Developer Network

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  1. Developer Network

Overview

The Developer Network represents a specialized tier of dedicated server offerings at ServerRental.store, meticulously crafted to meet the demanding needs of software developers, game developers, machine learning engineers, and data scientists. Unlike general-purpose servers, the Developer Network is characterized by a focus on high core counts, substantial RAM capacity, fast storage solutions, and, critically, access to advanced hardware configurations often including multiple GPUs. The core philosophy behind the Developer Network is to provide a platform that minimizes bottlenecks in the development lifecycle – from code compilation and testing to model training and deployment. This is achieved through careful component selection and a flexible configuration system. The Developer Network is designed to be a highly scalable resource, allowing developers to easily adjust their server capacity as their projects evolve. It's a significant step beyond standard VPS Hosting in terms of raw power and customization. The network’s architecture is built upon the latest generation of CPU Architecture from both Intel and AMD, offering a diverse range of processing capabilities. We understand that different development tasks require different strengths, and the Developer Network aims to cater to them all. This article will provide a deep dive into the specifications, use cases, performance characteristics, and pros and cons of the Developer Network, helping you determine if it's the right solution for your development needs. A key component is the integration with our advanced Network Infrastructure, ensuring low latency and high bandwidth connectivity.

Specifications

The Developer Network offers a range of configurations, but they all adhere to a core set of high-performance standards. The following table details the baseline specifications for a typical Developer Network node. Note that these are customizable options, and clients can request specific adjustments to meet their unique requirements. The “Developer Network” designation applies to all configurations meeting or exceeding these baseline specs.

Component Specification Notes
CPU AMD EPYC 7763 (64 Cores/128 Threads) or Intel Xeon Platinum 8380 (40 Cores/80 Threads) Choice dependent on workload; AMD excels in multi-threaded tasks, Intel in single-threaded performance. See CPU Comparison for detailed analysis.
RAM 256GB DDR4 ECC Registered @ 3200MHz Expandable to 1TB. ECC Registered memory ensures data integrity. Refer to Memory Specifications for details.
Primary Storage 2 x 2TB NVMe PCIe Gen4 SSD (RAID 1) Provides high-speed read/write access for the operating system, applications, and frequently accessed data.
Secondary Storage 8 x 16TB SAS HDD (RAID 6) Offers large capacity for storing datasets, backups, and less frequently accessed files.
GPU (Optional) NVIDIA RTX A6000 (48GB GDDR6) or AMD Radeon Pro W6800 (32GB GDDR6) Multiple GPUs can be added; essential for machine learning and graphics-intensive tasks. See High-Performance GPU Servers for more details.
Network Interface 10Gbps Dedicated Network Port Low-latency connectivity to the internet and other servers.
Operating System Choice of Linux Distributions (Ubuntu, CentOS, Debian) or Windows Server Pre-configured with development tools upon request.
IPMI Dedicated IPMI interface for remote management Allows for out-of-band server management and troubleshooting.

Further customization options include varying CPU models, RAM capacities, storage configurations (including all-flash arrays), and the number and type of GPUs installed. The network also supports advanced networking features like Virtual LANs and Firewall Configuration.

Use Cases

The Developer Network is ideally suited for a wide range of demanding development tasks. Here are some key use cases:

  • **Software Compilation:** Compiling large codebases, particularly for projects like operating systems, game engines, and complex applications, can be significantly accelerated by the high core counts and fast storage of the Developer Network.
  • **Machine Learning:** Training deep learning models requires substantial computational power. The Developer Network, especially when equipped with multiple GPUs, provides the necessary resources for efficient model training and experimentation. This includes tasks like Deep Learning Frameworks training and inference.
  • **Game Development:** Game developers can leverage the Developer Network for tasks such as level design, asset creation, game engine testing, and multiplayer server hosting.
  • **Data Science:** Analyzing large datasets and performing complex data simulations benefits from the high RAM capacity and fast storage offered by the Developer Network.
  • **Continuous Integration/Continuous Deployment (CI/CD):** The Developer Network can serve as a powerful CI/CD server, enabling faster build times and more frequent deployments.
  • **Virtualization and Containerization:** Running multiple virtual machines or containers simultaneously is easily handled by the Developer Network’s abundant resources.
  • **Scientific Computing:** Simulations and research requiring significant processing power are well-suited for the Developer Network.

Performance

The performance of the Developer Network varies depending on the specific configuration. However, we can provide some indicative performance metrics based on benchmark testing. The following table illustrates the results of several common benchmarks run on a Developer Network node equipped with an AMD EPYC 7763 CPU, 256GB of RAM, and 2 x 2TB NVMe SSDs.

