Operationalizing AI Fabrics with Aviz ONES, NVIDIA Spectrum-X, and Rafay
Discover the new AI operations model available to enterprises that enables self-service consumption and cloud-native orchestration for developers.
Rafay-powered Bare Metal GPUs as a Service (BMaaS) gives customers direct access to the host operating system on dedicated GPU servers, for teams running large distributed training jobs or highly opinionated software stacks that need control a virtualized environment cannot offer.
The platform delivers each server with secure access, networked with the customer's other rented servers and the right storage mounted, running with zero virtualization overhead for maximum performance on AI training, inference, and HPC.
.webp)
Check out the end-user experience in this quick click-through demonstration.
Rafay automates how GPU servers are deployed, managed, and scaled across multiple tenants and environments.
Match servers from inventory, reserve IPs, boot and discover, install the OS, and configure drivers and services in one workflow
Per-tenant VRFs, north-south tenant access, and optional firewall rules, programmed automatically as tenants onboard
InfiniBand and Ethernet with RDMA for low-latency distributed training and HPC
NVIDIA H100, A100, L40S and more, up to 8 GPUs per server with NVLink and NVSwitch
Learn how to Streamline Kubernetes Ops in Hybrid Clouds with AWS & Rafay

Talk with Rafay experts to assess your infrastructure, explore your use cases, and see how teams like yours operationalize AI/ML and cloud-native initiatives with self-service and governance built in.