Cloud computing services
```mediawiki
Technical Deep Dive: The Template:PageHeader Server Configuration
This document provides a comprehensive technical analysis of the Template:PageHeader server configuration, a standardized platform designed for high-density, scalable enterprise workloads. This configuration is optimized around a balance of core count, memory bandwidth, and I/O throughput, making it a versatile workhorse in modern data centers.
1. Hardware Specifications
The Template:PageHeader configuration adheres to a strict bill of materials (BOM) to ensure predictable performance and simplified lifecycle management across the enterprise infrastructure. This platform utilizes a dual-socket architecture based on the latest generation of high-core-count processors, paired with high-speed DDR5 memory modules.
1.1. Processor (CPU) Details
The core processing power is derived from two identical CPUs, selected for their high Instructions Per Cycle (IPC) rating and substantial L3 cache size.
| Parameter | Specification | |
|---|---|---|
| CPU Model Family | Intel Xeon Scalable (Sapphire Rapids Generation, or equivalent AMD EPYC Genoa) | |
| Quantity | 2 Sockets | |
| Core Count per CPU | 56 Cores (Total 112 Physical Cores) | |
| Thread Count per CPU | 112 Threads (HyperThreading/SMT Enabled) | |
| Base Clock Frequency | 2.4 GHz | |
| Max Turbo Frequency (Single Thread) | Up to 3.8 GHz | |
| L3 Cache Size (Total) | 112 MB per CPU (224 MB Total) | |
| TDP (Thermal Design Power) | 250W per CPU (Nominal) | |
| Socket Interconnect | UPI (Ultra Path Interconnect) or Infinity Fabric Link |
The selection of CPUs with high core counts is critical for virtualization density and parallel processing tasks, as detailed in Virtualization Best Practices. The large L3 cache minimizes latency when accessing main memory, which is crucial for database operations and in-memory caching layers.
1.2. Memory (RAM) Subsystem
The memory configuration is optimized for high bandwidth and capacity, supporting the substantial I/O demands of the dual-socket configuration.
| Parameter | Specification |
|---|---|
| Type | DDR5 ECC Registered DIMM (RDIMM) |
| Speed | 4800 MT/s (or faster, dependent on motherboard chipset support) |
| Total Capacity | 1024 GB (1 TB) |
| Module Configuration | 8 x 128 GB DIMMs (Populating 8 memory channels per CPU, 16 total DIMMs) |
| Memory Channel Utilization | 8 Channels per CPU (Optimal for performance scaling) |
| Error Correction | On-Die ECC and Full ECC Support |
Achieving optimal memory performance requires populating channels symmetrically across both CPUs. This configuration ensures all 16 memory channels are utilized, maximizing memory bandwidth, a key factor discussed in Memory Subsystem Optimization. The use of DDR5 provides significant gains in bandwidth over previous generations, as documented in DDR5 Technology Adoption.
1.3. Storage Architecture
The storage subsystem emphasizes NVMe performance for primary workloads while retaining SAS/SATA capability for bulk or archival storage. The system is configured in a 2U rackmount form factor.
| Slot/Type | Quantity | Capacity per Unit | Interface | Purpose |
|---|---|---|---|---|
| NVMe U.2 (PCIe Gen 5 x4) | 8 Drives | 3.84 TB | PCIe 5.0 | Operating System, Database Logs, High-IOPS Caching |
| SAS/SATA SSD (2.5") | 4 Drives | 7.68 TB | SAS 12Gb/s | Secondary Data Storage, Virtual Machine Images |
| Total Usable Storage (Raw) | N/A | Approximately 55 TB | N/A | N/A |
The primary OS boot volume is often configured on a dedicated, mirrored pair of small-form-factor M.2 NVMe drives housed internally on the motherboard, separate from the main drive bays, to prevent host OS activity from impacting primary application storage performance. Further details on RAID implementation can be found in Enterprise Storage RAID Standards.
