Configuration Documentation
Configuration Documentation: "Apex-8000" - High-Performance Data Server
This document details the specifications, performance, use cases, and maintenance considerations for the "Apex-8000" server configuration. This is a high-performance server designed for demanding workloads such as database management, virtualization, and high-performance computing. This document is intended for system administrators, IT professionals, and hardware engineers responsible for deploying and maintaining this configuration. Refer to the Server Hardware Glossary for definitions of terms used herein.
1. Hardware Specifications
The Apex-8000 configuration is built around a dual-socket server platform, prioritizing performance and scalability. All components are enterprise-grade and selected for long-term reliability. See Component Selection Criteria for more details on our vendor choices.
Component | Specification | Manufacturer | Model Number | Notes |
---|---|---|---|---|
CPU | Dual Intel Xeon Platinum 8480+ | Intel | CPU_Platinum_8480Plus | 56 Cores / 112 Threads per CPU, 3.2 GHz Base Frequency, 4.0 GHz Turbo Frequency, 105MB L3 Cache, AVX-512 support. Requires compatible motherboard chipset (see below). |
Motherboard | Dual Socket Intel C741 Chipset Server Board | Supermicro | X13SWA-TF | Supports dual 4th Gen Intel Xeon Scalable processors, up to 12TB DDR5 ECC Registered memory, multiple PCIe 5.0 slots, dual 10GbE LAN ports, and IPMI 2.0 remote management. |
RAM | 1TB (16 x 64GB) DDR5 ECC Registered LRDIMM | Samsung | M393A4K40DB8-CWE | 5600MHz, 4800MHz supported with CPU limitations, optimized for Intel Xeon Platinum processors. Utilizes 8 memory channels per CPU for maximum bandwidth. Refer to Memory Configuration Best Practices for optimal setup. |
Storage - OS Drive | 1TB NVMe PCIe Gen4 x4 SSD | Western Digital | SN850 | For operating system and essential applications. Provides fast boot and application loading times. |
Storage - Primary Data | 8 x 8TB SAS 12Gb/s 7200RPM Enterprise HDD | Seagate | EXOS X24 | Configured in RAID 6 for data redundancy and performance. Total usable capacity approximately 48TB. See RAID Configuration Guide for detailed information. |
Storage - Cache/Tiering | 2 x 1.92TB NVMe PCIe Gen4 x4 SSD | Micron | 9400 Pro | Used as read/write cache for the SAS HDD array, improving I/O performance. Utilizes Storage Tiering Technologies. |
RAID Controller | Broadcom SAS MegaRAID 9460-8i | Broadcom | 9460-8i | 8-port SAS/SATA 12Gb/s HBA with hardware RAID capabilities (RAID 0, 1, 5, 6, 10, 50, 60). Supports full RAID feature set. |
Network Interface Card (NIC) | Dual-Port 100GbE QSFP28 | Mellanox | ConnectX-7 | Supports RDMA over Converged Ethernet (RoCEv2) for low-latency networking. See Networking Technologies Overview. |
Power Supply Unit (PSU) | 2 x 1600W 80+ Platinum Redundant | Supermicro | PWS-1600-1R | Provides redundant power for high availability. Supports wide input voltage range (100-240VAC). Refer to Power Supply Redundancy Guide. |
Cooling System | High-Performance Air Cooling with Redundant Fans | Supermicro | Standard Chassis Fans | Multiple redundant fans ensure consistent cooling even in the event of a fan failure. See Thermal Management Strategies. |
Chassis | 4U Rackmount Server Chassis | Supermicro | 847E16-R1200B | Supports dual processors, up to 16 DIMMs, and multiple expansion cards. |
2. Performance Characteristics
The Apex-8000 configuration is designed for high performance in a variety of workloads. The following benchmark results demonstrate its capabilities. All benchmarks were conducted in a controlled environment with consistent methodology. See Performance Testing Methodology for details.
- **SPEC CPU 2017:**
* SPECrate2017_fp_base: 1250 * SPECrate2017_int_base: 980 * SPECspeed2017_fp_base: 350 * SPECspeed2017_int_base: 280
- **PassMark PerformanceTest 10:** Overall Score: 25,000
- **Iometer Disk I/O:** Sustained read/write speeds of 8GB/s with RAID 6 configuration and cache enabled. IOPS exceeding 500,000.
