High Performance Computing (HPC) Takes Center Stage
Together We Do Better
The collective nature of society and science has led to incredible triumphs, notably the Covid-19 vaccine that was discovered in record time. With the support of the global scientific community, resources were pooled together and that includes compute resources. High performance computing (HPC) clusters were shared by research institutions to find a solution far faster then what was ever possible.
GIGABYTE offers the springboard for research to be done with choices of x86 or Arm architecture that support the best in CPU computing with processors by AMD, Ampere, and Intel. Using high performing computing architecture coupled with networking and storage is at the heart of HPC.
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Why GIGABYTE HPC Servers?
High Performance
3rd Gen AMD EPYC™, 3rd Gen Intel® Xeon® Scalable, and Ampere® Altra® processors bring the ultimate in compute performance and multi-tasking.
GPU Powerhouse
Servers are built for high-end GPU computations by supporting up to 10 full-height full-length cards or the NVIDIA HGX platform.
Flexibility
Modular design allows systems to change their dedication to networking or storage. Not pigeon-holed servers.
Exceptional Cooling
Top tier cooling allows for peak performance out of CPUs, GPUs, and networking without thermal throttling.
Compatibility
Support for NVMe, SATA, and SAS all in one unit. As well, accelerators from NVIDIA, AMD, Xilinix, and Qualcomm.
Artificial Intelligence
AI deployment with scalability and performance is built into GIGABYTE servers at a great value.
Further Reading
MyelinTek's MLSteam is an easy-to-use deep learning system providing the same features of NVIDIA TAO framework. MLSteam can be bundled with Gigbayte G-series servers as a complete software and hardware integrated AI development environment. The AI developers can easily have a high performance computing AI system to focus on their professional knowledge domain to enable AI without worrying about the AI infrastructure.
GIGABYTE server is used for Virtual Desktop Infrastructure (VDI), allowing employees who are working remotely to use Microsoft RDP (remote desktop) tools to connect to the company’s server to run business critical GPU dependent software applications, so they can work on animation production at home. Even if they are not working on animation, employees can still use RDP to connect to the company’s server for secure Internet access and to complete paperwork.
Arizona’s Lowell Observatory is studying the Sun with GIGABYTE’s G482-Z50 GPU Server in an effort to filter out “stellar noise” when looking for habitable planets outside of our Solar System. The server’s AMD EPYC™ processors, parallel computing capabilities, excellent scalability, and industry-leading stability are all features that qualify it for this astronomical task, making the discovery of a true “Twin Earth” achievable within our lifetime.
High performance computing has a critical role to play in modern-day scientific research. The College of Science at National Taiwan Normal University anticipated the importance and rapid development of HPC. It purchased GIGABYTE servers to establish the Center for Cloud Computing on its campus, with an eye towards completing research projects more quickly and cultivating professionally trained experts in the field.
MyelinTek's MLSteam is an easy-to-use deep learning system providing the same features of NVIDIA TAO framework. The full AI software stack and the management tools help the AI developers focus on their professional AI mission to enable AI regarding dataset processing, model design, training job scheduling, hyperparameter tuning, GPU resource allocation and monitoring, , container managemet, and others.
Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on models and inference instead. It is seen as a subset of artificial intelligence.
[FAQ] - What types of GPGPUs can the new 3rd Gen AMD EPYC™ and 3rd Gen Intel® Xeon® Scalable based servers support?
When new AMD & NVIDIA GPUs are launched, GIGABYTE will release new drivers and support alongside AMD & NVIDIA releases. In addition, GIGABYTE routinely works with customers for specifically design servers tailored to a customer's request. New GIGABYTE products are available when the official website releases them. To receive the latest technology, please visit the GIGABYTE Where To Buy page to select products or pre-order.
[FAQ] - What drives are supported in the GPGPU servers?
GIGABYTE offers a wide range of product options with severs that have support for 3.5" & 2.5" HDD/SSD and hybrid NVMe U.2 drives. With GIGABYTE's superior design, the servers we produce outperform the competition. Thanks to the flexible design of the M.2 expansion slots on the server motherboard, the OS data caching design allows the entire group of drives to easily form a single RAID Group. Thus, it increases the flexibility of storage capacity configurations and allows drives to be dedicated to data access and protection. GIGABYTE servers' HDD/SSD bays also feature a tool-less design that avoids the need for tools in order to install drives.
[FAQ] - What are some PCIe specifications in these new GPU focused servers?
GIGABYTE's new generation of GPGPU servers support PCIe 4.0 and offer 64-128 PCIe lanes for AMD & NVIDIA GPUs. As well, GIGABYTE tailor makes servers to address the hardware requirement.