Graphics Processing Unit (GPU) is known as a dedicated processor that supports the central processing unit (CPU) to help accelerate the processing of graphics tasks or often associated with graphics-intensive applications. as 3D modeling software or virtual desktop infrastructure (VDI)
Use the powerful NVIDIA Tesla T4 Card series
The Tesla T4 GPU used in the TensorRT Hyperscale Inference platform. It accelerates diverse cloud workloads, including high-performance computing, deep learning training and inference, machine learning, data analytics, and graphics.
TPCloud also offers an upgraded version of the Tesla T4
TPCloud also offers an upgraded version of the Tesla T4 with powerful processing capabilities, surpassing the standard offering. With the NVIDIA Ampere Tensor Cores architecture and Multi-Instance GPU (MIG) technology, the NVIDIA A30 GPU delivers enhanced processing resource assurance for a wide range of workloads, including large-scale AI inference and high-performance computing (HPC) applications. By combining high memory bandwidth and low power consumption within a PCIe-optimized design suitable for common server configurations, the A30 allows flexible deployment in data centers and maximizes value for enterprises.
Energy Saving
NVIDIA Tesla T4 is packaged in an energy-efficient 70 W, small PCle from factor, optimized for maximum utility in enterprise data centers and the cloud
Maximum utility
Maximize utility in enterprise data centers and the cloud
Simplified Management
With the automatic management software of VMware, it helps customers easily manage automatically and flexibly in adjusting the configuration as required
Speed up the processing of complex tasks
Accelerate compute workloads in high performance computing (HPC), machine learning, or deep learning
Ability to process multiple data at the same time
Designed to quickly process huge chunks of data at once
Controlable cost
The product packages to customers at a reasonable cost depending on the needs of use
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