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Automate and secure multi-tenant AI GPU infrastructure

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Reviews onG2
4 reviews tracked

The Bottom Line

Entry price

Paid plans only

Biggest pro

Purpose-built for AI infrastructure, addressing unique networking demands.

Biggest con

Specific pricing details are not publicly available.

TL;DR - Netris

  • Automates and abstracts AI networking for GPU cloud operators.
  • Enables secure, hardware-level multi-tenancy for AI workloads.
  • Accelerates AI cloud deployment and maximizes GPU utilization.
Pricing: Paid only
Best for: Enterprises & pros

What is Netris?

Editorial review
Netris provides a purpose-built platform for network automation and multi-tenancy, designed for AI cloud operators. It transforms GPU infrastructure into revenue-generating assets by enabling dynamic and secure sharing of hardware resources across multiple tenants and workloads. The platform addresses the unique networking challenges of AI, such as the need for hard isolation, support for specialized hardware like NVIDIA switches and DPUs, and integration with high-speed fabrics like InfiniBand and NVLink. Netris delivers cloud-provider-grade network automation, abstraction, and multi-tenancy across the entire AI networking stack, including Ethernet, InfiniBand, NVLink, DPUs, Virtual, and Edge Networking. It simplifies complex multi-fabric infrastructures, accelerates AI cloud launches, and ensures secure, reliable multi-tenancy at AI scale, making hyper-scaler-level functionality accessible to a broader range of AI infrastructure teams.

Pros & Cons

Pros

  • Purpose-built for AI infrastructure, addressing unique networking demands.
  • Provides hard isolation for enhanced security and compliance in multi-tenant environments.
  • Significantly accelerates AI cloud launch and tenant provisioning times.
  • Reduces operational complexity and human errors through automation.
  • Maximizes GPU utilization and ROI by enabling dynamic resource allocation.

Cons

  • Specific pricing details are not publicly available.
  • Requires integration with existing AI infrastructure, which may involve a learning curve.

Ratings Across the Web

4.5(4 reviews)

Ratings aggregated from independent review platforms. Learn more

Preview

Key Features

AI Network AutomationCloud-Grade Network Abstraction (VPCs, Elastic IPs, Load Balancers)Hardware-Level Multi-Tenancy (Hard Isolation)Support for Ethernet, InfiniBand, NVLink, DPUsAutomated Configuration (VRFs, VXLANs, BGP)Closed-Loop AssuranceWeb Console and REST APIIntegration with NVIDIA DSX Air

Pricing

Paid

Netris offers paid plans. Visit their website for current pricing details.

View pricing

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Netris FAQ

How does Netris achieve hard isolation for multi-tenancy?

Netris enforces hard isolation at the networking hardware level, across switches, DPUs, and fabrics. This ensures secure and reliable multi-tenancy for bare metal, VM, and container workloads, meeting industry standards for data sovereignty and compliance.

What types of networking technologies does Netris support for AI infrastructure?

Netris supports a comprehensive range of networking technologies essential for AI, including Ethernet, InfiniBand, NVLink, DPUs, Virtual, and Edge Networking, providing a unified platform across these diverse fabrics.

Can Netris integrate with NVIDIA's AI ecosystem?

Yes, Netris integrates with NVIDIA DSX Air, providing a powerful environment to architect and validate the entire networking stack in parallel with hardware delivery, which drastically accelerates time to value for NVIDIA-based AI deployments.

What kind of automation capabilities does Netris offer for network configuration?

Netris provides an automation layer for Ethernet and DPU fabrics, using best practices built into its auto-configuration algorithms. Operators define the desired end state, and Netris automatically configures elements like VRFs, VXLANs, and BGP, typically in under two minutes, with closed-loop assurance.

How does Netris simplify complex multi-fabric AI infrastructure?

Netris provides a cloud-grade network abstraction layer via its web console and REST API. This allows operators to use AWS-style constructs such as VPCs, peering, elastic IPs, and load balancers, while Netris algorithms translate these into precise configurations across the underlying complex, multi-fabric infrastructure.

What is the primary benefit of using Netris over building in-house network automation for AI?

Using Netris avoids the significant time, cost, and resource drain associated with building and maintaining in-house network automation. It provides a specialized, proven solution that allows AI cloud operators to focus on their core AI business rather than becoming network automation experts.

Is Netris suitable for both large neoclouds and sovereign cloud operators?

Yes, Netris is trusted by a wide range of AI infrastructure leaders, from large neoclouds to global telcos and sovereign cloud operators, indicating its scalability and adaptability to various demanding multi-tenant GPU cloud environments.

Does Netris support dynamic allocation of GPUs across tenants?

Yes, Netris helps maximize GPU utilization by enabling the dynamic re-allocation of GPUs across different tenants and workloads, which is crucial for optimizing resource usage in AI cloud environments.

Source: netris.io