{"title":"CPU Servers","description":"\u003ch2\u003eThe Orchestration Layer Your AI Stack Depends On\u003c\/h2\u003e\u003cp\u003eIn 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.\u003c\/p\u003e\u003cp\u003eDVUN'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.\u003c\/p\u003e\n\n\u003ch3\u003eWhy Engineers Choose DVUN CPU Servers\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh Core Count Configurations:\u003c\/strong\u003e From 32-core to 256-core dual-socket platforms, matched to parallel data processing and multi-tenant serving workloads.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLarge Memory Capacity:\u003c\/strong\u003e DDR5 configurations up to 6TB per node for in-memory dataset caching, feature stores, and large-context inference serving.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePCIe Expansion for GPU Offload:\u003c\/strong\u003e High lane-count platforms that support GPU accelerator add-in cards for hybrid CPU\/GPU inference architectures.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVMe-Optimized Storage Bays:\u003c\/strong\u003e Fast local storage for dataset staging, checkpoint caching, and model weight serving.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRedundant Power \u0026amp; ECC Memory:\u003c\/strong\u003e Enterprise-grade reliability for systems that run 24\/7 in production AI environments.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRack-Ready Form Factors:\u003c\/strong\u003e 1U, 2U, and 4U configurations to fit your existing rack density and power budget.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eImagine It In Your Environment\u003c\/h3\u003e\u003cp\u003e\u003cstrong\u003eScenario 1 — The Data Pipeline Bottleneck:\u003c\/strong\u003e 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 \u003ca href=\"\/collections\/nvme-storage\"\u003eNVMe Storage\u003c\/a\u003e for maximum pipeline throughput.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eScenario 2 — Multi-Model Inference Serving:\u003c\/strong\u003e 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 \u003ca href=\"\/collections\/ready-systems\"\u003eReady Systems\u003c\/a\u003e for pre-configured inference infrastructure bundles.\u003c\/p\u003e\n\n\u003ch3\u003eWhat to Expect from This Collection\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eSingle and dual-socket CPU server platforms\u003c\/li\u003e\n\u003cli\u003eCore counts from 32 to 256 cores per system\u003c\/li\u003e\n\u003cli\u003eDDR5 memory support, up to 6TB per node on select platforms\u003c\/li\u003e\n\u003cli\u003ePCIe Gen4 and Gen5 expansion slots for GPU and NVMe add-in cards\u003c\/li\u003e\n\u003cli\u003eUp to 24x NVMe drive bays on storage-optimized configurations\u003c\/li\u003e\n\u003cli\u003e10GbE, 25GbE, and 100GbE onboard networking options\u003c\/li\u003e\n\u003cli\u003eIPMI\/BMC remote management on all platforms\u003c\/li\u003e\n\u003cli\u003eRedundant hot-swap PSU configurations for production deployments\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eDon't Let Your CPU Infrastructure Become the Bottleneck\u003c\/h3\u003e\u003cp\u003eThe 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. \u003ca href=\"\/pages\/request-a-quote\"\u003eRequest a quote\u003c\/a\u003e for project-scale deployments or talk to our hardware team about the right CPU-to-GPU ratio for your specific workload.\u003c\/p\u003e","products":[],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0671\/0525\/9582\/collections\/cpu-servers.png?v=1782103879","url":"https:\/\/dvun.com\/collections\/cpu-servers.oembed","provider":"DVUN","version":"1.0","type":"link"}