Welcome to our new blog series, where we’ll explore how Zadara is uniquely positioned to implement NVIDIA’s software reference architecture for multi-tenant inference clouds. With NVIDIA’s blueprint now public, it’s time to examine how cloud providers can bring this vision to life in the real world.

Understanding the Requirements of NVIDIA’s Reference Architecture

NVIDIA’s software reference architecture is a comprehensive framework designed to help cloud service providers deliver scalable, secure, and high-performance AI infrastructure. The architecture supports:

1. True Multi-Tenancy: Complete isolation between customers across the full stack.

2. AI-Centric Infrastructure: Optimization for AI workloads, including inference, data processing, and orchestration layers.

3. Dynamic Resource Allocation: Ability to provision and scale resources per tenant and per workload.

4. Tenant-Controlled Kubernetes Environments: Each customer operates within their own Kubernetes control plane.

5. Support for Edge and Core Deployments: Architecture supports low-latency deployments near the user and centralized cloud operations.

Why Zadara is the Right Fit

Zadara was built from the ground up as a multi-tenant cloud, aligning natively with NVIDIA’s recommendations. Here’s how Zadara meets and exceeds the reference design expectations:

1. Native Multi-Tenancy: Zadara offers built-in tenant isolation for compute, storage, and networking.

2. Full-Stack Workload Support: Zadara supports all the workloads that are the building blocks of AI/ML environments.

3. Per-Tenant Kubernetes Environments: Zadara enables the deployment of dedicated Kubernetes control planes per tenant.

4. Elastic Resource Allocation: Zadara allows for dynamic allocation of compute, storage, and GPU resources.

5. Global Edge Presence: Zadara has 500+ edge locations operating in more than 25 countries worldwide.

Conclusion

Zadara is uniquely positioned to bring NVIDIA’s multi-tenant inference clouds to life. With its native multi-tenancy, full-stack workload support, and elastic resource allocation, Zadara meets and exceeds the reference design expectations. Stay tuned for more insights into how Zadara can help you implement NVIDIA’s software reference architecture.