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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Our advanced storage systems are capable of efficiently managing millions of small, random files to support GPU-based training servers, significantly speeding up the overall training process. We provide high-bandwidth, low-latency network solutions that facilitate seamless connections between distributed training servers while enabling smooth data transfer from storage to servers. Unlike other cloud providers that impose additional fees for data retrieval, which can quickly accumulate, we strive to be an integral part of your team. Collaborating with you, we assist in establishing scheduling services, advise on best practices, and deliver exceptional support tailored to your needs. Recognizing that workflows differ across organizations, Cirrascale is committed to ensuring that you receive the most suitable solutions to achieve optimal results. Uniquely, we are the only provider that collaborates closely with you to customize your cloud instances, enhancing performance, eliminating bottlenecks, and streamlining your workflow. Additionally, our cloud-based solutions are designed to accelerate your training, simulation, and re-simulation processes, yielding faster outcomes. By prioritizing your unique requirements, Cirrascale empowers you to maximize your efficiency and effectiveness in cloud operations.

Description

GPU cloud computing is a service leveraging GPU technology to provide high-speed, real-time parallel and floating-point computing capabilities. This service is particularly well-suited for diverse applications, including 3D graphics rendering, video processing, deep learning, and scientific research. Users can easily manage GPU instances in a manner similar to standard ECS, significantly alleviating computational burdens. The RTX6000 GPU features thousands of computing units, demonstrating impressive efficiency in parallel processing tasks. For enhanced deep learning capabilities, it offers rapid completion of extensive computations. Additionally, GPU Direct facilitates seamless transmission of large data sets across networks. With an integrated acceleration framework, it enables quick deployment and efficient distribution of instances, allowing users to focus on essential tasks. We provide exceptional performance in the cloud at clear and competitive pricing. Furthermore, our pricing model is transparent and budget-friendly, offering options for on-demand billing, along with opportunities for increased savings through resource subscriptions. This flexibility ensures that users can optimize their cloud resources according to their specific needs and budget.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Cerebras
Graphcore
H2O.ai
HALO
IBM Cloud
IBM Power Servers
Kubernetes
Lightning AI
NVIDIA DRIVE
ONNX
OpenStack
PaddlePaddle
PyTorch
Python
Qualcomm Cloud AI SDK
Red Hat Cloud Suite
SambaNova
ScaleMatrix
TensorFlow
VMware ESXi

Integrations

Cerebras
Graphcore
H2O.ai
HALO
IBM Cloud
IBM Power Servers
Kubernetes
Lightning AI
NVIDIA DRIVE
ONNX
OpenStack
PaddlePaddle
PyTorch
Python
Qualcomm Cloud AI SDK
Red Hat Cloud Suite
SambaNova
ScaleMatrix
TensorFlow
VMware ESXi

Pricing Details

$2.49 per hour
Free Trial
Free Version

Pricing Details

$4.13 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Cirrascale

Website

cirrascale.com

Vendor Details

Company Name

XRCLOUD

Country

United States

Website

www.xrcloud.com/gpu/

Product Features

Product Features

Alternatives

Alternatives