Cloud Databases
This is a highly detailed technical documentation article for a hypothetical, high-density, dual-socket server configuration, designated **"Template:Title"**.
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- Template:Title: High-Density Compute Node Technical Deep Dive
- Author:** Senior Server Hardware Engineering Team
- Version:** 1.1
- Date:** 2024-10-27
This document provides a comprehensive technical overview of the **Template:Title** server configuration. This platform is engineered for environments requiring extreme processing density, high memory bandwidth, and robust I/O capabilities, targeting mission-critical virtualization and high-performance computing (HPC) workloads.
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- 1. Hardware Specifications
The **Template:Title** configuration is built upon a 2U rack-mountable chassis, optimized for thermal efficiency and maximum component density. It leverages the latest generation of server-grade silicon to deliver industry-leading performance per watt.
- 1.1 System Board and Chassis
The core of the system is a proprietary dual-socket motherboard supporting the latest '[Platform Codename X]' chipset.
Feature | Specification |
---|---|
Form Factor | 2U Rackmount |
Chassis Model | Server Chassis Model D-9000 (High Airflow Variant) |
Motherboard | Dual-Socket (LGA 5xxx Socket) |
BIOS/UEFI Firmware | Version 3.2.1 (Supports Secure Boot and IPMI 2.0) |
Management Controller | Integrated Baseboard Management Controller (BMC) with dedicated 1GbE port |
- 1.2 Central Processing Units (CPUs)
The **Template:Title** is configured for dual-socket operation, utilizing processors specifically selected for their high core count and substantial L3 cache structures, crucial for database and virtualization duties.
Component | Specification Detail |
---|---|
CPU Model (Primary/Secondary) | 2 x Intel Xeon Scalable Processor [Model Z-9490] (e.g., 64 Cores, 128 Threads each) |
Total Cores/Threads | 128 Cores / 256 Threads (Max Configuration) |
Base Clock Frequency | 2.8 GHz |
Max Turbo Frequency (Single Core) | Up to 4.5 GHz |
L3 Cache (Total) | 2 x 128 MB (256 MB Aggregate) |
TDP (Per CPU) | 350W (Thermal Design Power) |
Supported Memory Channels | 8 Channels per socket (16 total) |
For further context on processor architectures, refer to the Processor Architecture Comparison.
- 1.3 Memory Subsystem (RAM)
Memory capacity and bandwidth are critical for this configuration. The system supports high-density Registered DIMMs (RDIMMs) across 32 DIMM slots (16 per CPU).
Parameter | Configuration Detail |
---|---|
Total DIMM Slots | 32 (16 per socket) |
Memory Type Supported | DDR5 ECC RDIMM |
Maximum Capacity | 8 TB (Using 32 x 256GB DIMMs) |
Tested Configuration (Default) | 2 TB (32 x 64GB DDR5-5600 ECC RDIMM) |
Memory Speed (Max Supported) | DDR5-6400 MT/s (Dependent on population density) |
Memory Controller Type | Integrated into CPU (IMC) |
Understanding memory topology is vital for optimal performance; see NUMA Node Configuration Best Practices.
- 1.4 Storage Configuration
The **Template:Title** emphasizes high-speed NVMe storage, utilizing U.2 and M.2 form factors for primary boot and high-IOPS workloads, while offering flexibility for bulk storage via SAS/SATA drives.
- 1.4.1 Primary Storage (NVMe/Boot)
Boot and OS drives are typically provisioned on high-endurance M.2 NVMe drives managed by the chipset's PCIe lanes.
| Storage Bay Type | Quantity | Interface | Capacity (Per Unit) | Purpose | | :--- | :--- | :--- | :--- | :--- | | M.2 NVMe (Internal) | 2 | PCIe Gen 5 x4 | 3.84 TB (Enterprise Grade) | OS Boot/Hypervisor |
- 1.4.2 Secondary Storage (Data/Scratch Space)
The chassis supports hot-swappable drive bays, configured primarily for high-throughput storage arrays.
