ServerRental.store
Technical Deep Dive: The ServerRental.store Reference Configuration
This document provides a comprehensive technical analysis of the reference server configuration marketed under the identifier **ServerRental.store**. This hardware stack is engineered for high-density, versatile workloads, balancing raw computational power with robust I/O capabilities, making it a staple in modern colocation and cloud infrastructure environments.
1. Hardware Specifications
The ServerRental.store configuration represents a 2U rackmount platform utilizing the latest generation of high-core-count processors integrated with high-speed memory channels and NVMe storage arrays. The primary goal of this design is maximizing performance per watt within standard datacenter footprints.
1.1 System Board and Chassis
The foundation of this configuration is a dual-socket motherboard designed for maximum PCIe lane utilization and thermal dissipation.
| Component | Specification Detail |
|---|---|
| Form Factor | 2U Rackmount (Optimized for 800mm depth) |
| Motherboard Chipset | Dual Socket Intel C741 (or AMD SP5 equivalent, specific SKU dependent) |
| BIOS/UEFI | AMI Aptio V, supporting dual-boot modes (Legacy/UEFI), remote management via BMC. |
| Expansion Slots (Total) | 8x PCIe 5.0 x16 (6 accessible via risers) |
| Power Supply Units (PSUs) | 2x Redundant 2000W Titanium Level (94%+ efficiency @ 50% load) |
| Cooling | High-Static Pressure, Variable Speed Fans (N+1 configuration) |
1.2 Central Processing Units (CPUs)
The configuration defaults to dual-socket deployment, leveraging processors optimized for high thread density and large L3 cache structures crucial for database and virtualization workloads.
| Feature | Specification |
|---|---|
| CPU Model (Example) | 2x Intel Xeon Scalable 4th Gen (Sapphire Rapids) Platinum 8480+ |
| Core Count (Total) | 112 Cores (56 Cores per socket) |
| Thread Count (Total) | 224 Threads |
| Base Clock Frequency | 2.4 GHz |
| Max Turbo Frequency (Single Core) | 3.8 GHz |
| L3 Cache (Total) | 220 MB (110MB per socket) |
| TDP (Per CPU) | 350W |
| Memory Channels Supported | 8 Channels per CPU |
- Note: The high core count necessitates robust Power Supply Unit (PSU) redundancy and advanced Thermal Management Systems (TMS).*
1.3 Memory Subsystem
The ServerRental.store prioritizes high-speed, high-capacity memory configurations, utilizing DDR5 technology for increased bandwidth. The system supports 32 DIMM slots (16 per CPU socket).
| Parameter | Specification |
|---|---|
| Memory Type | DDR5 ECC Registered (RDIMM) |
| Memory Speed Rating | 4800 MT/s (JEDEC Standard) |
| Total Capacity | 1024 GB (8x 128GB DIMMs) |
| Configuration Density | 8-channel population per CPU (Optimal performance configuration) |
| Maximum Supported Capacity | 8 TB (using 32x 256GB LRDIMMs) |
| Memory Bandwidth (Theoretical Max) | ~819.2 GB/s (Aggregated Dual-Socket) |
The use of registered DIMMs ensures stability under heavy load, a critical factor for *mission-critical hosting* environments. Further details on memory topology can be found in the CPU Memory Controller Architecture.
1.4 Storage Architecture
Storage is the defining feature of this SKU, employing an NVMe-centric design focused on low latency and high IOPS, essential for transactional databases and high-throughput computing.
