streams through ecosystem of GPU aggregators, marketplaces, and platforms.

MARGINS
Maximize Your
GPU Utilization

Generate more revenue per node and per GPU with granular, dynamic, and hard isolation.

Minimize customer waiting time and GPU waste with immediate and error-less network reconfigurations.

COSTS
Reduce CapEx
and OpEx

Reduce CapEx by reusing hardware resources across multiple tenants and workloads.

Lower CapEx by mixing and matching best-of-breed hardware and software at the right price point — without being locked in.

Decrease OpEx by eliminating unnecessary costs associated with development and maintenance of in-house network automation.

Production-Proven