1.4. Networking and I/O Capabilities
High-speed, low-latency networking is paramount for this configuration, which is often deployed as a core service node.
| Component | Specification | Quantity |
|---|---|---|
| Primary Network Interface (LOM) | 2 x 25 Gigabit Ethernet (25GbE) | 1 (Integrated) |
| Expansion Slot (PCIe Gen 5 x16) | 100GbE Quad-Port Adapter (e.g., Mellanox ConnectX-7) | Up to 4 slots available |
| Total PCIe Lanes Available | 128 Lanes (64 per CPU) | N/A |
| Management Interface (BMC) | Dedicated 1GbE Port (IPMI/Redfish) | 1 |
The transition to PCIe Gen 5 is crucial, as it doubles the bandwidth available to peripherals compared to Gen 4, accommodating high-speed networking cards and accelerators without introducing I/O bottlenecks. PCIe Topology and Lane Allocation provides a deeper dive into bus limitations.
1.5. Power and Physical Attributes
The system is housed in a standard 2U chassis, designed for high-density rack deployments.
| Parameter | Value |
|---|---|
| Form Factor | 2U Rackmount |
| Dimensions (W x D x H) | 437mm x 870mm x 87.9mm |
| Power Supplies (PSU) | 2 x 2000W Titanium Level (Redundant, Hot-Swappable) |
| Typical Power Draw (Peak Load) | ~1100W - 1350W |
| Cooling Strategy | High-Static-Pressure, Variable-Speed Fans (N+1 Redundancy) |
The Titanium-rated PSUs ensure maximum energy efficiency (96% efficiency at 50% load), reducing operational expenditure (OPEX) related to power consumption and cooling overhead.
2. Performance Characteristics
The Template:PageHeader configuration is engineered for predictable, high-throughput performance across mixed workloads. Its performance profile is characterized by high concurrency capabilities driven by the 112 physical cores and massive memory subsystem bandwidth.
2.1. Synthetic Benchmarks
Synthetic benchmarks help quantify the raw processing capability of the platform relative to its design goals.
2.1.1. Compute Performance (SPECrate 2017 Integer)
SPECrate measures the system's ability to execute multiple parallel tasks simultaneously, directly reflecting suitability for virtualization hosts and large-scale batch processing.
| Metric | Result | Comparison Baseline (Previous Gen) |
|---|---|---|
| SPECrate_2017_int_base | ~1500 | +45% Improvement |
| SPECrate_2017_int_peak | ~1750 | +50% Improvement |
These results demonstrate a significant generational leap, primarily due to the increased core count and the efficiency improvements of the platform's microarchitecture. See CPU Microarchitecture Analysis for details on IPC gains.
2.1.2. Memory Bandwidth and Latency
Memory performance is validated using tools like STREAM benchmarks.
| Metric | Result (GB/s) | Theoretical Maximum (Estimated) |
|---|---|---|
| Triad Bandwidth | ~780 GB/s | 850 GB/s |
| Latency (First Access) | ~85 ns | N/A |
The measured Triad bandwidth approaches 92% of the theoretical maximum, indicating excellent memory controller utilization and minimal contention across the UPI/Infinity Fabric links. Low latency is critical for transactional workloads, as elaborated in Latency vs. Throughput Trade-offs.
2.2. Workload Simulation Results
Real-world performance is assessed using industry-standard workload simulations targeting key enterprise applications.
2.2.1. Database Transaction Processing (OLTP)
Using a simulation modeled after TPC-C benchmarks, the system excels due to its fast I/O subsystem and high core count for managing concurrent connections.
- **Result:** Sustained 1.2 Million Transactions Per Minute (TPM) at 99% service level agreement (SLA).
- **Bottleneck Analysis:** At peak saturation (above 1.3M TPM), the bottleneck shifts from CPU compute cycles to the NVMe array's sustained write IOPS capability, highlighting the importance of the Storage Tiering Strategy.
2.2.2. Virtualization Density
When configured as a hypervisor host (e.g., running VMware ESXi or KVM), the system's performance is measured by the number of virtual machines (VMs) it can support while maintaining mandated minimum performance guarantees.