- **Database Performance (PostgreSQL):** TPC-C benchmark achieved 250,000 Transactions Per Minute (TPM-C) with a scale factor of 100.
- **Virtualization (VMware vSphere):** Supports up to 100 virtual machines with 8 vCPUs and 32GB of RAM each without significant performance degradation.
- Real-World Performance:**
In real-world testing, the Apex-8000 consistently outperformed comparable configurations in database intensive tasks, data analytics, and virtualized environments. The large memory capacity and fast storage subsystem contribute significantly to its performance. Network latency is minimized due to the 100GbE NICs and RDMA support. Detailed performance logs and monitoring data are available in Server Performance Monitoring.
3. Recommended Use Cases
The Apex-8000 configuration is ideally suited for the following use cases:
- **Large-Scale Database Management:** Handles demanding database workloads with high transaction rates and large data volumes. Suitable for Oracle, Microsoft SQL Server, PostgreSQL, and MySQL databases.
- **Virtualization Infrastructure:** Provides a robust platform for hosting a large number of virtual machines, supporting business-critical applications. Compatible with VMware vSphere, Microsoft Hyper-V, and KVM.
- **High-Performance Computing (HPC):** Suitable for scientific simulations, financial modeling, and other computationally intensive tasks. The dual CPUs and large memory capacity provide the necessary processing power.
- **Data Analytics and Business Intelligence:** Processes large datasets quickly and efficiently, enabling faster insights and better decision-making. Supports big data platforms like Hadoop and Spark.
- **Video Encoding/Transcoding:** Handles demanding video processing workloads with minimal latency.
- **AI/Machine Learning (Inference):** Offers substantial compute power for running inference workloads. Dedicated GPU acceleration can be added. See GPU Integration Guide.
4. Comparison with Similar Configurations
The Apex-8000 configuration represents a high-end server solution. Here's a comparison with other similar configurations:
Configuration | CPU | RAM | Storage | Network | Estimated Cost | Use Cases |
---|---|---|---|---|---|---|
Apex-8000 (This Document) | Dual Intel Xeon Platinum 8480+ | 1TB DDR5 ECC Registered | 8 x 8TB SAS + 2 x 1.92TB NVMe | Dual-Port 100GbE QSFP28 | $35,000 - $45,000 | Large-Scale Databases, Virtualization, HPC, Data Analytics |
Apex-7000 | Dual Intel Xeon Gold 6430 | 512GB DDR5 ECC Registered | 4 x 4TB SAS + 1 x 960GB NVMe | Dual-Port 25GbE SFP28 | $20,000 - $30,000 | Medium-Sized Databases, Virtualization, Application Servers |
Entry-Level Server | Dual Intel Xeon Silver 4310 | 128GB DDR4 ECC Registered | 2 x 2TB SAS | Single-Port 1GbE | $8,000 - $12,000 | Small Business Applications, Web Hosting, File Servers |
Competitor X - High-End | Dual AMD EPYC 9654 | 2TB DDR5 ECC Registered | 12 x 16TB SAS + 4 x 3.84TB NVMe | Dual-Port 200GbE | $40,000 - $50,000 | Similar to Apex-8000, potentially better for heavily threaded applications. |
The Apex-8000 offers a balance of performance, scalability, and reliability. While the Competitor X configuration may offer higher peak performance in certain scenarios due to its larger memory capacity and faster networking, the Apex-8000 provides a cost-effective solution for a wide range of demanding workloads. A detailed Total Cost of Ownership (TCO) analysis is available in TCO Analysis Report.
5. Maintenance Considerations
Maintaining the Apex-8000 configuration requires careful attention to cooling, power, and monitoring.
- **Cooling:** The server generates significant heat, especially under heavy load. Ensure adequate airflow in the server room and regularly check fan functionality. Dust accumulation should be prevented through regular cleaning. Consider utilizing Data Center Cooling Best Practices.
