Benchmarking Procedures Document
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Benchmarking Procedures Document: "Project Chimera" Server Configuration
This document details the technical specifications, performance characteristics, recommended use cases, comparisons, and maintenance considerations for the "Project Chimera" server configuration. This configuration is designed for high-performance computing, virtualization, and data-intensive applications. This document is intended for internal use by system administrators, engineers, and support staff. See Server Naming Conventions for the origin of the project name.
1. Hardware Specifications
The "Project Chimera" server configuration is built around a dual-socket motherboard designed for maximum throughput and scalability. Detailed specifications are outlined below. Refer to Hardware Component Selection Process for the rationale behind component choices.
Component | Specification | Manufacturer | Model Number | Notes |
---|---|---|---|---|
CPU | Dual Intel Xeon Platinum 8480+ | Intel | P-8480+ | 56 Cores/112 Threads per CPU, 3.2 GHz Base Frequency, 4.0 GHz Max Turbo Frequency, 320MB L3 Cache |
Motherboard | Supermicro X13 Series | Supermicro | X13DEI-N6 | Dual Socket LGA 4677, DDR5 ECC Registered Memory Support, PCIe 5.0 Support |
RAM | 2TB DDR5 ECC Registered | Samsung | M393A4K40DB8-CWE | 16 x 128GB Modules, 5600 MHz, CL36, Buffered |
Storage – OS/Boot | 1TB NVMe PCIe Gen4 x4 SSD | Western Digital | SN850X | Read: 7300 MB/s, Write: 6600 MB/s |
Storage – Application/Data | 8 x 16TB SAS 12Gbps 7.2K RPM Enterprise HDD | Seagate | Exos X16 | RAID 10 Configuration (4 x Drives per VDG) |
Storage – Cache | 2 x 3.2TB NVMe PCIe Gen4 x4 SSD | Micron | 9400 Pro | Used as Read/Write Cache for the HDD RAID array via Hardware RAID Controller |
GPU | NVIDIA A100 80GB | NVIDIA | A100-80G | PCIe 4.0 x16, Tensor Cores for AI/ML workloads |
Network Interface Cards (NICs) | 2 x 200GbE QSFP28 | Mellanox (NVIDIA) | ConnectX7-QSFP28 | RDMA capable, supports RoCEv2 and iWARP |
Power Supply Units (PSUs) | 2 x 3000W 80+ Titanium | Supermicro | PWS-3000T | Redundant Power Supplies, N+1 Configuration |
RAID Controller | Broadcom MegaRAID SAS 9660-8i | Broadcom | 9660-8i | Hardware RAID Controller, supports RAID levels 0, 1, 5, 6, 10, and more. See RAID Configuration Guidelines. |
Chassis | 4U Rackmount Chassis | Supermicro | 847E16-R1200B | Supports dual CPUs, multiple GPUs, and extensive storage |
Cooling | Redundant Hot-Swap Fans with High-Efficiency Heat Sinks | Supermicro | Integrated with Chassis | Designed for optimal airflow and thermal management. See Thermal Management Procedures. |
2. Performance Characteristics
The "Project Chimera" configuration was subjected to a series of benchmarks to evaluate its performance capabilities. All benchmarks were run in a controlled environment with consistent configurations. Benchmark results are detailed below. Refer to Benchmark Methodology for detailed testing procedures.
- CPU Performance:* Using SPEC CPU 2017, the server achieved a SPECrate2017_fp_base2 score of 485 and a SPECrate2017_int_base2 score of 612. These scores demonstrate excellent performance in both floating-point and integer workloads. Detailed results can be found in SPEC CPU 2017 Results Archive.
- Storage Performance:* IOmeter tests with a 4KB random read/write workload on the RAID 10 array yielded an average IOPS of 85,000 and a latency of 0.8ms. Sequential read/write speeds averaged 1.8 GB/s. Cache performance with the Micron 9400 Pro NVMe drives resulted in approximately 300,000 IOPS with a latency of 0.2ms. See Storage Performance Analysis for a comprehensive report.
- Network Performance:* Using iperf3, the 200GbE NICs achieved a sustained throughput of 185 Gbps with negligible packet loss. RDMA testing with RoCEv2 showed a latency of under 10 microseconds. Details are available in the Network Performance Report.