- **Configuration:** 100 VMs, each allocated 4 vCPUs and 8 GB RAM.
- **Performance:** 98% of VMs maintained <5ms response time under moderate load.
- **Key Factor:** The high core-to-thread ratio (1:2) allows for efficient oversubscription, though best practices still recommend careful vCPU allocation relative to physical cores, as discussed in CPU Oversubscription Management.
2.3. Thermal Throttling Behavior
Under sustained, 100% utilization across all 112 cores for periods exceeding 30 minutes, the system demonstrates robust thermal management.
- **Observation:** Clock speeds stabilize at an all-core frequency of 2.9 GHz (approximately 500 MHz below the single-core turbo boost).
- **Conclusion:** The 2000W Titanium PSUs provide ample headroom, and the chassis cooling solution prevents thermal throttling below the optimized sustained operating frequency, ensuring predictable long-term performance. This robustness is crucial for continuous integration/continuous deployment (CI/CD) pipelines.
3. Recommended Use Cases
The Template:PageHeader configuration is intentionally versatile, but its strengths are maximized in environments requiring high concurrency, substantial memory resources, and rapid data access.
3.1. Tier-0 and Tier-1 Database Hosting
This server is ideally suited for hosting critical relational databases (e.g., Oracle RAC, Microsoft SQL Server Enterprise) or high-throughput NoSQL stores (e.g., Cassandra, MongoDB).
- **Reasoning:** The combination of high core count (for query parallelism), 1TB of high-speed DDR5 RAM (for caching frequently accessed data structures), and ultra-fast PCIe Gen 5 NVMe storage (for transaction logs and rapid reads) minimizes I/O wait times, which is the primary performance limiter in database operations. Detailed guidelines for database configuration are available in Database Server Tuning Guides.
3.2. High-Density Virtualization and Cloud Infrastructure
As a foundational hypervisor host, this configuration supports hundreds of virtual machines or dozens of large container orchestration nodes (Kubernetes).
- **Benefit:** The 112 physical cores allow administrators to allocate resources efficiently while maintaining performance isolation between tenants or applications. The large memory capacity supports memory-intensive guest operating systems or large memory allocations necessary for in-memory data grids.
3.3. High-Performance Computing (HPC) Workloads
For specific HPC tasks that are moderately parallelized but extremely sensitive to memory latency (e.g., CFD simulations, specific Monte Carlo methods), this platform offers a strong balance.
- **Note:** While GPU acceleration is superior for highly parallelized matrix operations (e.g., deep learning), this configuration excels in CPU-bound parallel tasks where the memory subsystem bandwidth is the limiting factor. Integration with external Accelerated Computing Units is recommended for GPU-heavy tasks.
3.4. Enterprise Application Servers and Middleware
Hosting large Java Virtual Machine (JVM) application servers, Enterprise Service Buses (ESB), or large-scale caching layers (e.g., Redis clusters requiring significant heap space).
- The large L3 cache and high memory capacity ensure that application threads remain active within fast cache levels, reducing the need to constantly traverse the memory bus. This is critical for maintaining low response times for user-facing applications.
4. Comparison with Similar Configurations
To understand the value proposition of the Template:PageHeader, it is essential to compare it against two common alternatives: a legacy high-core count system (e.g., previous generation dual-socket) and a single-socket, higher-TDP configuration.
