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.
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We want you to be 100% satisfied with your purchase. Items can be returned or exchanged within 30 days of delivery.