- **Power Requirements:** The server requires a dedicated power circuit with sufficient capacity (minimum 30 amps at 208V or 20 amps at 120V). Redundant power supplies provide high availability, but require two separate power feeds. Consult Electrical Infrastructure Requirements.
- **Monitoring:** Implement comprehensive server monitoring to track CPU utilization, memory usage, disk I/O, network traffic, and temperature. Utilize tools like Nagios, Zabbix, or Prometheus. Refer to Server Monitoring Tools Comparison.
- **RAID Maintenance:** Regularly check the health of the RAID array and replace failing drives promptly. Implement a robust backup and disaster recovery plan. See Data Backup and Recovery Procedures.
- **Firmware Updates:** Keep all firmware (BIOS, RAID controller, NIC, etc.) up to date to ensure optimal performance and security. Follow the Firmware Update Process.
- **Physical Security:** Secure the server physically to prevent unauthorized access. Implement access controls and monitor physical security logs. See Data Center Physical Security Guidelines.
- **Scheduled Maintenance:** Implement a schedule for preventative maintenance, including cleaning, fan replacement, and cable management. Follow the Preventative Maintenance Checklist.
- **Remote Access:** Secure remote access should be configured using a VPN or dedicated remote management interface (IPMI). See Secure Remote Access Configuration.
Template:Clear Server Configuration: Technical Deep Dive and Deployment Guide
This document provides a comprehensive technical analysis of the Template:Clear server configuration, a standardized build often utilized in enterprise environments requiring a balance of compute density, memory capacity, and I/O flexibility. The Template:Clear configuration represents a baseline architecture designed for maximum compatibility and scalable deployment across diverse workloads.
1. Hardware Specifications
The Template:Clear configuration is architecturally defined by its adherence to standardized, high-volume component sourcing, ensuring long-term availability and streamlined supportability. The core platform is typically based on a dual-socket (2P) motherboard design utilizing the latest generation of enterprise-grade CPUs.
1.1. Core Processing Unit (CPU)
The CPU selection is critical to the Template:Clear profile, prioritizing core count and memory bandwidth over extreme single-thread frequency, making it suitable for virtualization and parallel processing tasks.
Parameter | Specification | Notes |
---|---|---|
Architecture | Intel Xeon Scalable (e.g., 4th Gen Sapphire Rapids or equivalent AMD EPYC Genoa/Bergamo) | Focus on platform support for PCIe Gen5 and DDR5 ECC. |
Sockets | 2P (Dual Socket) | Ensures high core density and maximum memory channel access. |
Base Core Count (Min) | 48 Cores (24 Cores per Socket) | Achieved via dual mid-range SKUs (e.g., 2x Platinum 8460Y or 2x EPYC 9354P). |
Max Core Count (Optional Upgrade) | 128 Cores (2x 64-core SKUs) | Available in "Template:Clear+" variants, requiring enhanced cooling. |
Base Clock Frequency | 2.0 GHz (Nominal) | Optimized for sustained, multi-threaded load. |
Turbo Boost Max Frequency | Up to 3.8 GHz (Single-Threaded Burst) | Varies significantly based on thermal headroom and workload utilization. |
Cache (L3 Total) | Minimum 120 MB Shared Cache | Essential for minimizing latency in memory-intensive applications. |
Thermal Design Power (TDP) Total | 400W - 550W (System Dependent) | Dictates rack power density planning. |
1.2. Memory Subsystem (RAM)
The Template:Clear configuration mandates a high-capacity, high-speed DDR5 deployment, typically running at the maximum supported speed for the chosen CPU generation, often 4800 MT/s or 5200 MT/s. The configuration emphasizes balanced population across all available memory channels (typically 8 or 12 channels per CPU).
Parameter | Specification | Configuration Rationale |
---|---|---|
Technology | DDR5 ECC Registered (RDIMM) | Mandatory for enterprise data integrity and stability. |
Total Capacity (Standard) | 512 GB | Achieved via 8x 64GB DIMMs (Populating 4 channels per socket). |
Maximum Capacity | 4 TB (Using 32x 128GB DIMMs) | Requires high-density motherboard support. |
Configuration Layout | Fully Symmetrical Dual-Rank Population (for initial 512GB) | Ensures optimal memory interleaving and minimizes latency variation. |
Memory Speed (Minimum) | 4800 MT/s | Standard for DDR5 platforms supporting 2P configurations. |
1.3. Storage Architecture
Storage architecture in Template:Clear favors speed and redundancy for operating systems and critical databases, while providing expansion bays for bulk storage or high-speed NVMe acceleration tiers.
