GPU Server trends you need to know
Here’s a few trends you should be aware of:
Increased demand for AI and ML workloads:Â AI and ML workloads are becoming increasingly popular, which is driving demand for servers with more GPUs.
More powerful GPUs:Â GPU manufacturers are constantly releasing new GPUs with more cores, higher clock speeds, and more memory. This is making servers with multiple GPUs even more powerful.
Adoption of PCIe 5.0:Â PCIe 5.0 is the latest generation of the PCIe interface, which offers significantly higher bandwidth than previous generations. This is important for GPUs, which require a lot of bandwidth to transfer data.
Increased use of NVMe storage:Â NVMe storage is much faster than traditional hard disk drives (HDDs), which is important for AI and ML workloads that require fast access to data.
Server designs that are optimized for GPUs:Â Server manufacturers are now offering servers that are specifically designed for GPUs. These servers have features such as optimized cooling systems and power supplies that are designed to handle the high power requirements of GPUs.
More affordable GPUs:Â GPUs are becoming more affordable, which is making them more accessible to a wider range of organizations.
Growing popularity of edge computing:Â Edge computing is a new trend that is driving demand for servers with GPUs. Edge computing allows organizations to process data closer to the source, which can reduce latency and improve performance.
As a premier partner to NVIDIA, AMD and server manufacturers, we can find the right solution for your use case.
VELOCITY N228G-LC
The NVIDIA Graceâ„¢ architecture is designed for a new type of emerging data center—AI factories that process and refine mountains of data to produce intelligence.Â
 
 
 
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GPU Server trends you need to know
Here’s a few trends you should be aware of:
Increased demand for AI and ML workloads:Â AI and ML workloads are becoming increasingly popular, which is driving demand for servers with more GPUs.
More powerful GPUs:Â GPU manufacturers are constantly releasing new GPUs with more cores, higher clock speeds, and more memory. This is making servers with multiple GPUs even more powerful.
Adoption of PCIe 5.0:Â PCIe 5.0 is the latest generation of the PCIe interface, which offers significantly higher bandwidth than previous generations. This is important for GPUs, which require a lot of bandwidth to transfer data.
Increased use of NVMe storage:Â NVMe storage is much faster than traditional hard disk drives (HDDs), which is important for AI and ML workloads that require fast access to data.
Server designs that are optimized for GPUs:Â Server manufacturers are now offering servers that are specifically designed for GPUs. These servers have features such as optimized cooling systems and power supplies that are designed to handle the high power requirements of GPUs.
More affordable GPUs:Â GPUs are becoming more affordable, which is making them more accessible to a wider range of organizations.
Growing popularity of edge computing:Â Edge computing is a new trend that is driving demand for servers with GPUs. Edge computing allows organizations to process data closer to the source, which can reduce latency and improve performance.
As a premier partner to NVIDIA, AMD and server manufacturers, we can find the right solution for your use case.
VELOCITY N228G-LC
The NVIDIA Graceâ„¢ architecture is designed for a new type of emerging data center—AI factories that process and refine mountains of data to produce intelligence.Â
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