HPE ProLiant DL385
Enterprise-grade platform, assembled and tested in the EU.
HPE ProLiant DL385 Generation 10 CTO Server with NVIDIA A100 GPUs
This server is equipped with two 32-core AMD EPYC 7502 processors (64 cores, 128 threads) and 512 GB of HPE DDR4 memory. For storage, it features 2x 480GB M.2 NVMe drives and 2x 1.6TB Enterprise SAS SSDs. The server supports an 8-position 2.5" SFF backplane and is equipped with an HPE Smart Array S100i RAID controller.
It includes 2x NVIDIA A100 80GB GPU accelerators, making it ideal for AI and machine learning. The server features four integrated GB NICs and two 10GB SFP+ ports. Redundancy is ensured through 2x 800W power supplies, and management is simplified with iLO5.
Technical Specifications
| Processors | Two 32-core AMD EPYC 7502 (2.5 GHz, Max Turbo 3.4 GHz) |
|---|---|
| Cores / Threads | 64 cores / 128 logical processors |
| Memory | 512 GB (8x 64GB) HPE DDR4 |
| Primary Storage | 2x 480GB M.2 NVMe |
| Secondary Storage | 2x 1.6 TB Enterprise 2.5" SAS SSD |
| Backplane | 1x 8Bay 2.5" SFF (8SFF) |
| RAID | HPE Smart Array S100i SR Gen10 SW RAID + P208i RAID Controller |
| Graphics Units (GPU) | 2x NVIDIA A100 80 GB SXM4 PCIe GPU Accelerator |
| Power Supply | 2x redundant 800W power supply |
| Network Connectivity | Quad Integrated GB NICs + Dual port 10GB SFP+ |
| Rack Rails | Included |
| Management | iLO5 Standard |
| Device Status | Refurbished |
| Warranty | 24 months RTB (Return To Base) |
| Tested with | Windows Server 2022/2019, VMware ESXi 7.0, Windows Server 2016/2019 HPC, Ubuntu, CentOS 7 64-bit, Proxmox VE |
Key Features and Benefits
1. Performance Potential with NVIDIA A100 GPU
- NVIDIA A100 GPU: Designed for the most demanding computational tasks such as machine learning, deep learning, and big data processing. With 80GB memory per accelerator, they provide high performance and capacity for parallel data processing.
- AI and ML Optimization: The server efficiently handles AI and ML tasks, crucial for organizations working with extensive datasets requiring fast computations.
2. High Scalability and Flexibility
- Expansion Support: Supports a wide range of configurations including memory, storage, and other component expansions
- Extensibility: Ready for future expansion with additional graphics cards and components
3. Security and Reliability
- Integrated Security: Features Silicon Root of Trust for protection against hardware and firmware-level attacks
- Redundant Systems: Includes redundant power supplies and enterprise-grade components
Ideal Use Cases
AI and Machine Learning (MLaaS)
- Training and inference of deep neural networks
- Natural language processing
- Computer vision applications
Estimated monthly revenue: $2,000 - $10,000
Big Data and Analytics
- Processing and analyzing large datasets
- Real-time data analytics
- Business intelligence applications
Estimated monthly revenue: $3,000 - $15,000
Virtualization and Cloud Computing
- Running multiple virtual machines
- Cloud infrastructure services
- Container orchestration
Estimated monthly revenue: $2,000 - $10,000
Enterprise Applications
- High-performance databases
- Enterprise resource planning (ERP)
- Customer relationship management (CRM)
Estimated monthly revenue: $1,000 - $7,000
Configuration Options (CTO - Configure to Order)
The server can be customized to meet specific organizational requirements, including processor, memory, storage, and networking components configurations.
The questions buyers ask us most often before ordering a server.
How long does it take?
Machines built from components we hold ship quickly; anything requiring a specific GPU generation depends on supply. We give you a date before you pay, and if it moves we tell you rather than letting you find out.
Can the configuration be changed before you build it?
Almost always. GPUs, memory, storage and cooling are chosen per order, and the listed configuration is a starting point rather than a fixed package. If you need more VRAM, faster storage or a different cooling approach, say so before you order and we will quote the change.
Can I collect the server in person?
You can. Our warehouse is in Prague, and collection in person is welcome — most people who come use the visit to go through the machine with our engineer and ask the questions that are awkward over email. For orders within the Czech Republic we also try to deliver personally and walk you through the setup on site.
Can I talk to someone who actually understands the workload?
Yes. We have an engineer who works on AI systems specifically, not a general sales desk. If your question is about batch sizes, quantisation, interconnect or where your bottleneck will be, ask it — that conversation usually changes the configuration for the better.
Which model can I run on this configuration?
Yes. Every machine is assembled, burn-in tested and benchmarked on real AI workloads before it ships, and it leaves us with an LLM already installed and running. You plug it in, connect it to your network and start work — the only decision left is which project it runs first.
How do you test a server before shipping?
We run it against actual AI workloads rather than synthetic scores: inference throughput, sustained load behaviour and thermals under continuous operation. You get the benchmark results with the machine, so the performance you were promised is the performance you can verify on day one.
Is the server ready to run when it arrives?
Yes. Every machine is assembled, burn-in tested and benchmarked on real AI workloads before it ships, and it leaves us with an LLM already installed and running. You plug it in, connect it to your network and start work — the only decision left is which project it runs first.
Ships from our EU warehouse. Heavy items may require freight arrangement — contact us for a shipping quote and lead time. 2-year limited warranty with advanced RMA support; extended warranty available.
Not exactly what you need?
Tell us your workload and we'll spec this platform around it — GPUs, memory, storage and cooling matched to what you actually run.