Rack Servers
Showing Results for Rack Servers
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Lenovo
SKU: 7D76S37T00
Lenovo Custom SR650 UTS MC98000649 END 9/30/2023 - 7D76S37T00
In stock · Ships same business day$14,918.99 -
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Lenovo
SKU: 7D73S15B00
Lenovo TP SR630 V3 3YR WTY MC00102648 06-30-2023 - 7D73S15B00
In stock · Ships same business day$9,253.99 -
Lenovo
SKU: 7D73S15E00
Lenovo TP SR630 V3 3YR WTY MC00102648 06-30-2023 - 7D73S15E00
In stock · Ships same business day$15,239.99 -
Lenovo
SKU: 7X02V0HS00
Lenovo Thinksystem SR630 3YR WTY MC80211585 31/08/2023 - 7X02V0HS00
In stock · Ships same business day$13,872.99 -
Lenovo
SKU: 7X13S5NB00
Lenovo Custom SR950 NPE MC98262077 END 7/31/2023 - 7X13S5NB00
In stock · Ships same business day$56,137.99 -
Lenovo
SKU: 7Z71SVAJ00
Lenovo 7Z71SVAJ00 Rack Server
In stock · Ships same business day$20,227.02 $8,475.99 Save $11,751.03 -
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Lenovo
SKU: 7X06P5C900
Lenovo 7X06P5C900 Dual-Socket Rack Server
In stock · Ships same business day$11,489.99 -
Lenovo
SKU: 7Z71S86A00
Lenovo Custom SR630 KIO MC98352469 END 7/23/2022 - 7Z71S86A00
In stock · Ships same business day$4,997.99 -
Rack servers are 1U–4U form-factor compute nodes designed to mount in standard 19-inch equipment racks. This category covers single-socket and dual-socket platforms from major OEMs, ranging from entry-level 1U systems built around Intel Xeon E or AMD EPYC Embedded processors to high-density 2U nodes carrying dual Xeon Scalable or EPYC Genoa/Bergamo CPUs with 24–32 DIMM slots, multiple NVMe bays, and PCIe Gen 5 expansion. GPU-ready configurations supporting 2–8 double-wide accelerators are stocked alongside storage-optimized platforms with 24–60 large-form-factor drive bays.
Key buying considerations include processor generation and TDP, memory capacity and speed (DDR5 vs. DDR4), PCIe slot count and bifurcation support, out-of-band management (iDRAC, iLO, XCC, IPMI 2.0), power redundancy (1+1 or 2+1), and rail-kit compatibility with your existing rack infrastructure. Typical deployments include virtualization hosts, HPC cluster nodes, database servers, AI training and inference workloads, and dense web-tier applications where per-rack compute density and cable management are priorities.