4.1. Comparison Matrix
| Feature | Template:PageHeader (Current) | Legacy Dual-Socket (Gen 3 Xeon) | Single-Socket High-Core (Current Gen) |
|---|---|---|---|
| Physical Cores (Total) | 112 Cores | 80 Cores | 96 Cores |
| Max RAM Capacity | 1 TB (DDR5) | 512 GB (DDR4) | 2 TB (DDR5) |
| PCIe Generation | Gen 5.0 | Gen 3.0 | Gen 5.0 |
| Power Efficiency (Perf/Watt) | High (New Microarchitecture) | Medium | Very High |
| Scalability Potential | Excellent (Two robust sockets) | Good | Limited (Single point of failure) |
| Cost Index (Relative) | 1.0x | 0.6x | 0.8x |
4.2. Analysis of Comparison Points
- 4.2.1. Versus Legacy Dual-Socket
The Template:PageHeader offers a substantial 40% increase in core count and a 100% increase in memory capacity, coupled with a 100% increase in PCIe bandwidth (Gen 5 vs. Gen 3). While the legacy system might have a lower initial acquisition cost, the performance uplift per watt and per rack unit (RU) makes the modern configuration significantly more cost-effective over a typical 5-year lifecycle. The legacy system is constrained by slower DDR4 memory speeds and lower I/O throughput, making it unsuitable for modern storage arrays.
- 4.2.2. Versus Single-Socket High-Core
The single-socket configuration (e.g., a high-end EPYC) offers superior memory capacity (up to 2TB) and potentially higher thread density on a single processor. However, the Template:PageHeader's dual-socket design provides critical redundancy and superior interconnectivity for tightly coupled applications.
- **Redundancy:** In a single-socket system, the failure of the CPU or its integrated memory controller (IMC) brings down the entire host. The dual-socket design allows for graceful degradation if one CPU subsystem fails, assuming appropriate OS/hypervisor configuration (though performance will be halved).
- **Interconnect:** While single-socket designs have improved internal fabric speeds, the dedicated UPI links between two discrete CPUs in the Template:PageHeader often provide lower latency communication for certain inter-process communication (IPC) patterns between the two processor dies than non-NUMA aware software running on a monolithic die structure. This is a key consideration for highly optimized HPC codebases that rely on NUMA Architecture Principles.
5. Maintenance Considerations
Proper maintenance is essential to ensure the long-term reliability and performance consistency of the Template:PageHeader configuration, particularly given its high component density and power draw.
5.1. Firmware and BIOS Management
The complexity of modern server platforms necessitates rigorous firmware control.
- **BIOS/UEFI:** Must be kept current to ensure optimal power state management (C-states/P-states) and to apply critical microcode updates addressing security vulnerabilities (e.g., Spectre/Meltdown variants). Regular auditing against the vendor's recommended baseline is mandatory.
- **BMC (Baseboard Management Controller):** The BMC firmware must be updated in tandem with the BIOS. The BMC handles remote management, power monitoring, and hardware event logging. Failure to update the BMC can lead to inaccurate thermal reporting or loss of remote control capabilities, violating Data Center Remote Access Protocols.
5.2. Cooling and Environmental Requirements
Due to the 250W TDP CPUs and the high-efficiency PSUs, the system generates significant localized heat.
- **Rack Density:** When deploying multiple Template:PageHeader units in a single rack, administrators must adhere strictly to the maximum permitted thermal output per rack (typically 10kW to 15kW for standard cold-aisle containment).
- **Airflow:** The 2U chassis relies on high-static-pressure fans pulling air from the front. Obstructions in the front bezel or inadequate cold aisle pressure will immediately trigger fan speed increases, leading to higher acoustic output and increased power draw without necessarily improving cooling efficiency. Server Airflow Management standards must be followed.
5.3. Power Redundancy and Capacity Planning
The dual 2000W Titanium PSUs require a robust power infrastructure.
- **A/B Feeds:** Both PSUs must be connected to independent A and B power feeds (A/B power distribution) to ensure resilience against circuit failure.
- **Capacity Calculation:** When calculating required power capacity for a deployment, system administrators must use the "Peak Power Draw" figure (~1350W) plus a 20% buffer for unanticipated turbo boosts or system initialization surges. Relying solely on the idle power draw estimate will lead to tripped breakers under load. Refer to Data Center Power Budgeting for detailed formulas.
5.4. NVMe Drive Lifecycle Management
The high-speed NVMe drives, especially those used for database transaction logs, will experience significant write wear.
- **Monitoring:** SMART data (specifically the "Media Wearout Indicator") must be monitored daily via the BMC interface or centralized monitoring tools.
