GPU Cloud Computing defines the use of hundreds and thousands of cores to work as one unit in matching with CPU requirements for engineering computation and scientific purposes. GPUs provide that extra support and acceleration for the modern electronic system. And GPUs are present or embedded in video cards, motherboards, or the CPU itself.
GPUs (Graphics Processing Units) present a standard electronic circuit that offers support for the system to enhance memory, and accelerates the buildup of images in frames buffer to fetch display on a specific device. GPUs are now used across versatile embedded systems, workstations, laptops, computer graphics, mobile phones, game consoles, and servers to improve their capability. GPUs are now more preferable than traditional Central processing units (CPUs) to handle a large amount of data and deliver impeccable performance.
E2E GPU Cloud Computing solutions come with numerous benefits with world-class GPU infra with NVIDIA T4 and Tesla V100 GPUs, 99.9% uptime, no hidden charges, low costs, and without any long-term commitments to match with your business specifications. Overall, E2E GPU Cloud solutions are ideal for various practical industrial applications. These include trending technologies such as Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Big data, Computational Finance, and all forms of Big Data capabilities.
Here are the features that define our GPU Cloud computing solutions
With continuous change in research and development, Graphic processors are the single most factor that businesses are leveraging to enhance their system capabilities and match their performance with the latest technology. At E2E Cloud, we offer the best industrial GPU computing solutions with the following Graphic processors.
- NVIDIA T4 provides 50X higher performance than CPUs to add multi-precision capabilities in servers to accelerate applications for handling technologies of deep learning, virtual desktops, and machine learning algorithms as millions of data streams are fed into the system.
- NVIDIA Tesla V100 is among the most powerful and advanced data centre GPUs to give systems capabilities to match with their requirements for high-performance computing (HPC), graphics, AI, and data science.
- NVIDIA RTX 8000 is an advanced and powerful Ray Tracing GPU that adds incredible performance to your IT architecture to deliver impeccable graphic performance.
Memory defines the higher capabilities for GPUs to enhance their performance in matching with the technological requirements. At E2E, you can combine the preferred graphic processor with a choice of memory to get the desired results and performance.
Memory is available in different slabs of 16 GB, 32 GB, 48 GB, 64 GB, 96 GB, and 128 GB to enhance the system capacity. While in Cloud GPU A100 plans, customers can prefer from the choice of 40 GB, 80 GB, and 160 GB memory.
Virtual Central Processing Units (vCPUs) are the added capabilities for the physical CPU combined to a virtual machine (VM). Most of the time vCPUs are time-dependent that adds more virtual processors from their existing system processors. Businesses can choose from their requirements of 8 vCPUs, 12 vCPUs, 16 vCPUs, 32 vCPUs, 48 vCPUs, 64 vCPUs, 96 vCPUs, and 128 vCPUs to match with technological aspects.
Dedicated RAM (Random Access Memory) is a separate portion of your memory kept aside for graphic processing with different slabs available from 50 GB, 110 GB, 120 GB, 180GB, 240GB, 360 GB, 480 GB, and to an extent level of 720 GB to match with high technological requirements.
While RAM is an essential part of the system required to keep it running. Dedicated RAM represents an added or external memory to do specific tasks and perform precisely in delivering exceptional results.
Disk space represents the storing mechanism for machines to record information for future use. At E2E, we have different disk space solutions with large SSD (Solid State Drive) slabs to match with your business specifications. Starting from 900 GB SSD, to mid-level 1800 GB SSD & 3600 GB SSD, and further extreme level of 7200 GB SSD.
Affordable Pricing with flexible options
With E2E, you get three slabs for buying GPU computing solutions that you can combine with other factors to match specific business performance.
GPU Cloud Plans
Cloud GPU A100 Plans
Cloud Windows GPU Plans
Both hourly and monthly price modes are available based on your business requirements. Further options are also available with extra discount as Quarterly plans (20%), Half Yearly (21%), and Annually (22%). On the Operating System (OS) aspect, customers can choose from multiple versions of Ubuntu 16, Ubuntu 18, and Centos 7 to match with their business specifications.
Though in the beginning GPUs intended were used as extended support for the central processing unit (CPU) for generating computer graphics and video processing; have now transformed into a powerful infrastructure as a service. Today industries are leveraging GPUs to enhance their system capabilities to deal with the latest technology and streamlining big data solutions for the future.
GPUs provide systems that extra support and power to handle large data for modern technologies such as Machine learning, Artificial Intelligence, Deep learning, Bioinformatics’, Molecular dynamics, Medical imaging, Digital Signal Processing, Neural networks, Cryptanalysis, Antivirus, Intrusion, and several other industrial applications.
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