Benchmark Score Notes
Geekbench 5 (Single-Core) 1,750 Represents the performance of a single CPU core.
Geekbench 5 (Multi-Core) 140,000 Demonstrates the overall CPU performance when utilizing all cores.
Cinebench R23 (Multi-Core) 85,000 Measures CPU rendering performance.
CrystalDiskMark (Sequential Read) 7,000 MB/s Indicates the speed of reading data from the NVMe SSD.
CrystalDiskMark (Sequential Write) 6,500 MB/s Indicates the speed of writing data to the NVMe SSD.
PassMark PerformanceTest Overall 25,000 A comprehensive system performance score.

These scores are representative and can vary based on factors such as operating system, software configuration, and background processes. Performance can be further optimized through techniques like Server Optimization and careful software tuning. We also offer Performance Monitoring tools to help users track resource utilization and identify potential bottlenecks. The impact of GPU integration on performance is substantial for machine learning and graphics-intensive workloads; a node with an NVIDIA RTX A6000 can achieve up to 10x faster training times for certain deep learning models.

Pros and Cons

Like any server solution, the Developer Network has its advantages and disadvantages.

    • Pros:**
  • **High Performance:** Offers exceptional processing power, memory capacity, and storage speed.
  • **Scalability:** Easily customizable to meet evolving project needs.
  • **Flexibility:** Supports a wide range of operating systems and software applications.
  • **Reliability:** Built with high-quality components and redundant systems.
  • **Dedicated Resources:** Provides exclusive access to server resources, ensuring consistent performance.
  • **Remote Management:** IPMI interface allows for convenient remote server administration.
    • Cons:**
  • **Cost:** More expensive than shared hosting or VPS solutions.
  • **Technical Expertise:** Requires a certain level of technical expertise to manage and maintain.
  • **Responsibility:** Users are responsible for server security and software updates.
  • **Initial Setup:** May require more time and effort to set up and configure compared to simpler hosting options.
  • **Maintenance:** Ongoing server maintenance is required to ensure optimal performance and security. Consider utilizing our Managed Services to offload these responsibilities.



Conclusion

The Developer Network at ServerRental.store is a powerful and versatile server solution designed for demanding development workloads. Its high specifications, scalability, and flexibility make it an ideal choice for software developers, machine learning engineers, game developers, and data scientists. While the cost and technical requirements are higher than some alternatives, the benefits in terms of performance, reliability, and control are substantial. If you require a dedicated server environment optimized for development tasks, the Developer Network is a compelling option. We strongly recommend reviewing our detailed Server Documentation and contacting our support team for assistance in configuring a server that meets your specific needs. Consider also exploring our Cloud Server Options if you require even greater scalability and flexibility. The Developer Network is more than just a server; it’s a platform for innovation.

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Intel-Based Server Configurations

Configuration Specifications Price
Core i7-6700K/7700 Server 64 GB DDR4, NVMe SSD 2 x 512 GB 40$
Core i7-8700 Server 64 GB DDR4, NVMe SSD 2x1 TB 50$
Core i9-9900K Server 128 GB DDR4, NVMe SSD 2 x 1 TB 65$
Core i9-13900 Server (64GB) 64 GB RAM, 2x2 TB NVMe SSD 115$
Core i9-13900 Server (128GB) 128 GB RAM, 2x2 TB NVMe SSD 145$
Xeon Gold 5412U, (128GB) 128 GB DDR5 RAM, 2x4 TB NVMe 180$
Xeon Gold 5412U, (256GB) 256 GB DDR5 RAM, 2x2 TB NVMe 180$
Core i5-13500 Workstation 64 GB DDR5 RAM, 2 NVMe SSD, NVIDIA RTX 4000 260$

AMD-Based Server Configurations

Configuration Specifications Price
Ryzen 5 3600 Server 64 GB RAM, 2x480 GB NVMe 60$
Ryzen 5 3700 Server 64 GB RAM, 2x1 TB NVMe 65$
Ryzen 7 7700 Server 64 GB DDR5 RAM, 2x1 TB NVMe 80$
Ryzen 7 8700GE Server 64 GB RAM, 2x500 GB NVMe 65$
Ryzen 9 3900 Server 128 GB RAM, 2x2 TB NVMe 95$
Ryzen 9 5950X Server 128 GB RAM, 2x4 TB NVMe 130$
Ryzen 9 7950X Server 128 GB DDR5 ECC, 2x2 TB NVMe 140$
EPYC 7502P Server (128GB/1TB) 128 GB RAM, 1 TB NVMe 135$
EPYC 9454P Server 256 GB DDR5 RAM, 2x2 TB NVMe 270$

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⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️

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