Tesla K40
The Tesla K40 has advanced computing capabilities with its robust parallel processing feature.
Dedicated GPU servers with NVIDIA A40 are best for a variety of tasks. Discover the best GPU dedicated server hosting according to your workload. This card offers unmatched performance for HPC, AI, and more heavy tasks with its robust Ampere architecture along with 48 GB GDDR6 GPU memory.
Get StartedHost GPU dedicated servers simply with NVIDIA A40 GPU to get the reliable performance and features that are crucial for VR, and many more. Perfect for data centers, cloud-based AI-dedicated models, visualization, and high-performance computing (HPC), the A40 unites both scalability and energy productivity for heavy workloads.
With dedicated video decoder (NVDEC) as well as encoder engines (NVENC), we have the dedicated performance required to work with various streams at the same time, export any video quickly, and utilize multi-stream video applications for telecast, safety, privacy and video serving.
Drive immense cave automatic virtual environments, virtual sets, video walls, live telecast, and entertainment deployments based on location with support for numerous 8K monitors, NVIDIA Mosaic multi-display technology along with bezel correction, and Blend SDK and NVIDIA's Warp.
Accelerate the most fascinating experiences of virtual reality (VR) and augmented reality (AR) on the high-quality head-mounted displays (HMDs) with boosted graphics and optimized display bandwidth. Four-way VR SLI offers high-performance, allocating 2 NVLink-connected GPUs.
Quadro Virtual Data Center Workstations (Quadro vDWS) software-powered virtual workstations use the same Quadro platform as physical workstations, aiding from broad testing across a wide variety of applications and credits from more than 100 independent software sellers.
Hosted GPU dedicated server cater to reliable performance over included graphics.
Optimized GPU-to-GPU united bandwidth offers a solo scalable memory to enhance graphics and computation related workloads and manage larger datasets. A new and more solid NVLink connector lets it work on different kinds of servers.
New Tensor Float 32 (TF32) precision offers up to almost five times the training outcome over the past generation to boost AI without needing any changes in the code. Tensor Cores bring AI to graphics with full potential for limited apps.
Dual-speed processing for processes related to single-precision floating point (FP32) and enhanced power efficiency offer superior performance enhancements for graphics and imitation workflows, such as CAE and CAD.
With up to almost two times the output over the former generation and the potential to run real-time ray tracing, the second-generation RT Cores determine high speed for heavy workloads such as virtual prototyping, and design evaluations.
Presenting a dual-slot, power-effective design, this server is almost two times as power-effective as the past generation that is verified with a wide variety of NVIDIA-Certified systems from widespread OEMs with full security.
Next-generation enhancements with NVIDIA software of virtual GPUs (vGPU) permit for wide range, extra robust instances of virtual workstations for users operating from a distance, supporting high-quality remote design, artificial intelligence, and heavy workloads.
The A40 GPU server utilized NVIDIA RTX technology of the upcoming generation for
managing heavy workloads.
The NVIDIA A40 GPU is basically a powerhouse for both deep learning and AI, providing exceptional performance and productivity for all difficult ML tasks. Well-armed with the latest Ampere architecture, this server offers robust computational power and good memory bandwidth, making it one of the best options for training and expanding refined AI models.
It has almost 48 GB of GDDR6 along with ECC as well as 10,752 CUDA cores, and all these configurations are ideal for deep learning and AI tasks. Whether performing thorough research or development, this server optimizes the proficiencies of deep learning and artificial intelligence.
This GPU outshines in the case of visual computing, offering solid performance for different types of graphics-based applications. With its innovative Ampere architecture, the A40 provides high-quality graphic rendering, actual ray tracing, and productive parallel processing, making it the best option for tasks like 3D rendering, and VR.
The NVIDIA A40 server, powered by the modern Ampere architecture, carries out unique capabilities of visual computing, consisting of real-time ray tracing, artificial intelligence enhancement, and numerous heavy workload flexibility to level up deep learning, and computing-dependent workloads.
The best dedicated GPU server hosting with Tesla A40 offers a robust structure for end-users to use ideal
software and outcomes for visual computing and deep learning.
If you want to perform image rendering, play games or many more, then better alternatives
are mentioned below.
The Tesla K40 has advanced computing capabilities with its robust parallel processing feature.
The NVIDIA V100 provides exceptional performance for workloads related to AI/ML and deep learning.
The GeForce GT 710 offers neutral graphics performance for daily computing and multimedia projects.
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