- **Replacement Policy:** Drives should be proactively replaced when their remaining endurance drops below 15% of the factory specification, rather than waiting for a failure event. This prevents unplanned downtime associated with catastrophic drive failure, which can impose significant data recovery overhead, as detailed in Data Recovery Procedures. The use of ZFS or similar robust file systems is recommended to mitigate single-drive failures, as discussed in Advanced Filesystem Topologies.
5.5. Operating System Tuning (NUMA Awareness)
Because this is a dual-socket NUMA system, the operating system scheduler and application processes must be aware of the Non-Uniform Memory Access (NUMA) topology to achieve peak performance.
- **Binding:** Critical applications (like large database instances) should be explicitly bound to the CPU cores and memory pools belonging to a single socket whenever possible. If the application must span both sockets, ensure it is configured to minimize cross-socket memory access, which incurs significant latency penalties (up to 3x slower than local access). For more information on optimizing application placement, consult NUMA Application Affinity.
The overall maintenance profile of the Template:PageHeader balances advanced technology integration with standardized enterprise serviceability, ensuring a high Mean Time Between Failures (MTBF) when managed according to these guidelines.
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.* ⚠️
This document details the hardware specifications, performance characteristics, recommended use cases, comparisons, and maintenance considerations for our standard Cloud Computing Services server configuration. This configuration is designed for a broad range of cloud workloads, prioritizing a balance of compute, memory, and storage performance. This document is intended for internal use by System Administrators, DevOps Engineers, and Support Staff.
1. Hardware Specifications
This configuration represents a standardized platform utilized across multiple availability zones. Minor variations may occur due to component sourcing, but the core specifications remain consistent.
| Component | Specification | Details | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CPU | 2 x 3rd Gen Intel Xeon Scalable Processor (Ice Lake) | Model: Intel Xeon Gold 6338 (32 Cores/64 Threads per CPU) | Base Clock: 2.0 GHz | Max Turbo Frequency: 3.4 GHz | L3 Cache: 48 MB per CPU | TDP: 205W | ||||||||
| Motherboard | Supermicro X12DPG-QT6 | Chipset: Intel C621A | Form Factor: ATX | Supports up to 4TB DDR4 ECC Registered Memory | PCIe 4.0 Support | |||||||||
| RAM | 512 GB DDR4-3200 ECC Registered DIMMs | Configuration: 16 x 32GB DIMMs | Rank: Dual Rank | Speed: 3200 MHz | Error Correction Code (ECC): Yes | Buffered/Registered: Registered | ||||||||
| Storage - Primary (OS) | 480 GB NVMe PCIe Gen4 SSD | Model: Samsung PM9A8 | Interface: PCIe 4.0 x4 | Read Speed (Sequential): Up to 7000 MB/s | Write Speed (Sequential): Up to 5500 MB/s | - | Storage - Secondary (Data) | 7.68 TB U.2 NVMe PCIe Gen4 SSD (RAID 10) | Model: Micron 9300 Pro | Interface: PCIe 4.0 x4 | Read Speed (Sequential): Up to 7000 MB/s | Write Speed (Sequential): Up to 6500 MB/s | RAID Controller: Broadcom MegaRAID SAS 9361-8i | RAID Level: RAID 10 (Mirrored & Striped) |
| Network Interface Card (NIC) | 2 x 100 Gigabit Ethernet (100GbE) | Controller: Mellanox ConnectX-6 Dx | Connectivity: QSFP28 | Offload Engines: RoCEv2, iWARP, VXLAN | ||||||||||
| Power Supply Unit (PSU) | 2 x 1600W Redundant 80+ Platinum | Efficiency: 94% at 50% Load | Form Factor: ATX | Hot-Swappable: Yes | ||||||||||
| Cooling | Redundant Hot-Swappable Fans | System: Multiple high-speed fans with RPM control | CPU: Dedicated CPU Heatsinks with heat pipes | Chassis: Optimized airflow design for efficient heat dissipation | ||||||||||