Bay Type | Quantity | Interface | Configuration Notes |
---|---|---|---|
Front Accessible Bays (Hot-Swap) | 12 x 2.5" Drive Bays | SAS4 / NVMe (via dedicated backplane) | Supports RAID configurations via dedicated hardware RAID controller (e.g., Broadcom MegaRAID 9750-16i). |
The storage subsystem relies heavily on PCIe lane allocation. Consult PCIe Lane Allocation Standards for full topology mapping.
- 1.5 Networking and I/O Expansion
I/O density is achieved through multiple OCP 3.0 mezzanine slots and standard PCIe expansion slots.
Slot Type | Quantity | Interface / Bus | Configuration |
---|---|---|---|
OCP 3.0 Mezzanine Slot | 2 | PCIe Gen 5 x16 | Reserved for dual-port 100GbE or 200GbE adapters. |
Standard PCIe Slots (Full Height) | 4 | PCIe Gen 5 x16 (x16 electrical) | Used for specialized accelerators (GPUs, FPGAs) or high-speed Fibre Channel HBAs. |
Onboard LAN (LOM) | 2 | 1GbE Baseboard Management Network |
The utilization of PCIe Gen 5 significantly reduces latency compared to previous generations, detailed in PCIe Generation Comparison.
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- 2. Performance Characteristics
Benchmarking the **Template:Title** reveals its strength in highly parallelized workloads. The combination of high core count (128) and massive memory bandwidth (16 channels DDR5) allows it to excel where data movement bottlenecks are common.
- 2.1 Synthetic Benchmarks
The following results are derived from standardized testing environments using optimized compilers and operating systems (Red Hat Enterprise Linux 9.x).
- 2.1.1 SPECrate 2017 Integer Benchmark
This benchmark measures throughput for parallel integer-based applications, representative of large-scale virtualization and transactional processing.
Metric | Template:Title Result | Previous Generation (2U Dual-Socket) Comparison |
---|---|---|
SPECrate 2017 Integer Score | 1150 (Estimated) | +45% Improvement |
Latency (Average) | 1.2 ms | -15% Reduction |
- 2.1.2 Memory Bandwidth Testing
Measured using STREAM benchmark tools configured to saturate all 16 memory channels simultaneously.
Operation | Bandwidth Achieved | Theoretical Max (DDR5-5600) |
---|---|---|
Triad Bandwidth | 850 GB/s | ~920 GB/s |
Copy Bandwidth | 910 GB/s | ~1.1 TB/s |
- Note: Minor deviation from theoretical maximum is expected due to IMC overhead and memory controller contention across 32 populated DIMMs.*
- 2.2 Real-World Application Performance
Performance metrics are more relevant when contextualized against common enterprise workloads.
- 2.2.1 Virtualization Density (VMware vSphere 8.0)
Testing involved deploying standard Linux-based Virtual Machines (VMs) with standardized vCPU allocations.
| Workload Metric | Configuration A (Template:Title) | Configuration B (Standard 2U, Lower Core Count) | Improvement Factor | :--- | :--- | :--- | :--- | Maximum Stable VMs (per host) | 320 VMs (8 vCPU each) | 256 VMs (8 vCPU each) | 1.25x | Average VM Response Time (ms) | 4.8 ms | 5.9 ms | 1.23x | CPU Ready Time (%) | < 1.5% | < 2.2% | Improved efficiency
The high core density minimizes the reliance on CPU oversubscription, leading to lower CPU Ready times, a critical metric in virtualization performance. See VMware Performance Tuning for optimization guidance.
- 2.2.2 Database Transaction Processing (OLTP)
Using TPC-C simulation, the platform demonstrates superior throughput due to its large L3 cache, which reduces the need for frequent main memory access.
- **TPC-C Throughput (tpmC):** 1,850,000 tpmC (at 128-user load)
- **I/O Latency (99th Percentile):** 0.8 ms (Storage subsystem dependent)
This performance profile is heavily influenced by the NVMe subsystem's ability to keep up with high transaction rates.
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- 3. Recommended Use Cases
The **Template:Title** is not a general-purpose server; its specialized density and high-speed interconnects dictate specific optimal applications.
- 3.1 Mission-Critical Virtualization Hosts
Due to its 128-thread capacity and 8TB RAM ceiling, this configuration is ideal for hosting dense, monolithic virtual machine clusters, particularly those running VDI or large-scale application servers where memory allocation per VM is significant.
