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 has 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 features 2x NVIDIA A100 80GB GPU accelerators, perfect for AI and machine learning. The server has four integrated GB NICs and two 10GB SFP+ ports. Redundancy is ensured thanks to 2x 800W power supplies and management is facilitated by iLO5.
How To Make Money With HPE ProLiant DL385 Gen10 CTO Server
A server with high performance and flexibility for diverse computing tasks
1. AI and Machine Learning as a Service (MLaaS)
Offer machine learning and artificial intelligence as a service. Bill customers by computing time or on a per-project basis.
Approximate monthly earnings: $2 to $000
2. Development and Testing of AI Models
Provide AI model development and optimization services. Bill by projects or by the hour, depending on the complexity and scope of the work.
Approximate monthly earnings: $1 to $000
3. Rendering and 3D Graphics
Offer rendering services for architects, the film industry or game developers. Bill for each rendered scene.
Approximate monthly earnings: $1 to $000
4. Big Data and Analytics
Process big data and provide analytics services. Fees for data analysis or long-term contracts for data management and processing.
Approximate monthly earnings: $3 to $000
5. Hosting of Virtualized Environments
Host virtualized environments for businesses and charge monthly management and hosting fees.
Approximate monthly earnings: $2 to $000
6. Cryptocurrency Mining
Use GPU accelerators to mine cryptocurrencies like Ethereum. Consider energy costs and other expenses.
Approximate monthly earnings: $500 to $3
7. Training and Validation of Neural Networks
Offer deep neural network training and validation services for academic or commercial purposes. Charge training and validation fees based on project scope and complexity.
Approximate monthly earnings: $1 to $000
HPE Proliant DL385 Generation 10 CTO Server
The AI server with Nvidia A100 GPU is designed to handle the most demanding tasks in the field of artificial intelligence and data science. The A100 GPU provides peak performance for training and inference of deep neural networks, enables efficient parallel processing of massive data sets, and accelerates the development of complex AI models.
With its Tensor Core architecture, the A100 GPU is ideal for applications that require high accuracy and speed, such as image and video processing, speech recognition, natural language processing, big data analysis, and scientific computing simulation. These servers are used in research centers, data centers and industries where extreme computing power is needed for advanced AI and ML applications.
What is it in HPE Proliant DL385 Generation 10 CTO Server exceptional?
The HPE ProLiant DL385 Generation 10 CTO Server is an exceptional server not only due to its basic specifications, but also due to the presence of two NVIDIA A100 PCIe 80 GB GPU accelerators. Here are the key points that make this server special:
1. Performance potential with NVIDIA A100 GPU:
- NVIDIA A100 GPU: These graphics accelerators are designed for the most demanding computing tasks such as machine learning, deep learning and big data processing. With 80 GB of memory per accelerator, they provide high performance and capacity for parallel data processing.
- Optimization for AI and ML: The server is able to efficiently handle AI and ML tasks, which is important for organizations that work with large data sets and require fast calculations.
2. High Scalability and Flexibility:
- Support for extensions: The server supports a wide range of configurations including memory expansion, storage and other components, making it a flexible solution for different workloads.
- Extensibility: With the option to add additional graphics cards and other components, this server is ready for future expansion according to the needs of the organization.
3. Performance and Scalability:
- AMD EPYC processors: The combination of high-performance AMD EPYC processors and powerful GPU accelerators allows the server to handle heavy computing loads, which is crucial for environments where a high level of parallel processing is necessary.
4. Advanced Storage Support:
- NVMe and SAS storage: The server supports fast NVMe storage and enterprise SAS drives, which ensures fast data access and system stability.
5. Security and Reliability:
- Integrated security: With security features such as Silicon Root of Trust, the server ensures data and systems are protected from attacks at the hardware and firmware level.
These features make the HPE ProLiant DL385 Gen10 CTO Server with dual NVIDIA A100 GPUs the ideal solution for organizations that need high performance, flexibility and security for demanding workloads such as AI, ML and big data processing.
Use:
- Virtualization and cloud computing: High core count and memory capacity make it ideal for virtualized environments.
- Big Data and analytics: Capable of handling large data sets with significant computing power.
- General business applications: Suitable for running enterprise applications with high reliability and availability.
Customization (CTO – Configure to Order):
- The “CTO” (Configure to Order) designation means that the server can be customized to specific configurations to meet an organization’s unique requirements, including processor components, memory, storage, and networking elements.
This server is widely used in data centers for its balance between performance, scalability and security, making it a suitable choice for a wide range of enterprise applications.
This server is therefore a high-performance solution suitable for demanding computing and data tasks.
| Specifications | Detail |
|---|---|
| Processors | Two 32-core AMD EPYC 7502 processors (2,5 GHz, Max Turbo 3,4 GHz) |
| Cores / Threads | 64 cores / 128 logical processors |
| Memory | 512GB (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 80GB SXM4 PCIe GPU Accelerator |
| Power supplies | 2x redundant 800W power supply |
| Network connection | Quad Integrated GB NICs + Dual port 10GB SFP+ |
| Gull rails | A part of the package |
| Message | iLO5 Standard |
| Front panel | A part of the package |
| 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 |