| Chassis | 2U Rackmount Server Chassis | Form Factor: 2U | Material: Steel | Drive Bays: 8 x 2.5" Hot-Swap | Expansion Slots: Multiple PCIe 4.0 slots | |||||||||
| Baseboard Management Controller (BMC) | IPMI 2.0 Compliant | Remote Management: Web-based GUI, CLI, Serial Console | Network Connectivity: Dedicated Gigabit Ethernet port | Out-of-Band Management: Yes |
Further details on specific components can be found on their respective pages:
- [Intel Xeon Scalable Processors](Intel_Xeon_Scalable_Processors)
- [DDR4 Memory Technology](DDR4_Memory_Technology)
- [NVMe SSD Technology](NVMe_SSD_Technology)
- [RAID Configuration Guide](RAID_Configuration_Guide)
- [100GbE Networking](100GbE_Networking)
- [Power Supply Redundancy](Power_Supply_Redundancy)
- [IPMI and BMC](IPMI_and_BMC)
2. Performance Characteristics
This configuration is designed to deliver consistent, high-performance for a variety of cloud workloads. The following benchmarks represent typical performance under controlled conditions. Real-world performance will vary depending on the specific application, data set, and concurrent user load. All benchmarks were conducted in a controlled environment with consistent ambient temperature and power conditions.
- **CPU Performance (SPECint 2017):** Approximately 280 (Higher is better). This score reflects the integer processing capabilities of the dual Xeon processors. See [SPEC CPU Benchmarking](SPEC_CPU_Benchmarking) for details on the SPECint 2017 benchmark.
- **CPU Performance (SPECfp 2017):** Approximately 220 (Higher is better). This score reflects the floating-point processing capabilities.
- **Storage Performance (IOMeter):**
* **Sequential Read (RAID 10):** Up to 35,000 IOPS, 6.8 GB/s * **Sequential Write (RAID 10):** Up to 28,000 IOPS, 5.2 GB/s * **Random Read (4KB, RAID 10):** Up to 500,000 IOPS * **Random Write (4KB, RAID 10):** Up to 300,000 IOPS
- **Network Performance:**
* **Throughput (100GbE):** Up to 90 Gbps (bidirectional) * **Latency (100GbE):** <100 microseconds (measured between servers in the same availability zone)
- Real-World Performance Examples:**
- **Web Application Server (LAMP Stack):** Capable of handling approximately 10,000 concurrent users with average response times under 200ms. (Benchmarked with Apache, PHP, and a 5GB database).
- **Database Server (PostgreSQL):** Sustained performance of 20,000 transactions per second (TPS) with a 100GB database. See [Database Optimization Techniques](Database_Optimization_Techniques) for tuning guidance.
- **Virtual Machine Host (KVM):** Can reliably host up to 50 virtual machines, each with 4 vCPUs, 16GB RAM, and 100GB storage, while maintaining acceptable performance levels. See [Virtualization Best Practices](Virtualization_Best_Practices).
- **Container Orchestration (Kubernetes):** Handles up to 200 containers with minimal overhead, providing a stable platform for microservices deployments. See [Kubernetes Deployment Guide](Kubernetes_Deployment_Guide).
3. Recommended Use Cases
This configuration is ideally suited for the following cloud computing applications:
- **High-Performance Computing (HPC):** Suitable for workloads requiring significant computational power, such as scientific simulations, financial modeling, and data analytics.
- **Virtualization:** Excellent platform for hosting virtual machines, providing a flexible and scalable infrastructure.
- **Containerization:** Well-suited for deploying and managing containerized applications using Docker and Kubernetes.
- **Database Servers:** Capable of handling demanding database workloads, supporting both relational and NoSQL databases.
- **Web Application Servers:** Provides the performance and scalability required for hosting high-traffic web applications.
- **Big Data Analytics:** Can support data processing and analysis tasks using frameworks like Hadoop and Spark.
- **Machine Learning:** Suitable for training and deploying machine learning models, especially those requiring significant CPU and memory resources.