- **Boot/OS Drives:** Dual 960GB SATA/SAS SSDs configured in hardware RAID 1 for OS redundancy.
- **Primary Data Tier (Hot Storage):** 4x 3.84TB Enterprise NVMe U.2 SSDs.
- **RAID Controller:** A dedicated hardware RAID controller (e.g., Broadcom MegaRAID 9580 series) supporting PCIe Gen5 passthrough for maximum NVMe performance.
Drive Bay | Type | Quantity | Total Usable Capacity (Approx.) |
---|---|---|---|
Primary NVMe Tier | Enterprise U.2 NVMe | 4 | ~12 TB (RAID 10 or RAID 5) |
OS/Boot Tier | SATA/SAS SSD | 2 | 960 GB (RAID 1) |
Expansion Bays | 8x 2.5" Bays (Configurable) | 0 (Default) | N/A |
Maximum Theoretical Storage Density | 24x 2.5" Bays + 4x M.2 Slots | N/A | ~180 TB (HDD) or ~75 TB (High-Density NVMe) |
1.4. Networking and I/O
Networking is standardized to support high-throughput back-end connectivity, essential for storage virtualization or clustered environments.
- **LOM (LAN on Motherboard):** Dual 10GbE Base-T (RJ-45) ports for management and general access.
- **Expansion Slot (PCIe Slot 1 - Primary):** Dual-port 25GbE SFP28 adapter, directly connected to the primary CPU's PCIe lanes for low-latency network access.
- **Expansion Slot (PCIe Slot 2 - Secondary):** Reserved for future expansion (e.g., HBA, InfiniBand, or additional high-speed Ethernet).
The platform must support at least PCIe Gen5 x16 lanes to fully saturate the networking and storage adapters.
1.5. Chassis and Power
The Template:Clear configuration typically resides in a standard 2U rackmount chassis, balancing component density with thermal management requirements.
- **Chassis Form Factor:** 2U Rackmount (Depth optimized for standard 1000mm racks).
- **Power Supplies (PSUs):** Dual Redundant, Hot-Swappable, 2000W (Platinum/Titanium rated). This overhead is necessary to handle peak CPU TDP combined with high-speed NVMe storage power draw.
- **Cooling:** High-velocity, redundant fan modules (N+1 configuration). Airflow must be strictly maintained from front-to-back.
2. Performance Characteristics
The Template:Clear configuration is engineered for balanced throughput, excelling in scenarios where data must be processed rapidly across multiple parallel threads, often bottlenecked by memory access or I/O speed rather than raw CPU cycles.
2.1. Compute Benchmarks
Performance metrics are highly dependent on the specific CPU generation chosen, but standardized tests reflect the expected throughput profile.
Benchmark Area | Template:Clear (Baseline) | High-Core Variant (+40% Cores) | High-Frequency Variant (+15% Clock Speed) |
---|---|---|---|
SPECrate2017_int_base (Throughput) | 2500 | 3400 | 2650 |
SPECrate2017_fp_peak (Floating Point Throughput) | 3200 | 4500 | 3450 |
Memory Bandwidth (Aggregate) | ~800 GB/s | ~800 GB/s (Limited by CPU/DDR5 Channels) | ~800 GB/s |
Single-Threaded Performance Index (SPECspeed) | 100 (Reference) | 95 | 115 |
- Analysis:* The data clearly shows that the Template:Clear excels in **throughput** (SPECrate), which measures how much work can be completed concurrently, confirming its strength in multi-threaded applications like Virtualization hosts or large-scale Web Servers. Single-threaded performance, while adequate, is not the primary optimization goal.
2.2. I/O Throughput and Latency
The implementation of PCIe Gen5 and high-speed NVMe storage significantly elevates the I/O profile compared to previous generations utilizing PCIe Gen4.
