XRCLOUD Description
GPU cloud computing is a GPU computing service that offers real-time, high speed parallel computing with floating-point computing capability. It is suitable for a variety of scenarios, including 3D graphics, video decoding and deep learning. The GPU instances can be managed with ease and speed, just like an ECS. This relieves the computing pressure. RTX6000 GPU has thousands of computing units, which gives it a significant advantage in parallel computing. Massive computing can be completed quickly for optimized deep learning. GPU Direct supports the seamless transmission of big data between networks. It has a built-in acceleration framework that allows it to focus on core tasks through quick deployment and instance distribution. We offer transparent pricing and optimal cloud performance. Our cloud solution has an open and cost-effective price. You can choose to charge resources on demand, and get additional discounts by subscribing.
XRCLOUD Alternatives
Elastic GPU Service
Elastic computing instances with GPU computing accelerations suitable for scenarios such as artificial intelligence (specifically, deep learning and machine-learning), high-performance computing and professional graphics processing.
Elastic GPU Service is a complete service that combines both software and hardware. It helps you to flexibly allocate your resources, elastically scale up your system, increase computing power, and reduce the cost of your AI business. It is applicable to scenarios (such a deep learning, video decoding and encoding, video processing and scientific computing, graphical visualisation, and cloud gaming).
Elastic GPU Service offers GPU-accelerated computing and ready-to use, scalable GPU computing resource. GPUs are unique in their ability to perform mathematical and geometric computations, particularly floating-point computing and parallel computing. GPUs have 100 times more computing power than their CPU counterparts.
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Amazon EC2
Amazon Elastic Compute Cloud (Amazon EC2) provides secure, resizable cloud computing capacity. It was designed to make cloud computing at web scale easier for developers. Amazon EC2's web service interface makes it easy to configure and obtain capacity with minimal effort. It gives you complete control over your computing resources and allows you to run on Amazon's proven computing environment.
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Latitude.sh
All the information you need to deploy and maintain single-tenant, high performance bare metal servers. Latitude.sh is a great alternative to VMs. Latitude.sh has a lot more computing power than VMs. Latitude.sh gives you the speed and flexibility of a dedicated server, as well as the flexibility of the cloud. You can deploy your servers instantly through the Control Panel or use our powerful API to manage them. Latitude.sh offers a variety of hardware and connectivity options to meet your specific needs. Latitude.sh also offers automation. A robust, intuitive control panel that you can access in real-time to power your team, allows you to see and modify your infrastructure. Latitude.sh is what you need to run mission-critical services that require high uptime and low latency. We have our own private datacenter, so we are familiar with the best infrastructure.
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Google Cloud GPUs
Accelerate compute jobs such as machine learning and HPC. There are many GPUs available to suit different price points and performance levels. Flexible pricing and machine customizations are available to optimize your workload. High-performance GPUs available on Google Cloud for machine intelligence, scientific computing, 3D visualization, and machine learning. NVIDIA K80 and P100 GPUs, T4, V100 and A100 GPUs offer a variety of compute options to meet your workload's cost and performance requirements. You can optimize the processor, memory and high-performance disk for your specific workload by using up to 8 GPUs per instance. All this with per-second billing so that you only pay for what you use. You can run GPU workloads on Google Cloud Platform, which offers industry-leading storage, networking and data analytics technologies. Compute Engine offers GPUs that can be added to virtual machine instances. Learn more about GPUs and the types of hardware available.
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Pricing
Pricing Starts At:
$4.13 per month
Integrations
No Integrations at this time
Company Details
Company:
XRCLOUD
Headquarters:
United States
Website:
www.xrcloud.com/gpu/
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Product Details
Platforms
SaaS
Type of Training
Documentation
In Person
Customer Support
Phone Support
24/7 Live Support
Online
XRCLOUD Features and Options
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