- GPU Performance:* Using the MLPerf benchmark suite, the NVIDIA A100 GPU achieved a score of 450 TFLOPS for FP16 training and 300 TFLOPS for FP32 inference. This highlights the server’s suitability for AI and machine learning tasks. Refer to GPU Benchmarking Documentation.
- Virtualization Performance:* Running VMware vSphere 7.0, the server was able to support 64 virtual machines (VMs) with 16 vCPUs and 64GB of RAM each, maintaining acceptable performance levels. VMware performance metrics are documented in Virtualization Performance Monitoring.
- Real-World Performance:**
In real-world scenarios, the server demonstrated exceptional performance. A large-scale database migration (50TB) completed in under 8 hours. High-resolution video rendering tasks were completed 30% faster compared to a baseline configuration. Machine learning model training times were reduced by 40% due to the powerful GPU and CPU combination.
3. Recommended Use Cases
The "Project Chimera" server configuration is ideally suited for the following applications:
- **High-Performance Computing (HPC):** Its powerful CPUs, large memory capacity, and high-speed network connectivity make it ideal for scientific simulations, financial modeling, and other computationally intensive tasks. See HPC Application Deployment Guide.
- **Virtualization:** The server can efficiently host a large number of virtual machines, making it suitable for server consolidation and cloud infrastructure. Consider Virtualization Best Practices.
- **Data Analytics & Big Data:** The fast storage subsystem and high memory capacity enable efficient processing of large datasets for data analytics and business intelligence applications.
- **Artificial Intelligence (AI) & Machine Learning (ML):** The NVIDIA A100 GPU provides the necessary processing power for training and deploying AI/ML models. Refer to AI/ML Infrastructure Guidelines.
- **Database Servers:** The server's performance and reliability make it well-suited for hosting large, mission-critical databases. See Database Server Configuration.
- **Video Rendering & Encoding:** The powerful CPUs and GPUs accelerate video rendering and encoding tasks.
4. Comparison with Similar Configurations
The "Project Chimera" configuration is positioned as a high-end solution. Here's a comparison with similar configurations:
Configuration | CPU | RAM | Storage | GPU | Price (Estimate) | Use Case |
---|---|---|---|---|---|---|
**Project Chimera** | Dual Intel Xeon Platinum 8480+ | 2TB DDR5 | 1TB NVMe + 128TB SAS RAID 10 | NVIDIA A100 80GB | $45,000 - $55,000 | HPC, Virtualization, AI/ML, Data Analytics |
**Configuration A (Mid-Range)** | Dual Intel Xeon Gold 6348 | 512GB DDR4 | 512GB NVMe + 32TB SAS RAID 5 | NVIDIA RTX A4000 | $20,000 - $25,000 | Virtualization, Small-Scale Data Analytics |
**Configuration B (Entry-Level)** | Single Intel Xeon Silver 4310 | 256GB DDR4 | 512GB NVMe | None | $8,000 - $12,000 | Web Hosting, Small Business Applications |
**Configuration C (AMD EPYC)** | Dual AMD EPYC 7763 | 2TB DDR4 | 1TB NVMe + 128TB SAS RAID 10 | NVIDIA A100 80GB | $40,000 - $50,000 | HPC, Virtualization, AI/ML, Data Analytics (AMD alternative) |
- Key Differences:**
- **CPU:** The Intel Xeon Platinum 8480+ offers superior core count and clock speeds compared to the Gold and Silver series. AMD EPYC 7763 provides a competitive alternative with similar performance characteristics.
- **RAM:** 2TB of DDR5 RAM provides significantly more capacity and bandwidth compared to the 512GB and 256GB options.
- **Storage:** The combination of NVMe cache and SAS RAID 10 provides a balance of speed and capacity.
- **GPU:** The NVIDIA A100 is a high-end GPU designed for demanding AI/ML workloads, offering significant performance advantages over the RTX A4000. See GPU Comparison Matrix for detailed specifications.
5. Maintenance Considerations
Maintaining the "Project Chimera" server configuration requires careful consideration of several factors.
- **Cooling:** The high-power components generate significant heat. Ensure the server room has adequate cooling capacity and that the chassis fans are functioning properly. Regularly check for dust accumulation. See Data Center Cooling Best Practices. Monitor CPU and GPU temperatures using Server Monitoring Tools.