- **Video Encoding/Transcoding:** Process and deliver video content efficiently.
4. Comparison with Similar Configurations
The following table compares this configuration to two other common cloud server configurations.
| Feature | Standard Cloud Configuration (This Document) | Entry-Level Cloud Configuration | High-Memory Cloud Configuration |
|---|---|---|---|
| CPU | 2 x Intel Xeon Gold 6338 (32C/64T) | 2 x Intel Xeon Silver 4310 (12C/24T) | 2 x Intel Xeon Platinum 8380 (40C/80T) |
| RAM | 512 GB DDR4-3200 | 128 GB DDR4-2666 | 1 TB DDR4-3200 |
| Storage (Primary) | 480 GB NVMe PCIe Gen4 | 240 GB NVMe PCIe Gen3 | 480 GB NVMe PCIe Gen4 |
| Storage (Secondary) | 7.68 TB U.2 NVMe PCIe Gen4 (RAID 10) | 3.84 TB U.2 NVMe PCIe Gen3 (RAID 1) | 15.36 TB U.2 NVMe PCIe Gen4 (RAID 10) |
| Network | 2 x 100GbE | 2 x 10GbE | 2 x 100GbE |
| Approximate Monthly Cost | $2,500 - $3,500 | $1,000 - $1,500 | $4,000 - $6,000 |
| Ideal Use Cases | Wide range of demanding workloads, including HPC, virtualization, databases, and web applications. | Small to medium-sized web applications, development/testing environments, and basic database servers. | Memory-intensive applications, such as in-memory databases, large-scale data analytics, and high-performance computing. |
The **Entry-Level Cloud Configuration** offers a more affordable option for less demanding workloads. However, it sacrifices performance and scalability. The **High-Memory Cloud Configuration** provides significantly more RAM, making it ideal for applications that require large amounts of memory. Choosing the right configuration depends on the specific requirements of the application. See [Cloud Service Tier Selection](Cloud_Service_Tier_Selection) for detailed guidance.
5. Maintenance Considerations
Maintaining optimal performance and reliability requires careful attention to several key areas.
- **Cooling:** The server generates significant heat, particularly under heavy load. Ensure adequate airflow within the data center. Maintain a consistent ambient temperature between 20-24°C (68-75°F). Regularly check and clean fan filters to prevent dust accumulation. Monitor CPU and component temperatures using the IPMI interface. See [Data Center Cooling Best Practices](Data_Center_Cooling_Best_Practices).
- **Power Requirements:** The server requires a minimum of 3000W of power to operate reliably, accounting for redundancy. Ensure the power distribution units (PDUs) have sufficient capacity. Utilize redundant power feeds to minimize downtime in the event of a power failure.
- **Storage Monitoring:** Regularly monitor the health of the SSDs using SMART data. Replace drives proactively to prevent data loss. Verify RAID array integrity. Implement a robust backup and disaster recovery plan.
- **Network Monitoring:** Monitor network performance and identify potential bottlenecks. Ensure that the 100GbE connections are properly configured and optimized.
- **Software Updates:** Keep the operating system, firmware, and drivers up to date to address security vulnerabilities and improve performance. Follow a documented change management process.
- **Physical Security:** Ensure the server is housed in a secure data center with restricted access.
- **Regular Inspections:** Conduct routine physical inspections of the server and its components to identify potential issues.
- **Log Analysis:** Regularly review system logs for errors or warnings that may indicate underlying problems. See [Server Log Management](Server_Log_Management).
- **Remote Management:** Utilize the IPMI interface for remote monitoring, control, and troubleshooting.
- **Firmware Updates:** Regularly update the firmware on all components (BIOS, RAID controller, NICs) to ensure optimal performance and compatibility. See [Firmware Update Procedures](Firmware_Update_Procedures).
- Troubleshooting Resources:**
- [Hardware Troubleshooting Guide](Hardware_Troubleshooting_Guide)
- [Common Server Errors](Common_Server_Errors)
- [Support Contact Information](Support_Contact_Information)
```
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.* ⚠️