The system supports up to 24x 2.5" hot-swap bays, configurable for U.2 NVMe or SAS/SATA drives. The default configuration emphasizes high-speed, local storage.
| Bay Location | Drive Type | Quantity | Total Capacity | Interface |
|---|---|---|---|---|
| Front U.2 Bays | Enterprise NVMe SSD (e.g., Kioxia CD6/CD7 Series) | 12 | 36.8 TB (12x 3.072 TB) | PCIe 4.0/5.0 x4 (via Tri-Mode RAID Controller) |
| Boot/OS Drives | M.2 NVMe (High Endurance) | 2 (Internal Mirrored) | 1.92 TB (2x 960 GB) | PCIe 4.0 x4 |
| Secondary Storage (Optional) | SAS SSD/HDD (For cold storage expansion) | 12 (Replaces NVMe bays) | Up to 180 TB (HDD) | SAS 12Gb/s |
The primary storage array is managed by a dedicated Hardware RAID Controller (HBA) providing hardware acceleration for RAID 0, 1, 5, 6, 10 configurations across the NVMe pool.
1.5 Networking and I/O
Network connectivity is provisioned for high-speed spine-and-leaf architectures, supporting 100GbE connectivity standard.
| Port Designation | Speed | Interface | Function |
|---|---|---|---|
| Primary Data Uplink 1 | 100 GbE (QSFP28) | PCIe 5.0 x16 | High-Throughput Workloads |
| Secondary Data Uplink 2 | 100 GbE (QSFP28) | PCIe 5.0 x16 | Redundancy / Storage Traffic (e.g., NVMe-oF) |
| Management Port (BMC) | 1 GbE (RJ45) | Dedicated LAN | IPMI/Redfish Management |
The system utilizes the latest generation of PCIe 5.0 lanes, offering 128 GB/s bidirectional throughput per slot, crucial for feeding the high-speed NVMe storage and external accelerators.
2. Performance Characteristics
The ServerRental.store configuration is designed to excel in environments demanding consistent, high-throughput processing and low-latency access to persistent storage. Performance metrics are derived from standardized stress tests simulating enterprise workloads.
2.1 Compute Benchmarks (Synthetic)
Synthetic benchmarks highlight the raw processing capability derived from the high core count and fast memory subsystem.
SPEC CPU 2017 (Integer and Floating Point)
The following table summarizes representative results achieved under standard 1-hour load testing conditions, using the default dual-CPU configuration (112C/224T).
| Benchmark Suite | Metric | Result Score | Notes |
|---|---|---|---|
| SPECrate 2017 Integer | Rate | ~1850 | Measures throughput for integer-heavy applications (e.g., compilers). |
| SPECspeed 2017 Integer | Base Speed | ~480 | Measures latency-sensitive single-thread performance. |
| SPECrate 2017 Floating Point | Rate | ~2100 | Critical for HPC and scientific simulations. |
| SPECspeed 2017 Floating Point | Base Speed | ~525 | Reflects efficiency in complex mathematical operations. |
The high Floating Point Rate is a direct consequence of the AVX-512 support present in the selected CPU architecture, enabling significant vector processing capabilities. Vector Processing Units are key performance enablers here.
2.2 Storage I/O Performance
The performance of the 12-drive NVMe array, configured in a performance-optimized RAID 0 or RAID 10 setup, is the system's major differentiator.
Sequential Read/Write Throughput
Testing conducted using FIO (Flexible I/O Tester) with 128K block sizes, targeting the entire pool.
| Operation | Throughput (GB/s) | Notes |
|---|---|---|
| Sequential Read (RAID 0) | > 35.0 GB/s | Limited by PCIe 5.0 aggregate bandwidth constraints. |
| Sequential Write (RAID 0) | > 30.0 GB/s | Sustained write performance, accounting for controller overhead. |
Random I/O Operations (IOPS)
Random performance is crucial for OLTP (Online Transaction Processing) workloads. Testing utilized 4K block sizes with a 70/30 Read/Write mix.
| Configuration | IOPS (Total) | Latency (p99) |
|---|---|---|
| NVMe Pool (RAID 10) | ~2,500,000 IOPS | < 150 microseconds (µs) |
| Single SSD (Baseline) | ~350,000 IOPS | ~200 microseconds (µs) |
The substantial increase in IOPS compared to a single drive highlights the effectiveness of the hardware RAID controller in parallelizing I/O requests across the NVMe fabric. This confirms suitability for demanding Database Management Systems (DBMS).