- **Sequential Read Performance (Aggregate NVMe):** Expected sustained reads exceeding 25 GB/s when utilizing 4x NVMe drives in a striped configuration (RAID 0 or equivalent).
- **Network Latency:** Under minimal load, end-to-end network latency via the 25GbE adapter is typically sub-5 microseconds (µs) to the local SAN fabric.
- **Storage Latency (Random 4K QD32):** Average latency for the primary NVMe tier is expected to remain below 150 microseconds (µs), a critical factor for database performance.
- 2.3. Power Efficiency
Due to the shift to advanced process nodes (e.g., Intel 7 or TSMC N4), the Template:Clear configuration offers improved performance per watt compared to its predecessors.
- **Idle Power Consumption:** Approximately 250W – 300W (depending on DIMM count and NVMe power state).
- **Peak Power Draw:** Can approach 1600W under full synthetic load (CPU stress testing combined with maximum I/O saturation). This necessitates careful planning for Rack Power Distribution Units (PDUs).
3. Recommended Use Cases
The Template:Clear configuration is designed as a versatile workhorse, but its specific hardware strengths guide its optimal deployment scenarios.
- 3.1. Virtualization Hosts (Hypervisors)
This is the primary intended use case. The combination of high core count (48+) and large, fast memory capacity (512GB+) allows for the dense consolidation of Virtual Machines (VMs).
- **Benefit:** The high memory bandwidth ensures that numerous memory-hungry guest operating systems can function without memory contention, while the dual-socket design facilitates efficient hypervisor resource management (e.g., VMware vSphere or Microsoft Hyper-V).
- **Configuration Note:** Ensure the host OS is tuned for NUMA (Non-Uniform Memory Access) awareness to maximize performance for co-located VM workloads.
- 3.2. High-Performance Database Servers (OLTP/OLAP)
For transactional databases (OLTP) that rely heavily on memory caching and fast random I/O, the Template:Clear provides an excellent foundation.
- **OLTP (e.g., SQL Server, PostgreSQL):** The fast NVMe tier handles transaction logs and indexes, while the large RAM pool caches the working set.
- **OLAP (e.g., Data Warehousing):** While dedicated high-core count servers might be preferred for massive ETL jobs, Template:Clear is excellent for medium-scale OLAP processing and reporting, leveraging its strong floating-point throughput.
- 3.3. Container Orchestration and Microservices
When running large Kubernetes clusters, Template:Clear servers serve as robust worker nodes.
- **Benefit:** The architecture supports a high density of containers per physical host. The 25GbE networking is crucial for high-speed pod-to-pod communication within the cluster network fabric.
- 3.4. Mid-Tier Application Servers
For complex Java application servers (e.g., JBoss, WebSphere) or large in-memory caching layers (e.g., Redis clusters), the balanced specifications prevent premature resource exhaustion.
4. Comparison with Similar Configurations
To understand the value proposition of Template:Clear, it is useful to compare it against two common alternatives: the "Template:Compute-Dense" (focused purely on CPU frequency) and the "Template:Storage-Heavy" (focused on maximum disk capacity).
- 4.1. Configuration Profiles Summary
Feature | Template:Clear (Balanced) | Template:Compute-Dense (1P, High-Freq) | Template:Storage-Heavy (4U, Max Disk) |
---|---|---|---|
Sockets | 2P | 1P | 2P |
Max Cores (Approx.) | 96 | 32 | 64 |
Base RAM Capacity | 512 GB | 256 GB | 1 TB |
Storage Type Focus | NVMe U.2 (Speed) | Internal M.2/SATA (Low Profile) | SAS/SATA HDD (Capacity) |
Networking Standard | 2x 10GbE + 2x 25GbE | 2x 10GbE | 4x 1GbE + 1x 10GbE |
Typical Chassis Size | 2U | 1U | 4U |
Primary Bottleneck | Power/Thermal Limits | Memory Bandwidth | I/O Throughput |
- 4.2. Performance Trade-offs
- **Template:Clear vs. Compute-Dense:** The Compute-Dense configuration, often using a single, high-frequency CPU (e.g., a specialized Xeon W or EPYC single-socket variant), will outperform Template:Clear in latency-sensitive, low-concurrency tasks, such as legacy single-threaded applications or highly specialized EDA tools. However, Template:Clear offers nearly triple the aggregate throughput due to its dual-socket memory channels and core count. For modern web services and virtualization, Template:Clear is superior.