- **Power Requirements:** The server requires a dedicated power circuit with sufficient amperage to handle the peak power draw of approximately 6000W. Ensure the power supply units are connected to separate power feeds for redundancy. See Power Distribution Unit (PDU) Configuration.
- **RAID Maintenance:** Regularly monitor the health of the RAID array and replace any failing hard drives promptly. Implement a robust backup and disaster recovery plan. Refer to Data Backup and Recovery Procedures.
- **Firmware Updates:** Keep the server's BIOS, firmware, and drivers up to date to ensure optimal performance and security. Use Firmware Update Management System.
- **Network Configuration:** Properly configure the network interfaces and ensure adequate bandwidth for all applications. See Network Configuration Guide.
- **Physical Security:** The server should be housed in a secure data center with restricted access. Implement physical security measures to prevent unauthorized access. Refer to Data Center Security Policies.
- **Regular Diagnostics:** Run regular system diagnostics to identify potential hardware failures. Utilize Server Diagnostic Tools.
- **Component Lifecycles:** Understand the expected lifecycles of each component and plan for replacements accordingly. See Hardware Lifecycle Management.
Template:DocumentationFooter Hardware RAID Controller Thermal Management Procedures Benchmark Methodology SPEC CPU 2017 Results Archive Storage Performance Analysis Network Performance Report GPU Benchmarking Documentation Virtualization Performance Monitoring HPC Application Deployment Guide Virtualization Best Practices Database Server Configuration AI/ML Infrastructure Guidelines GPU Comparison Matrix Data Center Cooling Best Practices Server Monitoring Tools Power Distribution Unit (PDU) Configuration Data Backup and Recovery Procedures Firmware Update Management System Network Configuration Guide Data Center Security Policies Server Diagnostic Tools Hardware Lifecycle Management Hardware Component Selection Process RAID Configuration Guidelines Server Naming Conventions ```
Intel-Based Server Configurations
Configuration | Specifications | Benchmark |
---|---|---|
Core i7-6700K/7700 Server | 64 GB DDR4, NVMe SSD 2 x 512 GB | CPU Benchmark: 8046 |
Core i7-8700 Server | 64 GB DDR4, NVMe SSD 2x1 TB | CPU Benchmark: 13124 |
Core i9-9900K Server | 128 GB DDR4, NVMe SSD 2 x 1 TB | CPU Benchmark: 49969 |
Core i9-13900 Server (64GB) | 64 GB RAM, 2x2 TB NVMe SSD | |
Core i9-13900 Server (128GB) | 128 GB RAM, 2x2 TB NVMe SSD | |
Core i5-13500 Server (64GB) | 64 GB RAM, 2x500 GB NVMe SSD | |
Core i5-13500 Server (128GB) | 128 GB RAM, 2x500 GB NVMe SSD | |
Core i5-13500 Workstation | 64 GB DDR5 RAM, 2 NVMe SSD, NVIDIA RTX 4000 |
AMD-Based Server Configurations
Configuration | Specifications | Benchmark |
---|---|---|
Ryzen 5 3600 Server | 64 GB RAM, 2x480 GB NVMe | CPU Benchmark: 17849 |
Ryzen 7 7700 Server | 64 GB DDR5 RAM, 2x1 TB NVMe | CPU Benchmark: 35224 |
Ryzen 9 5950X Server | 128 GB RAM, 2x4 TB NVMe | CPU Benchmark: 46045 |
Ryzen 9 7950X Server | 128 GB DDR5 ECC, 2x2 TB NVMe | CPU Benchmark: 63561 |
EPYC 7502P Server (128GB/1TB) | 128 GB RAM, 1 TB NVMe | CPU Benchmark: 48021 |
EPYC 7502P Server (128GB/2TB) | 128 GB RAM, 2 TB NVMe | CPU Benchmark: 48021 |
EPYC 7502P Server (128GB/4TB) | 128 GB RAM, 2x2 TB NVMe | CPU Benchmark: 48021 |
EPYC 7502P Server (256GB/1TB) | 256 GB RAM, 1 TB NVMe | CPU Benchmark: 48021 |
EPYC 7502P Server (256GB/4TB) | 256 GB RAM, 2x2 TB NVMe | CPU Benchmark: 48021 |
EPYC 9454P Server | 256 GB RAM, 2x2 TB NVMe |
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⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️