Get Started With Your PowerEdge R6515 Chassis

3 Options Available

Our Recommendation
4-Bay 3.5"
Starting From $2,304.23
The Dell PowerEdge R6515 4-Bay 3.5" packs serious power in a compact 1U frame—because big performance doesn’t always need a big footprint!
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Balanced Option
8-Bay 2.5"
Starting From $2,619.26
The Dell PowerEdge R6515 8-Bay 2.5" packs serious power in a sleek 1U chassis—small but mighty, ready to tackle your toughest workloads with ease!
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Most Versatile
10-Bay 2.5"
Starting From $7,344.73
The Dell PowerEdge R6515 10-Bay 2.5" blends AMD EPYC processing, PCIe Gen4 expandability, and NVMe support in a sleek 1U design, delivering exceptional efficiency for modern workloads.
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Learn More About The Dell PowerEdge R6515

The Dell PowerEdge R6515 is a high-performance 1U rack server designed for efficiency, scalability, and optimized compute power. Powered by a single AMD EPYC processor, it delivers exceptional core density, making it ideal for virtualization, cloud computing, and data analytics. The R6515 supports up to 64 cores with AMD's advanced Zen architecture, providing outstanding processing power while maintaining power efficiency.

With support for up to 16 DIMM slots and 2TB of DDR4 or DDR5 memory, it ensures high-speed data access and multitasking capabilities for demanding applications. Storage flexibility is a key advantage, offering configurations for NVMe, SAS, and SATA drives, with options for up to 10 NVMe SSDs to maximize storage performance.

Networking and expandability are enhanced with PCIe Gen4 slots, allowing for high-speed I/O throughput and advanced connectivity options. The PERC RAID controllers and iDRAC9 Enterprise remote management solution enable robust data protection and seamless system administration.

Designed for modern data centers, the PowerEdge R6515 provides enhanced security features, including Silicon Root of Trust, Secure Boot, and system lockdown, ensuring end-to-end protection. Its compact 1U form factor makes it perfect for organizations looking to maximize rack space while maintaining top-tier compute efficiency.