- **Key Benefit:** Maximizes VM density per rack unit (U), reducing data center footprint costs.
- 3.2 High-Performance Computing (HPC) Workloads
For scientific simulations (e.g., computational fluid dynamics, weather modeling) that are memory-bandwidth sensitive and require significant floating-point operations, the **Template:Title** excels. The 16-channel memory architecture directly addresses bandwidth starvation common in HPC kernels.
- **Requirement:** Optimal performance is achieved when utilizing specialized accelerator cards (e.g., NVIDIA H100 Tensor Core GPU) installed in the PCIe Gen 5 slots.
- 3.3 Large-Scale Database Servers (In-Memory Databases)
Systems running SAP HANA, Oracle TimesTen, or other in-memory databases benefit immensely from the high RAM capacity (up to 8TB). The low-latency access provided by the integrated memory controller ensures rapid query execution.
- **Consideration:** Proper NUMA balancing is paramount. Configuration must ensure database processes align with local memory controllers. See NUMA Architecture.
- 3.4 AI/ML Training and Inference Clusters
While primarily CPU-centric, this server acts as an excellent host for multiple high-end accelerators. Its powerful CPU complex ensures the data pipeline feeding the GPUs remains saturated, preventing GPU underutilization—a common bottleneck in less powerful host systems.
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- 4. Comparison with Similar Configurations
To properly assess the value proposition of the **Template:Title**, it must be benchmarked against two common alternatives: a higher-density, single-socket configuration (optimized for power efficiency) and a traditional 4-socket configuration (optimized for maximum I/O branching).
- 4.1 Configuration Matrix
| Feature | Template:Title (2U Dual-Socket) | Configuration X (1U Single-Socket) | Configuration Y (4U Quad-Socket) | | :--- | :--- | :--- | :--- | | Socket Count | 2 | 1 | 4 | | Max Cores | 128 | 64 | 256 | | Max RAM | 8 TB | 4 TB | 16 TB | | PCIe Lanes (Total) | 128 (Gen 5) | 80 (Gen 5) | 224 (Gen 5) | | Rack Density (U) | 2U | 1U | 4U | | Memory Channels | 16 | 8 | 32 | | Power Draw (Peak) | ~1600W | ~1100W | ~2500W | | Ideal Role | Balanced Compute/Memory Density | Power-Constrained Workloads | Maximum I/O and Core Count |
- 4.2 Performance Trade-offs Analysis
The **Template:Title** strikes a deliberate balance. Configuration X offers better power efficiency per server unit, but the **Template:Title** delivers 2x the total processing capability in only 2U of space, resulting in superior compute density (cores/U).
Configuration Y offers higher scalability in terms of raw core count and I/O capacity but requires significantly more power (30% higher peak draw) and occupies twice the physical rack space (4U vs 2U). For most mainstream enterprise virtualization, the 2:1 density advantage of the **Template:Title** outweighs the need for the 4-socket architecture's maximum I/O branching.
The most critical differentiator is memory bandwidth. The 16 memory channels in the **Template:Title** provide superior sustained performance for memory-bound tasks compared to the 8 channels in Configuration X. See Memory Bandwidth Utilization.
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- 5. Maintenance Considerations
Deploying high-density servers like the **Template:Title** requires stringent attention to power delivery, cooling infrastructure, and serviceability procedures to ensure maximum uptime and component longevity.
- 5.1 Power Requirements and Redundancy
Due to the high TDP components (350W CPUs, high-speed NVMe drives), the power budget must be carefully managed at the rack PDU level.
Component Group | Estimated Peak Wattage (Configured) | Required PSU Rating |
---|---|---|
Dual CPU (2 x 350W TDP) | ~1400W (Under full synthetic load) | 2 x 2000W (1+1 Redundant configuration) |
RAM (8TB Load) | ~350W | Required for PSU calculation |
Storage (12x NVMe/SAS) | ~150W | Total System Peak: ~1900W |
It is mandatory to deploy this system in racks fed by **48V DC power** or **high-amperage AC circuits** (e.g., 30A/208V circuits) to avoid tripping breakers during peak load events. Refer to Data Center Power Planning.