- **Template:Clear vs. Storage-Heavy:** The Storage-Heavy unit sacrifices the high-speed NVMe tier and high-density RAM for sheer disk volume (often 60+ HDDs). It is ideal for archival, large-scale backup targets, or NAS deployments. Template:Clear is significantly faster for active processing workloads due to its DDR5 memory and NVMe arrays, which are orders of magnitude quicker than spinning rust for random access patterns.
In summary, Template:Clear occupies the critical middle ground, providing the necessary I/O backbone and memory capacity to support modern, performance-sensitive applications without the extreme specialization (and associated cost) of pure compute or pure storage nodes.
5. Maintenance Considerations
Deploying the Template:Clear configuration requires adherence to strict operational standards, particularly concerning power, cooling, and component replacement procedures, due to the dense integration of high-TDP components.
- 5.1. Thermal Management and Airflow
The 2U chassis housing dual high-TDP CPUs and multiple NVMe drives generates significant localized heat.
1. **Rack Density:** Do not deploy more than 10 Template:Clear units per standard 42U rack unless the Data Center Cooling infrastructure supports at least 15kW per rack cabinet. 2. **Airflow Path Integrity:** Ensure all blanking panels are installed in unused drive bays and PCIe slots. Any breach in the front-to-back airflow path can lead to CPU throttling (thermal throttling) and subsequent performance degradation. 3. **Fan Monitoring:** Implement rigorous monitoring of the redundant fan modules. A single fan failure in a high-power configuration can quickly cascade into overheating, especially during sustained peak load periods.
- 5.2. Power Redundancy and Load Balancing
The dual 2000W Titanium PSUs provide robust redundancy (N+1), but the baseline power draw is high.
- **PDU Configuration:** PSUs should be connected to separate PDUs which, in turn, must be fed from independent UPS branches to ensure survival against single-source power failure.
- **Firmware Updates:** Regular updates to the BMC firmware are essential. Modern BMCs incorporate sophisticated power management logic that must be current to correctly report and manage the dynamic power envelopes of the latest CPUs and NVMe drives.
- 5.3. Component Replacement Protocols
Given the reliance on ECC memory and hardware RAID controllers, specific procedures must be followed for component swaps to maintain data integrity and system uptime.
- **Memory Replacement:** If replacing a DIMM, the server must be powered down completely (AC disconnection recommended). The system's BIOS/UEFI must be configured to recognize the new memory topology, often requiring a full memory training cycle upon the first boot. Consult the Motherboard manual for correct channel population order.
- **NVMe Drives:** Due to the use of hardware RAID, hot-swapping NVMe drives requires verification that the RAID controller supports the specific drive's power-down sequence. If the drive is part of a critical array (RAID 10/5), a rebuild process will commence immediately upon insertion of a replacement drive, which can temporarily increase system I/O latency. Monitoring the rebuild progress via the RAID management utility is mandatory.
- 5.4. Firmware and Driver Lifecycle Management
The performance characteristics of Template:Clear are highly sensitive to the quality of the underlying firmware, particularly for the CPU microcode and the HBA/RAID firmware.
- **BIOS/UEFI:** Must be kept current to ensure optimal DDR5 speed negotiation and PCIe Gen5 stability.
- **Storage Drivers:** Use vendor-validated, certified drivers (e.g., QLogic/Broadcom drivers) specific to the operating system kernel version. Generic OS drivers often fail to expose the full performance capabilities of the enterprise NVMe devices.
- **Networking Stack:** For the 25GbE adapters, verify that the TOE features are correctly enabled in the OS kernel if the workload benefits from hardware offloading.
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.* ⚠️
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 |
Order Your Dedicated Server
Configure and order your ideal server configuration
Need Assistance?
- Telegram: @powervps Servers at a discounted price
⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️