Skip to main content
Same Day Delivery We Also Offer Installation Services Credit Card Upon Delivery Accepted Original Equipment Warranty GCCs Largest Office Equipment Store Search Through More Than 50000+ Products Same Day Delivery We Also Offer Installation Services Credit Card Upon Delivery Accepted Original Equipment Warranty GCCs Largest Office Equipment Store Search Through More Than 50000+ Products

HPE ProLiant DL385 Gen10+ v2 7313 32GB Server

The HPE ProLiant DL385 Gen10+ v2 is a compact single-socket server powered by AMD EPYC 7313 processor with 16 cores. Equipped with 32 GB of DDR4-3200 memory and HPE Smart Array P408i-a controller, it delivers powerful compute and storage flexibility in a 1U form factor.

Overview

The HPE ProLiant DL385 Gen10+ v2 leverages 3rd generation AMD EPYC technology to deliver exceptional single-socket performance. With support for multiple GPUs and advanced storage options, it is engineered for GPU-accelerated workloads and compute-intensive applications.

Key Features

  • AMD EPYC 7313 processor with 16 cores at 3.0 GHz
  • 32 GB DDR4-3200 memory, expandable to 12 DIMMs
  • HPE Smart Array P408i-a SR controller with battery backup
  • Eight SFF hot-plug drive bays with tri-protocol support
  • Support for up to 8 single-width or 3 double-width GPUs
  • 800 W power supply for sustained performance
  • AMD Secure Processor with silicon-level security

Specifications

  • Processor: AMD EPYC 7313 (16 cores at 3.0 GHz)
  • Memory: 32 GB DDR4 RDIMM 3200 MT/s
  • Storage Controller: HPE Smart Array P408i-a SR
  • Storage Bays: 8 SFF
  • Form Factor: 1U Rack
  • Power Supply: 800 W
  • Weight: 15.1 kg

Why buy from Procure.ae

Procure.ae supplies GPU-ready and accelerated computing platforms to research institutions, universities, and AI/ML teams across the UAE and GCC. Request a quote for GPU bundling and performance tuning services.

FAQ

Can I add NVMe drives to the DL385?
Yes, the eight SFF drive bays support NVMe drives with appropriate adapters or native NVMe backplanes.

Is this suitable for machine learning workloads?
Yes, with GPU support and high memory bandwidth, it is well-suited for training and inference on deep learning models.

What is the typical power draw with GPUs installed?
Power consumption scales with GPU workload; plan for 800+ W when running graphics-intensive workloads.

Shipping all over GCC and Africa

Enjoy the most lucrative and fast shipping charges across GCC and African Countries

Hassle Free Support

Get in touch with direct decision makers in case of support issues.

Emi Available

No cost EMI available on all major credit cards

24/7 Support

Dedicated 24/7 support via chat and email - *operating hours may differ