Tyan Transport GT24 (B2912-E) Barebone System – Dual-CPU Enterprise Server Platform

The Tyan Transport GT24 (B2912-E) Barebone System is engineered for demanding data-center workloads where reliability, scalability, and customization matter most. This enterprise-ready chassis serves as a powerful foundation for virtualization, database hosting, and server consolidation, delivering the core components you need and leaving the configuration details to match your exact deployment. With dual CPU capability, a robust chipset, ample memory options, and dependable networking, the GT24 stands as a flexible platform that evolves with your business needs while maintaining a streamlined footprint and efficient operation.

• Two dual-core AMD Opteron processors The GT24 is designed to accept two AMD Opteron processors, providing solid multi-threaded performance and headroom for virtualization, consolidation, and compute-intensive tasks. This dual-processor capability enables you to scale across workloads without compromising latency or throughput, making it suitable for mid-size data centers, remote offices, and enterprise deployments.
• Premium NVIDIA nForce Pro 3600 chipset Integrated with the NVIDIA nForce Pro 3600 chipset, the GT24 delivers robust I/O support, dependable chipset-level reliability, and optimized memory bandwidth to sustain steady performance under demanding server workloads. This chipset pairing helps ensure stability for mission-critical applications and smooth operation across connected peripherals.
• Memory scalability with 8 DDR2 DIMMs up to 32 GB The GT24 supports 8 DDR2 DIMMs for up to 32 GB of DDR2 registered memory, delivering ample space for memory-intensive operations such as virtualization hosts, in-memory databases, caching layers, and large-scale web services. ECC support helps safeguard data integrity, while the flexible DIMM configuration enables you to tune performance and density to fit your specific workload.
• Dual Gigabit Ethernet LAN for performance and reliability Equipped with two Gigabit Ethernet LAN ports, the GT24 provides fast, dependable network connectivity with room for network teaming, failover configurations, or clustered deployments. This built-in networking capability helps ensure consistent data transfer rates and resilient connectivity across server-to-server or client-facing services.
• Barebone flexibility for tailored deployments As a barebone system, the GT24 provides a robust chassis and mainboard foundation that you can customize with the exact CPUs, memory, storage, and add-on cards your environment requires. This flexibility makes it ideal for virtualization hosts, application servers, or specialized edge deployments where space, power efficiency, and upgradeability are priorities.

Technical Details of Tyan Transport GT24 (B2912-E) Barebone System

• CPU support: 2 x AMD Opteron processors (dual-core configuration per processor as specified)
• Chipset: NVIDIA nForce Pro 3600
• Memory: 8 x DDR2 DIMMs, up to 32 GB DDR2 registered memory
• Networking: 2 x Gigabit Ethernet LAN ports
• Form factor: Barebone system designed to be completed with CPUs, memory, drives, and expansion options by the user

How to install Tyan Transport GT24 (B2912-E) Barebone System

• Prepare your workspace and ensure you have the necessary components: CPUs compatible with the GT24, DDR2 ECC registered memory, storage drives, power cables, and expansion cards if needed.
• Install CPU(s): Open the processor sockets, apply appropriate cooling solutions, and carefully seat each AMD Opteron CPU. Attach the heatsinks or airflow cooling assemblies and secure according to the chassis guidelines to ensure proper thermal performance.
• Install memory: Align and insert the 8 DDR2 DIMMs into their slots, ensuring each module is fully seated and latched. Verify that memory is populated according to the motherboard’s recommended population order for optimal performance and stability.
• Install storage and expansion: Add your storage drives into the chassis’s supported bays or backplane, and install any required RAID controllers, PCIe/PCI cards, or other expansion modules as dictated by your workload. Connect data and power cables securely to minimize risk of drive or card failures.
• Connect power and network: Attach the power supply cables and connect the two Gigabit Ethernet ports to your network infrastructure. If a management interface or BMC is available, connect the management port to a dedicated management network for remote monitoring and control.
• Power up and configure: Boot the system and enter the BIOS/UEFI to configure CPU settings, memory timings, and boot devices. If you’re deploying storage in a RAID configuration, set up the appropriate arrays with your RAID controller. Install your operating system and relevant server software, then validate hardware health with POST diagnostics and memory tests to ensure a stable production environment.

Frequently asked questions

• What is the GT24 (B2912-E) Barebone System? It is a barebone server chassis designed to be configured with your chosen CPUs, memory, storage, and expansion options to meet enterprise workloads. It provides a robust foundation for virtualization, databases, and clustered services while allowing customization to fit specific data-center requirements.
• Do I need to provide CPUs? Yes. The GT24 is a barebone system, so you must supply the two AMD Opteron processors to complete the build and achieve dual-CPU capability.
• What memory is supported? The system supports up to 32 GB of DDR2 registered memory across 8 DIMM slots, enabling substantial in-memory capacity for virtualization and database workloads while maintaining ECC protection for data integrity.
• How many network ports are included? The GT24 includes two Gigabit Ethernet LAN ports, offering reliable high-speed networking suitable for clustering, backups, and intra-data-center traffic.
• Is this a suitable platform for virtualization? Yes. With two CPU sockets, ample memory, and enterprise-grade chipset support, the GT24 is well-suited for virtualization hosts, server consolidation, and other demanding workloads when properly configured with compatible CPUs, RAM, and storage.