Hybrid AIDC

We design next-generation AI data centers that support both traditional CPU-based enterprise workloads and high-performance GPU-driven AI workloads within one unified environment.

One Environment for CPU and GPU Workloads

Most data centers were not designed to support both conventional enterprise applications and modern AI infrastructure in a coordinated way. CPU-based workloads and GPU-driven AI workloads often end up managed as separate environments, creating operational friction, duplicated tooling, and fragmented visibility.

Hybrid AIDC solves this by creating a single data center environment that can support both classes of workload. Traditional enterprise applications continue to run on CPU infrastructure, while AI training, inference, and accelerated compute workloads run on GPU infrastructure inside the same overall architecture.

zWARE is the platform that makes this possible. It powers and manages both CPU and GPU infrastructure through one control layer, delivering workload orchestration, resource optimization, automation, monitoring, and lifecycle management across the entire data center.

Flexible Capital for AI Growth

1
Unified Infrastructure Control

Operate CPU and GPU environments through one management layer instead of splitting enterprise and AI workloads across disconnected systems.

2
Operational Efficiency Across Mixed Workloads

Coordinate workload orchestration, automation, monitoring, and lifecycle management across the full data center, reducing friction between traditional infrastructure and AI systems.

3
Future-Ready Data Center Design

Support today’s enterprise computing requirements while building the operational foundation needed for high-performance AI workloads as demand grows.

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