Collection: CPU Servers

The Orchestration Layer Your AI Stack Depends On

In the conversation about AI infrastructure, GPU servers get all the attention. But anyone who has actually deployed a production AI system knows the truth: your CPU servers are doing more work than you think. Data ingestion, preprocessing, tokenization, model serving orchestration, API gateway management, logging, monitoring — all of it runs on CPU. And when your CPU infrastructure is undersized or mismatched to your workload, your expensive GPU cluster sits idle waiting for data that isn't arriving fast enough.

DVUN's CPU server collection is built for AI teams who understand this reality. We stock high-core-count rack servers optimized for the specific demands of AI data pipelines, distributed training coordination, and inference serving infrastructure — not just generic enterprise workloads. The right CPU server doesn't just support your AI stack; it unlocks the full potential of the GPU hardware you've already invested in.

Why Engineers Choose DVUN CPU Servers

• High Core Count Configurations: From 32-core to 256-core dual-socket platforms, matched to parallel data processing and multi-tenant serving workloads.
• Large Memory Capacity: DDR5 configurations up to 6TB per node for in-memory dataset caching, feature stores, and large-context inference serving.
• PCIe Expansion for GPU Offload: High lane-count platforms that support GPU accelerator add-in cards for hybrid CPU/GPU inference architectures.
• NVMe-Optimized Storage Bays: Fast local storage for dataset staging, checkpoint caching, and model weight serving.
• Redundant Power & ECC Memory: Enterprise-grade reliability for systems that run 24/7 in production AI environments.
• Rack-Ready Form Factors: 1U, 2U, and 4U configurations to fit your existing rack density and power budget.

Imagine It In Your Environment

Scenario 1 — The Data Pipeline Bottleneck: Your GPU training cluster is running at 60% utilization because your data preprocessing pipeline can't keep up. You need a high-core-count CPU server dedicated to data loading, augmentation, and tokenization — one that can feed your GPUs fast enough to keep them busy. DVUN's CPU server lineup includes platforms specifically validated for this role, with the memory bandwidth and PCIe connectivity to serve as a true data engine. Pair with our NVMe Storage for maximum pipeline throughput.

Scenario 2 — Multi-Model Inference Serving: You're running multiple AI models in production simultaneously — different models for different API endpoints, with varying latency requirements. You need a CPU server that can handle request routing, model loading, and lightweight inference for smaller models, while offloading heavy inference to dedicated GPU nodes. Our high-memory CPU platforms are built for exactly this hybrid serving architecture. See our Ready Systems for pre-configured inference infrastructure bundles.

What to Expect from This Collection

• Single and dual-socket CPU server platforms
• Core counts from 32 to 256 cores per system
• DDR5 memory support, up to 6TB per node on select platforms
• PCIe Gen4 and Gen5 expansion slots for GPU and NVMe add-in cards
• Up to 24x NVMe drive bays on storage-optimized configurations
• 10GbE, 25GbE, and 100GbE onboard networking options
• IPMI/BMC remote management on all platforms
• Redundant hot-swap PSU configurations for production deployments

Don't Let Your CPU Infrastructure Become the Bottleneck

The fastest GPU cluster in the world is only as fast as the data pipeline feeding it. DVUN's CPU server collection ensures your orchestration and data infrastructure keeps pace with your compute ambitions. Request a quote for project-scale deployments or talk to our hardware team about the right CPU-to-GPU ratio for your specific workload.