- 5.2 Thermal Management and Airflow
The 2U chassis design relies heavily on high static pressure fans to push air across the dense CPU heat sinks and across the NVMe backplane.
- **Minimum Required Airflow:** 180 CFM at 35°C ambient inlet temperature.
- **Recommended Inlet Temperature:** Below 25°C for sustained peak loading.
- **Fan Configuration:** N+1 Redundant Hot-Swappable Fan Modules (8 total modules).
Improper airflow management, such as mixing this high-airflow unit with low-airflow storage arrays in the same rack section, will lead to thermal throttling of the CPUs, severely impacting performance metrics detailed in Section 2. Consult Server Cooling Standards for rack layout recommendations.
- 5.3 Serviceability and Component Access
The **Template:Title** utilizes a top-cover removal mechanism that provides full access to the DIMM slots and CPU sockets without unmounting the chassis from the rack (if sufficient front/rear clearance is maintained).
- 5.3.1 Component Replacement Procedures
| Component | Replacement Procedure Notes | Required Downtime | | :--- | :--- | :--- | | DIMM Module | Hot-plug supported only for specific low-power DIMMs; cold-swap recommended for large capacity changes. | Minimal (If replacing non-boot path DIMM) | | CPU/Heatsink | Requires chassis removal from rack for proper torque application and thermal paste management. | Full Downtime | | Fan Module | Hot-Swappable (N+1 redundancy ensures operation during replacement). | Zero | | RAID Controller | Accessible via rear access panel; hot-swap dependent on controller model. | Minimal |
All maintenance procedures must adhere strictly to the Vendor Maintenance Protocol. Failure to follow torque specifications on CPU retention mechanisms can lead to socket damage or poor thermal contact.
- 5.4 Firmware Management
Maintaining the synchronization of the BMC, BIOS/UEFI, and RAID controller firmware is critical for stability, especially when leveraging advanced features like PCIe Gen 5 bifurcation or memory mapping. Automated firmware deployment via the BMC is the preferred method for large deployments. See BMC Remote Management.
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- Conclusion
The **Template:Title** configuration represents a significant leap in 2U server density, specifically tailored for memory-intensive and highly parallelized computations. Its robust specifications—128 cores, 8TB RAM capacity, and extensive PCIe Gen 5 I/O—position it as a premium solution for modern enterprise data centers where maximizing compute density without sacrificing critical bandwidth is the primary objective. Careful planning regarding power delivery and cooling infrastructure is mandatory for realizing its full performance potential.
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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.* ⚠️
Overview
This document details the hardware configuration designated as "Cloud Databases," designed to optimally host and serve various database workloads in a cloud environment. This configuration prioritizes I/O performance, memory capacity, and reliability to meet the demanding requirements of modern database applications. This document covers hardware specifications, performance characteristics, recommended use cases, comparative analysis, and essential maintenance considerations. This configuration is intended for deployment within a datacenter environment with appropriate power, cooling, and network infrastructure.
1. Hardware Specifications
The Cloud Databases configuration is built around a dual-socket server platform. The key components are outlined below. All specifications reflect current industry standards as of October 26, 2023. Component selections are focused on maximizing throughput and minimizing latency for database operations.
