SuperServer 6049GP-TRT Australia

SuperServer-6049GP-TRT supports Intel 2nd Gen Xeon Scalable family which drives greater efficiencies and lower TCO across the modernisation of infrastructures. The processor provides a foundation for enterprises, cloud, HPC, storage and communication applications.
This processor features:

Dual-socket systems are mainstream in data centres. Increased CPU cores and multithreading ultimately help build large scale-out systems and diversify applications for businesses and end users.
SuperServer-6049GP-TRT supports dual sockets processors which provides more cores and overall, more database tasks the system can handle. Dual processors are ideal for CPU intensive applications such as scientific applications, machine learning or deep learning, HPC, virtual machines and more.

SuperServer-6049GP-TRT supports the NVIDIA T4 GPU, flexible design for breakthrough performance. The GPU is based on the NVIDIA Turing architecture delivering 585 MHz Base GPU clock and 1590 MHz Maximum boost GPU clock, within a small and energy-efficient 70-watt PCIe 3.0 form factor. The T4 is optimised for mainstream computing environments, cloud, high performance computing, deep learning and inference, machine learning, data analytics and graphics.

SuperServer-6049GP-TRT features a 4U Server form factor designed for extensive expansion slots such as multi-GPU systems. This solution can provide a higher level of graphics, performance, and I/O compatibility.

SuperServer-6049GP-TRT can support up to 3 TB of RAM which ensures high storage capacity and improved server performance. With this capacity, the server can handle more Virtual Machines, distribute loads more effectively and allow businesses run more smoothly.

SuperServer-6049GP-TRT is equipped with either 3.5" SAS or SATA hot swappable drive options for easy to swap out hard drives upon failure, simple data transfer and backup using multiple hard drives, and ability to utilise more hard drives in fewer bays.

SuperServer-6049GP-TRT is equipped with 2.5" NVMe hot-swappable drive bays which provides faster data transfer speeds when compared to SATA, in some cases up to five or six times faster than SATA-based technologies.

This system utilises a redundant power supply which refers to being powered by two or more physical power supplies. As a result, this improves system up-time as each power supply will have the capacity to run the system on its own if one were to fail.

SuperServer-6049GP-TRT is equipped with NVMe which is the next-generation solid state storage technology. The NVMe efficiently supports the needs of client systems and enterprises using PCIe SSD. NVMe delivers rapid access and consumes less power, thus being more cost efficient. NVMe reduces latency and delivers higher input/output per second, as well as offering high performance across multiple cores for users that need quick access to data, support for security protocols and scalability for current and future performance.

SuperServer-6049GP-TRT supports Dual 10-GigaBit Ethernet which delivers significantly fast data speeds, overall better hardware and rack space efficiency, simple virtualization capabilities , less cabling, and greater overall scalability.

SuperServer-6049GP-TRT is GPU optimised, which offloads the burden of demanding computational tasks from the CPU. This allows servers to manage intense computing, composed of multiple cores handling hundreds of threads-accelerating the application's speed dramatically over a CPU-only application. A GPU amplifies its bandwidth with cache memory, whereas a CPU uses cache to reduce memory access latency, costing a lot of dead-space. A GPU-Optimised server is best suited for processing complex algorithms and massive data set for computer science applications, virtualization, and engineering.

Artificial intelligence (AI) requires purpose-built servers to handle data-intensive workloads — From data preparation to refined training models. This system is highly capable of handling artificial intelligence and machine learning use case. Delivering great compute performance and capacity to train and deploy AI/ML workloads quicker.