Enterprise AI Infrastructure, Built on NVIDIA

NVIDIA AI Enterprise is an end-to-end, cloud-native software suite for building and running AI workloads. It bundles frameworks, pretrained models, and NIM inference microservices with enterprise support, and it is licensed per GPU. Layots deploys and manages it on-premises, in the cloud, and in hybrid environments.

A DGX system is a factory-integrated AI appliance: NVIDIA specifies the GPUs, NVLink and NVSwitch interconnect, networking, and software stack as one validated unit. A standard GPU server is assembled from third-party components and tuned by the integrator. DGX reduces deployment risk and time to first training run; a custom HGX build usually costs less per GPU and offers more configuration freedom.

For a rack-scale deployment where power and cooling already exist, Layots typically delivers in 6 to 10 weeks from purchase order to first production workload. Projects that need electrical upgrades, liquid cooling, or new data centre space usually run 12 to 20 weeks. Hardware lead times are the most common cause of delay.

Buy on-premises when GPU utilisation is sustained above roughly 60 to 70 percent, when data residency rules restrict where data can be processed, or when you run continuous training. Use GPU cloud for bursty, experimental, or short-lived workloads and for proof of concept work. Most enterprises land on a hybrid split, and Layots models the breakeven point before you commit capital.

Modern GPU nodes draw far more power than traditional servers: an air-cooled 8-GPU node typically needs 10 to 14 kW per rack unit group, and dense HGX or GB-class racks can exceed 40 kW and require direct liquid cooling. Layots runs a power, cooling, and floor-loading assessment before any hardware is ordered.

NVIDIA NIM is a set of containerised inference microservices that package optimised models behind standard APIs. NIM shortens the path from a trained model to a production endpoint, and is included with NVIDIA AI Enterprise. Layots uses NIM to stand up private, in-house model endpoints that keep inference data inside the customer environment.

Yes. NVIDIA RTX Virtual Workstation (RTX vWS) delivers certified GPU acceleration to virtual desktops, so CAD, CAE, BIM, and design teams can work on remote workstations without local hardware. Layots sizes the profiles, deploys the hosts, and manages licensing.

Layots Technologies operates as a solution provider that specifies, supplies, deploys, and manages NVIDIA-based infrastructure for enterprise customers. We work alongside NVIDIA OEM and distribution channels to source hardware and licensing, and we provide the design, integration, and ongoing managed services around it.