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Products
Bare Metal 
Enzu provides a comprehensive AI solution that spans from initial design and procurement to ongoing management and support, helping businesses deploy and scale AI workloads.
Our approach combines powerful bare metal infrastructure, software-defined storage, and flexible networking to deliver a complete, high-performance environment.
The 360'
Approach
Enzu's "360' approach" allows companies to transfer all hardware lifecycle management to our team, ensuring a compliant and highly available infrastructure. We act as a seamless extension of your team, handling everything from procurement to maintenance, so you can focus on your core business.
Design and Procurement
We design a solution tailored to your needs and procure all necessary hardware and data center space.
Implementation
and Monitoring
Our team handles the rack, stack, and implementation of your hardware, followed by 24/7 monitoring, proactive management, and emergency response.
Maintenance and Management
We manage network and hardware maintenance, firmware updates, and hardware upgrades. We also provide a portal to track and manage all hardware, including RMA management for failed hardware replacements.
Key Features for
Enzu AI
Infrastructure and Data Centers
We offer TruMetal bare metal servers, which are ideal for AI/ML workloads and HPC, giving you direct hardware access without virtualization overhead. Our global data center presence, with over 40 locations and access to more than 300 more, ensures your infrastructure is always available and geographically optimized.
Software and Storage
We provide software-defined storage powered by HammerSpace or WEKA, delivering a high-performance platform certified for NVIDIA DGX SuperPODs and built for demanding, data-intensive workloads.
Flexible Deployment
Our solutions support everything from a single GPU on bare metal to a full-scale NVIDIA DGX SuperPOD, ensuring you have the right resources for any workload.
Cost-Effective Scaling
Our Flex-Metal approach and AI-powered autoscaling can reduce cloud costs by building the core infrastructure you need, and providing a scaling infrastructure when you need on-demand workloads.
Use Case: Accelerating
AI Innovation with
Enzu AI
Challenge
A leading AI-driven company required a scalable, high-performance infrastructure to support rapid growth in model training and deployment. Their roadmap included scaling from 256 GPUs in year one to over 1,000 GPUs within three years. To enable this growth, they needed:
- High-performance storage refresh to eliminate bottlenecks.
- Next-generation InfiniBand and Ethernet networking at 100G–200G speeds.
- Reliable colocation with robust power and cooling to handle dense GPU clusters.
- A partner to manage procurement, logistics, monitoring, and lifecycle maintenance.
Solution
A leading AI-driven company required a scalable, high-performance infrastructure to support rapid growth in model training and deployment. Their roadmap included scaling from 256 GPUs in year one to over 1,000 GPUs within three years. To enable this growth, they needed:
- High-performance storage refresh to eliminate bottlenecks.
- Next-generation InfiniBand and Ethernet networking at 100G–200G speeds.
- Reliable colocation with robust power and cooling to handle dense GPU clusters.
- A partner to manage procurement, logistics, monitoring, and lifecycle maintenance.
Technical Highlights
A leading AI-driven company required a scalable, high-performance infrastructure to support rapid growth in model training and deployment. Their roadmap included scaling from 256 GPUs in year one to over 1,000 GPUs within three years. To enable this growth, they needed:
- High-performance storage refresh to eliminate bottlenecks.
- Next-generation InfiniBand and Ethernet networking at 100G–200G speeds.
- Reliable colocation with robust power and cooling to handle dense GPU clusters.
- A partner to manage procurement, logistics, monitoring, and lifecycle maintenance.
Results
A leading AI-driven company required a scalable, high-performance infrastructure to support rapid growth in model training and deployment. Their roadmap included scaling from 256 GPUs in year one to over 1,000 GPUs within three years. To enable this growth, they needed:
- High-performance storage refresh to eliminate bottlenecks.
- Next-generation InfiniBand and Ethernet networking at 100G–200G speeds.
- Reliable colocation with robust power and cooling to handle dense GPU clusters.
- A partner to manage procurement, logistics, monitoring, and lifecycle maintenance.
Why Enzu
Enzu provides AI infrastructure as a service, combining cutting-edge GPU clusters, enterprise-grade storage, high-speed networking, and white-glove management to help organizations accelerate innovation—without the burden of managing hardware.