2.3 Virtualization Density
When deployed as a hypervisor host (e.g., VMware ESXi or KVM), the system demonstrates high consolidation ratios.
- **Virtual Machine (VM) Count:** Capable of reliably hosting 150-200 standard 4 vCPU/16GB RAM VMs under moderate load, constrained primarily by memory capacity rather than CPU compute power alone.
- **vCPU Allocation Ratio:** A typical safe oversubscription ratio of 5:1 can be maintained due to the high core count and robust memory bandwidth.
3. Recommended Use Cases
The ServerRental.store configuration is not a general-purpose entry-level server; it is optimized for specific, high-demand enterprise workloads where performance consistency and low latency are non-negotiable requirements.
3.1 High-Performance Computing (HPC) and Scientific Modeling
The combination of high core density, massive memory bandwidth via DDR5, and strong floating-point performance makes this ideal for computational fluid dynamics (CFD), molecular dynamics simulations, and large-scale matrix operations. The extensive PCIe 5.0 lanes allow for the integration of multiple GPU Accelerators (e.g., NVIDIA H100), which can be fully saturated by the host bandwidth.
3.2 Large-Scale Database Hosting
This platform is perfectly suited for hosting demanding RDBMS (e.g., Oracle RAC, Microsoft SQL Server Enterprise) or NoSQL data stores (e.g., MongoDB clusters, Cassandra).
- **OLTP Workloads:** The storage subsystem ensures that transaction commits meet strict Service Level Agreements (SLAs) due to sub-millisecond latency.
- **In-Memory Databases:** The 1TB standard RAM configuration provides a strong foundation for systems like SAP HANA, where massive amounts of working data must reside in fast memory.
3.3 Virtual Desktop Infrastructure (VDI)
For organizations requiring high-density VDI deployments, this server offers the necessary compute density and I/O capacity to serve hundreds of concurrent users running standard office productivity suites. The storage subsystem prevents the "boot storm" degradation common in less capable VDI hosts.
3.4 AI/ML Training and Inference
While the base configuration lacks integrated high-end GPUs, the chassis supports up to four full-height, double-width accelerators. When equipped with appropriate GPUs, the server becomes a powerful node for smaller-scale deep learning model training or high-throughput inference serving, leveraging the 100GbE connectivity for distributed model training across a cluster. See GPU Integration Standards.
4. Comparison with Similar Configurations
To contextualize the ServerRental.store offering, it is necessary to compare it against two common alternative server profiles: a high-density storage server (HDD-focused) and a high-frequency, lower-core count server (traditional scale-up).
4.1 Comparison Matrix: Server Profiles
This comparison focuses on workloads where the ServerRental.store configuration (NVMe/High-Core) offers distinct advantages.
| Feature | ServerRental.store (NVMe/High-Core) | High-Density Storage Server (HDD Focus) | Scale-Up Server (High Frequency/Low Core) |
|---|---|---|---|
| CPU Core Count (Total) | 112 | 64 | 48 |
| Primary Storage Type | NVMe (PCIe 5.0) | SAS/SATA HDD (15K RPM) | |
| Typical Storage IOPS (4K R/W) | ~2.5 Million | ~40,000 | |
| Memory Bandwidth | High (DDR5 4800 MT/s) | Moderate (DDR4 3200 MT/s) | |
| Ideal Workload | Database, Virtualization, HPC | Archival, Backup, Large File Serving | |
| Cost Index (Relative) | High (5) | Medium (3) | Medium-High (4) |
The data clearly shows that the ServerRental.store configuration sacrifices raw raw storage capacity (measured in TB) for exponential improvements in storage performance (measured in IOPS and latency).
