This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.
Streamline your demanding workloads with the unmatched processing power of a GPU-enabled Windows Server, conveniently pre-configured by Apps4Rent for seamless deployment on the AWS Marketplace. This powerful offering utilizes the G4dn.xlarge instance type, featuring NVIDIA graphics processing units (GPUs) specifically designed to tackle complex computational tasks with unparalleled speed and efficiency.
Disclaimer: The respective trademarks mentioned in the offering are owned by the respective companies. We do not provide the commercial license of any of these products. Many of the products have a free, demo, or Open-Source license as applicable. Image may take up to 5-7 minutes for the initial launch.
Highlights
Apps4Rent's offering pairs the flexibility and familiarity of a Windows Server environment with the raw performance of G4 class GPUs. Experience a significant boost in processing power for applications like machine learning, video editing, and scientific simulations. Focus on innovation and achieving groundbreaking results, while Apps4Rent handles the underlying infrastructure.
Our pre-configured Windows Server with G4 class GPUs empowers you to effortlessly manage and scale your most demanding workloads... (Rest of the passage about manageability, scaling, and focus remains the same).
The flexible nature of AWS empowers you to seamlessly adjust your Apps4Rent GPU server configuration to accommodate even the most intensive projects. As your needs grow, simply scale your resources with ease, ensuring you always have the processing power required for success.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This listing has one pricing dimension: the g4dn.xlarge instance, billed by the hour. You pay only for the hours you run, with no upfront commitment or fixed term. This is a GPU-enabled Windows Server 2019 environment suited to graphics-intensive work such as CAD, rendering, streaming, and design applications. Because billing is usage-based, your cost scales directly with runtime. There are no separate tiers or instance sizes to compare within this listing; the single hourly rate covers the GPU-backed instance.
Top-of-mind questions for buyers
What hardware specs come with the g4dn.xlarge hourly instance?
The g4dn.xlarge is a GPU-backed instance running Windows Server 2019. It pairs a virtual GPU with vCPU and memory to run graphics-intensive work such as CAD, 3D rendering, transcoding, streaming, and design software. The GPU offloads parallel tasks from the CPU, letting high-demand applications run smoothly.
Am I charged when the instance is stopped or powered off?
Billing meters running time only, so software charges accrue per hour the instance runs. A fully stopped instance does not accrue software charges. Underlying AWS storage fees may still apply while the instance is stopped. Your cost scales directly with the hours you keep the instance running.
Is this pay-as-you-go, or do I commit to a fixed term upfront?
This is pay-as-you-go. You are billed by the hour with no upfront commitment and no fixed contract term. Charges start when you run the instance and stop when you turn it off. This suits variable or short-term graphics workloads where runtime changes from period to period.
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Vendor refund policy
Apps4Rent does not offer commercial licenses of any of the products mentioned above. The products come with open source licenses.
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An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
This software does not store any sensitive customer information.
This software does not require any type of data encryption configuration.
programmatic system credentials and cryptographic keys are not required for this product.
To verify GPU in this server:
Command prompt --> nvidia-smi (Here you can see GPU Details)
Search bar-->Task manager-->more details-->Performance--> Here you can see GPU Utilization.
Below are the minimum external resources subscriber needs to have to use this product:
-An Internet Connection is required in order for this product to function as expected.
-We recommend keeping your crucial data in a custom made encrypted EBS in order to save from termination in future.
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
The NVIDIA GPU-Optimized AMI is an environment for running the GPU-accelerated deep learning and HPC containers from the NVIDIA NGC catalog. The deep learning containers from NGC catalog require this AMI for GPU acceleration on AWS P5d, P4d, P3, G4dn, G5 GPU instances.
This is a repackaged open source software product wherein additional charges apply for technical support. Softwares included: Ubuntu , Gnome , NICE DCV and NVIDIA Tesla GPU Driver
Designed for advanced Linux users working on the powerful hardware of EC2 GPU-based instances, Red Hat Enterprise Linux Workstation AMI is optimized for high-performance graphics, animation, and scientific activities, and comes with NICE DCV and NVIDIA Tesla driver support.
This product has charges associated with it for seller support. The ECS-Optimized Amazon Linux 2 GPU AMI is designed for high-performance computing workloads, providing a robust platform for deploying applications that require enhanced graphical processing capabilities. With built-in optimizations for Amazon ECS, this AMI seamlessly integrates with containerized environments, facilitating efficient resource management and scaling. It supports NVIDIA GPUs, making it ideal for machine learning, data analytics, and rendering tasks. Users can leverage advanced security features and automatic updates, ensuring reliable performance and compliance. This AMI is perfect for developers and data scientists looking to accelerate their workflows while benefiting from the flexibility and scalability of the AWS cloud. Launch this AMI to harness the power of GPU-accelerated applications effortlessly.
This product has charges associated with it for seller support. This Red Hat Enterprise Linux 9 - NICE DCV and NVIDIA Tesla GPU driver image comes with the following softwares: NICE DCV and NVIDIA Tesla GPU driver.
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