Other Versions
(Click to View)
The PowerEdge R6715 server is a single-socket optimized solution designed to deliver high performance, flexibility, and efficiency for a variety of applications. It is powered by 5th generation AMD EPYC™ processors and offers cutting-edge features that dynamically scale to push the upper limits of application performance.
Next level compute in your data center:
Our partnership with AMD allows us to provide customer with a powerful 1U server that can handle a variety of multi-core workloads.
- The 5th generation AMD EPYC™ processor in the PowerEdge R6715 can deliver up to two-times better performance compared to previous generations.
- With dual OCP and DDR5 memory support, effciently address I/O and richer storage needs in a single-socket design.
New configuration options for targeted workloads
The PowerEdge R6715 offers great flexibility with multiple configuration options to suit diverse customer needs.
- With support for up to 3 PCIe slots in a compact 1U form factor, it can easily adapt to different workload requirements.
- An ideal choice for businesses looking for a versatile server that can grow with their evolving needs.
Cyber Resilient Architecture for Zero Trust IT environment & operations
The Silicon-based root of trust anchors end-to-end boot resilience while Multi-Factor
Authentication (MFA) and role-based access controls safeguard trusted operations.
Cooling Options
Memory Options
The Dell PowerEdge R6715 holds up to 24x DDR5 DIMMs
| DIMM type |
Rank |
Capacity |
DIMM voltage and speed |
Operating Speed |
|
|
|
|
1 DIMM per channel (DPC) |
2 DIMM per channel (DPC) |
| RDIMM |
1R |
16 GB |
DDR5 (1.1 V), 6400 MT/s |
5200 MT/s |
4400 MT/s |
| 2R |
32 GB |
DDR5 (1.1 V), 6400 MT/s |
5200 MT/s |
4400 MT/s |
| 64 GB |
DDR5 (1.1 V), 6400 MT/s |
5200 MT/s |
4400 MT/s |
| 96 GB |
DDR5 (1.1 V), 6400 MT/s |
5200 MT/s |
4400 MT/s |
| 128 GB |
DDR5 (1.1 V), 6400 MT/s |
5200 MT/s |
4400 MT/s |
| 8R |
256 GB |
DDR5 (1.1 V), 6400 MT/s |
5200 MT/s |
4400 MT/s |
Storage Controllers (Internal)
Riser Configurations
Riser 2q and Riser 4b supports DPU cards
| Config No. |
Riser configuration |
No. of Processors |
PERC type supported |
Rear storage possible |
| RC 2 |
R2r |
1 |
Front PERC |
No |
| RC 3 |
R2q+R4b |
1 |
Front PERC |
No |
| RC 4 |
R2r+R4a |
1 |
Front PERC |
No |
| RC 5 |
R2k+R4a |
1 |
Front PERC |
No |
| RC 6 |
R2s+R4a |
1 |
Front PERC |
Yes |
Riser 2q and Riser 4b supports DPU cards
Open Compute Project (OCP 3.0) PCIe 5.0 x8/x16
Front I/O
- 1 x USB 2.0 Type-C port (HOST/BMC Direct)
- 1 x USB 2.0 Type-A port (optional LCP KVM)
- 1 x Mini-DisplayPort (optional LCP KVM)
Internal I/O
Rear I/O
- 1 x Dedicated BMC 1Gb Ethernet port
- 2 x USB 3.1 Type A port
- 1 x VGA
Network options
- 2 x OCP card 3.0 (optional)
- OCP Speeds: 1GbE, 10GbE, 25GbE,100GbE and 400GbE
- Slot 2: 1 x16 Gen5 OCP 3.0
- Slot 5: 1 x16 Gen5 OCP 3.0
Boot Options
Supported GPU / DPU
What is a DPU?
A Data Processing Unit (DPU) is a specialized processor designed to handle data movement, networking, storage, and security tasks in servers and data centers. It functions as a programmable SmartNIC with its own Arm CPU cores, hardware accelerators, and high-speed networking capabilities. DPUs offload heavy infrastructure workloads from the main CPU, freeing it up for application-level work. They are commonly used in modern cloud and AI environments to improve efficiency and performance at scale. Popular examples include NVIDIA’s BlueField series of DPUs.
Why is a DPU different from a GPU?
A DPU is different from a GPU because it is optimized for moving, securing, and processing data in transit (networking & storage), whereas a GPU is built for performing massive parallel mathematical computations such as AI training and graphics rendering.
Key Differences Between DPU and GPU
-
Purpose: DPU handles data movement, networking, encryption, and storage offloading;
-
Workload: DPU excels at infrastructure tasks (packets, security, telemetry);
-
Location & Role: DPU sits on the data path as a SmartNIC;
-
Efficiency Goal: DPU improves overall server efficiency by freeing CPU cycles;
-
Purpose: GPU focuses on heavy parallel math and compute workloads.
-
Workload: GPU excels at AI/ML training, simulations, and rendering.
-
Location & Role: GPU acts as a compute accelerator.
-
Efficiency Goal: GPU increases raw computational power.
Power Supply Units (PSU)
| Form factor |
Output |
Power cord |
| 60 mm |
800 W mixed mode |
C13 |
| 1100 W mixed mode |
C13 |
| 1400 W -48 VDC |
LOTES APOWA048 |
| 1500 W mixed mode |
C13 |
| 1500 W mixed mode 277V |
APP2006G1/2006G3 |
| 1800 W mixed mode |
C13 |
Dimensions & Weight
Dimensions
- Width: 482.0 mm (18.97")
- Length: 786.14 mm (30.95") with bezel
- Height: 42.8 mm (1.68")
Weight
- 4 x 3.5-inch SAS/SATA drives 19.41 kg (42.79 pounds)
- 8 x 2.5-inch Universal SSDs 19.96 kg (44.00 pounds)
- 8 x U.2 SSDs 20.78 kg ( 45.81 pounds)
- 10 x 2.5-inch SAS/SATA drives 21.19 kg ( 46.71 pounds)
- 10 x 2.5-inch with 4 x Universal drives 21.09 kg ( 46.49 pounds)
- 16 x EDSFF E3.S Gen5 NVMe drives 21.09 kg (46.49 pounds)
- 20 x EDSFF E3.S Gen5 NVMe + rear 2 x EDSFF E3.S Gen5 NVMe drives 20.25 kg ( 46.64 pounds)