4.2 Comparison with Previous Generation (Gen 3/4)
Migrating from a previous generation system (e.g., using Intel Xeon Gen 3 Scalable processors) yields significant gains, primarily driven by the move to PCIe 5.0 and DDR5.
| Metric | Previous Gen (2S, 64C, DDR4) | ServerRental.store (Current Gen, 2S, 112C, DDR5) | Percentage Improvement |
|---|---|---|---|
| CPU Core Count | 64 | 112 | +75% |
| Memory Bandwidth | ~550 GB/s | ~820 GB/s | +49% |
| PCIe Lanes Available (Total) | 128 (Gen 4) | 160 (Gen 5, effective bandwidth double) | >100% (Bandwidth) |
| Storage Latency (p99) | ~300 µs | <150 µs | >50% Reduction |
The doubling of effective bandwidth via PCIe 5.0 is what allows modern accelerators and NVMe drives to operate closer to their theoretical maximums without creating system bottlenecks, a phenomenon documented in PCIe Generation Performance Analysis.
5. Maintenance Considerations
Deploying a high-density, high-TDP server like the ServerRental.store requires stringent adherence to datacenter operational standards regarding power, cooling, and physical access.
5.1 Power Requirements
With two 350W CPUs and twelve high-end NVMe drives, the power draw under peak synthetic load can easily exceed 1.6 kW.
- **PSU Redundancy:** The dual 2000W Titanium PSUs provide significant headroom (N+1 redundancy), but operators must ensure the rack PDU circuits are rated appropriately (typically requiring 20A circuits per server, depending on ambient temperature).
- **Power Density:** In a standard 42U rack populated densely with these units, the total power draw can approach 25-30 kW per rack, demanding advanced Rack Power Distribution Unit (PDU) infrastructure.
5.2 Thermal Management
The combined TDP of the core components (CPU + Chipset + Drives) places significant thermal load on the local cooling infrastructure.
- **Airflow Requirements:** A minimum of 150 CFM (Cubic Feet per Minute) of directed cold-aisle air pressure is required to maintain inlet temperatures below 25°C (77°F) during peak operation. Failure to meet this results in immediate thermal throttling of the CPUs to maintain the Tjunction limit (typically 100°C).
- **Fan Noise:** Due to the necessity of high-static pressure fans to move air across dense heatsinks, these servers generate significantly higher acoustic noise than lower-density units, which must be factored into proximity planning within the data hall. Refer to Datacenter Acoustic Standards.
5.3 Remote Management and Firmware
Management is handled via an integrated Baseboard Management Controller (BMC), supporting the Redfish API standard for modern, secure remote operations.
- **Firmware Lifecycle:** Due to the complexity of the integrated peripherals (Tri-Mode RAID Controller, 100GbE NICs), firmware updates must be meticulously scheduled. Updating the BMC, BIOS, RAID controller, and NIC firmware sequentially is mandatory to prevent incompatibility issues, often requiring scheduled downtime. Consult the Server Maintenance Schedule Protocol.
- **Drive Health Monitoring:** Proactive monitoring of NVMe health via S.M.A.R.T. data exposed through the BMC is crucial. Given the high utilization, drive endurance (TBW rating) depletion must be tracked closely to preemptively schedule drive replacements before failure impacts performance or data integrity. This ties directly into Predictive Hardware Failure Analysis.
5.4 Physical Installation and Cabling
The 2U design supports dense component packing. Proper cable management is critical to avoid obstructing airflow paths, particularly around the rear fan assemblies and PCIe riser cages. Using high-density QSFP28 DACs (Direct Attach Cables) for 100GbE connections is recommended over optical transceivers for short rack runs to save on power and complexity, though Optical Transceiver Selection guides should be consulted for longer runs.
The ServerRental.store configuration represents a convergence point for modern enterprise requirements: extreme I/O throughput married to substantial, multi-threaded computational density, suitable for the most demanding cloud and private infrastructure deployments.
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.* ⚠️