Component | Specification | Details |
---|---|---|
CPU | Dual Intel Xeon Platinum 8480+ | 56 cores/112 threads per CPU, 3.2 GHz base frequency, 3.8 GHz Turbo Boost Max Technology 3.0, 105MB L3 Cache, TDP 350W. Supports AVX-512 instruction set. See CPU Architecture for more details. |
Motherboard | Supermicro X13DEI-N6 | Dual Socket LGA 4677, Supports DDR5 ECC Registered DIMMs, 8 x PCIe 5.0 x16 slots, 2 x 10GbE LAN ports, IPMI 2.0 remote management. Refer to Server Motherboard Selection for compatibility considerations. |
RAM | 2TB DDR5 ECC Registered | 16 x 128GB DDR5-5600 ECC Registered DIMMs. Configured in a multi-channel configuration for optimal bandwidth. See Memory Technologies for a deeper dive into DDR5. |
Storage - OS/Boot | 2 x 960GB NVMe PCIe Gen4 SSD | Mirrored configuration for redundancy and fast boot times. Utilizes Toshiba Kioxia CM6 series SSDs. See SSD Technology for details. |
Storage - Data Tier 1 (Hot) | 8 x 4TB NVMe PCIe Gen4 SSD | RAID 10 configuration for performance and redundancy. Utilizes Samsung PM1735 series SSDs. These drives provide consistently low latency for frequently accessed data. See RAID Configuration for redundancy options. |
Storage - Data Tier 2 (Warm) | 16 x 16TB SAS 12Gbps 7.2K RPM HDD | RAID 6 configuration for capacity and data protection. Utilizes Seagate Exos X16 series HDDs. Provides cost-effective storage for less frequently accessed data. See HDD Technology for details. |
Network Interface Card (NIC) | Dual 100GbE QSFP28 Mellanox ConnectX-7 | Provides high-bandwidth connectivity to the network infrastructure. Supports RDMA over Converged Ethernet (RoCEv2) for low-latency communication. See Network Technologies for more information. |
Power Supply Unit (PSU) | 2 x 1600W 80+ Platinum | Redundant power supplies for high availability. Supports N+1 redundancy. See Power Supply Units for details. |
Chassis | Supermicro 4U Rackmount Chassis | Provides ample space for components and efficient cooling. Supports hot-swap drive bays. See Server Chassis Options for different form factors. |
RAID Controller | Broadcom MegaRAID SAS 9460-8i | Hardware RAID controller supporting RAID levels 0, 1, 5, 6, 10, and more. Provides hardware acceleration for RAID operations. See RAID Controller Technology for a detailed explanation. |
2. Performance Characteristics
The Cloud Databases configuration is designed for high performance and scalability. Performance benchmarks were conducted using industry-standard tools and simulated workloads. All testing was performed in a controlled datacenter environment with consistent temperature and power conditions.
- Database Benchmark - TPC-C: The TPC-C benchmark, simulating a complex order-entry environment, yielded an average of 2,850,000 Transactions Per Minute (TPM-C) with a scale factor of 100. This performance is achieved with optimized database parameters and a dedicated network connection. See Database Benchmarking for more details on TPC-C and other benchmarks.
- I/O Performance - FIO: Using the FIO benchmark tool, the NVMe RAID 10 array achieved an average read IOPS of 1,200,000 and write IOPS of 900,000 with a block size of 4KB. The SAS RAID 6 array achieved read IOPS of 250,000 and write IOPS of 180,000 with the same block size. See Storage Performance Metrics for a detailed explanation of IOPS and other metrics.
- Network Throughput: The dual 100GbE NICs achieved a sustained throughput of 190 Gbps in both directions, demonstrating the network's capacity to handle high volumes of data transfer. See Network Bandwidth Measurement for testing methodologies.
- CPU Utilization: Under sustained TPC-C load, average CPU utilization across both CPUs was 75-85%, indicating sufficient processing power for the workload. Monitoring tools like System Monitoring Tools were used to track CPU utilization.
- Real-World Performance - PostgreSQL 15: Running a representative PostgreSQL 15 database with a 500GB dataset, query response times averaged 5ms for simple SELECT queries and 20ms for complex JOIN operations. These results demonstrate excellent performance for typical database workloads.
These benchmark results demonstrate the Cloud Databases configuration's ability to handle demanding database workloads with high throughput, low latency, and excellent scalability.
3. Recommended Use Cases
This configuration is ideal for a wide range of database applications, including:
- Online Transaction Processing (OLTP) Systems: The high IOPS and low latency of the NVMe storage make it well-suited for handling a large number of concurrent transactions. Examples include e-commerce platforms, financial trading systems, and online banking applications.
- Data Warehousing: The large storage capacity and RAID configurations provide ample space for storing and analyzing large datasets. The configuration supports both traditional data warehousing and modern data lake architectures. See Data Warehouse Architecture for more information.
- In-Memory Databases: The large RAM capacity allows for caching frequently accessed data in memory, significantly improving performance. This is particularly beneficial for applications that require real-time data access.
