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Features of the Nvidia A40 GPU

Host 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.

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Video Encode and Decode

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.

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Multi-Display Technology

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.

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Immersive VR

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.

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Enterprise Drivers

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.

Unleash Your Potential with Affordable NVIDIA A40 Plans

Save 40%
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A40

$ 619.00/month

$50.99
  • Dual 18-Core E5-2697v4
  • 256GB RAM
  • 2TB NVMe + 8TB SATA
  • 1Gbps Port Speed
  • GPU: Nvidia A40
  • Microarchitecture: Ampere
  • Max GPUs: 1
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 37.48 TFLOPS
  • OS: Windows / Linux
  • Fully managed
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  • Instant Support
  • Quick Deploy
  • Robust Security

Ampere Architecture Powered Nvidia A40 GPU Hosting

Hosted GPU dedicated server cater to reliable performance over included graphics.

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Third-Generation NVIDIA NVLink���

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.

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Third-Generation Tensor Cores

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.

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NVIDIA Ampere Architecture CUDA��� Cores

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.

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Second-Generation RT Cores

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.

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Data Center Efficiency and Security

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.

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Virtualization-Ready

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.

When to select a NVIDIA A40 server?

The A40 GPU server utilized NVIDIA RTX technology of the upcoming generation for
managing heavy workloads.

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Deep learning and artificial intelligence

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.

Visual Computing

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.

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What Can Be Easily Run on GPU dedicated
Server Nvidia A40?

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.

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Substitutes of NVIDIA A40 GPU Server

If you want to perform image rendering, play games or many more, then better alternatives
are mentioned below.

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Tesla K40

The Tesla K40 has advanced computing capabilities with its robust parallel processing feature.


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NVIDIA V100

The NVIDIA V100 provides exceptional performance for workloads related to AI/ML and deep learning.


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GeForce GT710

The GeForce GT 710 offers neutral graphics performance for daily computing and multimedia projects.


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Frequently Asked Questions

This server is basically designed for superior-performance to drive all complex AI tasks, visual computing applications, and deep learning. It is powered by the Ampere architecture, which improves computational proficiency and productivity.

The main components of this server are 7,680 CUDA cores, 48 GB of GDDR6 memory, and complete support for actual ray tracing. It is enhanced for heavy workloads in the case of artificial intelligence, deep learning, and many more.

The A40 server is mainly utilized for superior performance computing projects like training AI models, and difficult data visualization. It is very useful in specialized graphics applications, AR and VR.

As compared to all other GPU servers, the NVIDIA A40 provides optimal performance in both deep learning and artificial intelligence because of its huge storage capacity and latest Tensor Cores. It turns out to be an ideal outcome for all expert and organizational-based apps.

This server benefits both deep learning and AI by offering quick training times, successful management of huge datasets, and improved reliability with its advanced Tensor Cores, which boosts all matrix procedures that are very important for ML.

While this server is not mainly developed for the purpose of gaming, its robust graphics skills can manage various gaming applications. Moreover, it is enhanced more for specialized and computational-based tasks instead of end-user gaming.

This server is fully cooperative with superior-performance servers and also workstations that easily support PCIe 4.0. It is mainly utilized in data centers and organizational atmospheres for artificial intelligence, research, and 3D modeling tasks.

Yes, the NVIDIA A40 is completely suitable for cloud computing, offering superior performance for cloud-dependent AI, ML, and data analysis facilities. It is frequently utilized in cloud GPU product offerings for organizations and scientific institutions.

The NVIDIA A40 is utilized especially for high-performance computing (HPC), AI-based model training, 3D graphic rendering, data analysis, and complex simulations, providing robust performance mainly for both data centers and advanced applications.