- NoSQL Databases: The configuration can effectively host a variety of NoSQL databases, such as MongoDB, Cassandra, and Redis. The high I/O performance is crucial for these types of databases, which often rely on fast storage access. See NoSQL Database Types for details.
- Virtual Database Environments: The powerful hardware resources can be virtualized to host multiple database instances, optimizing resource utilization and reducing costs. See Virtualization Technologies for how to implement this.
- Cloud-Native Database Services: Providing the backend infrastructure for managed database services like PostgreSQL as a Service or MySQL as a Service.
4. Comparison with Similar Configurations
The Cloud Databases configuration is positioned as a high-performance solution. Here’s a comparison with similar options:
Configuration | CPU | RAM | Storage (Tier 1) | Storage (Tier 2) | Network | Approximate Cost |
---|---|---|---|---|---|---|
Cloud Databases (This Configuration) | Dual Intel Xeon Platinum 8480+ | 2TB DDR5 | 8 x 4TB NVMe PCIe Gen4 | 16 x 16TB SAS 12Gbps | Dual 100GbE | $75,000 - $90,000 |
High-Performance SSD Only | Dual Intel Xeon Gold 6348 | 1TB DDR4 | 16 x 4TB NVMe PCIe Gen4 | None | Dual 25GbE | $60,000 - $75,000 |
Balanced Configuration | Dual Intel Xeon Gold 6338 | 512GB DDR4 | 4 x 2TB NVMe PCIe Gen4 | 8 x 12TB SAS 12Gbps | Dual 10GbE | $45,000 - $60,000 |
Entry-Level Database Server | Dual Intel Xeon Silver 4310 | 256GB DDR4 | 2 x 1TB NVMe PCIe Gen3 | 4 x 8TB SATA 7.2K RPM | Dual 1GbE | $25,000 - $35,000 |
- High-Performance SSD Only: This configuration prioritizes speed by using only NVMe SSDs. While offering excellent performance, it lacks the cost-effectiveness of a tiered storage approach and may not be suitable for storing large volumes of infrequently accessed data.
- Balanced Configuration: This configuration offers a good balance between performance, capacity, and cost. It is suitable for a wider range of database workloads but may not meet the performance requirements of the most demanding applications.
- Entry-Level Database Server: This configuration is the most affordable option but offers limited performance and capacity. It is suitable for small databases or development/testing environments. See Server Tiering for a deeper understanding of configuration options.
The Cloud Databases configuration strikes a balance between performance, capacity, and cost, making it a versatile solution for a wide range of database applications.
5. Maintenance Considerations
Maintaining the Cloud Databases configuration requires careful planning and execution. Here are some key considerations:
- Cooling: The high-density components generate significant heat. Adequate cooling is essential to prevent overheating and ensure system stability. Consider using a closed-loop cooling system or a high-airflow rack enclosure. See Datacenter Cooling Systems for more information.
- Power Requirements: The dual power supplies require a substantial power feed. Ensure that the datacenter infrastructure can provide sufficient power capacity. A minimum of 30 amps per rack is recommended. See Datacenter Power Infrastructure for details.
- Storage Management: Regularly monitor the health and performance of the storage arrays. Implement a robust backup and recovery strategy to protect against data loss. Utilize storage management software to automate tasks such as RAID rebuilds and capacity planning. See Storage Management Best Practices.
- Firmware Updates: Keep the firmware of all components (CPU, motherboard, RAID controller, NIC, SSDs, HDDs) up to date to benefit from bug fixes, performance improvements, and security patches. See Firmware Update Procedures.
- Network Monitoring: Monitor network traffic and performance to identify and resolve potential bottlenecks. Utilize network monitoring tools to track latency, packet loss, and bandwidth utilization. See Network Monitoring Tools and Techniques.
- Regular Hardware Checks: Periodically inspect the server hardware for any signs of physical damage or wear and tear. Replace components as needed to prevent failures. See Preventative Server Maintenance.
- Remote Management: Utilize the IPMI 2.0 interface for remote management of the server, allowing for remote power control, KVM access, and monitoring. See IPMI Remote Management.
- Log Analysis: Regularly review system logs to identify and address potential issues before they escalate. Utilize log analysis tools to automate the process of identifying and correlating events. See Server Log Analysis.
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
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⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️