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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

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

Every product we offer includes bandwidth and is typically priced 70 to 90% lower than similar options available in the market. Our solutions are crafted by a dedicated team based entirely in the United States. The servers are managed by independent hosts utilizing our proprietary hypervisor software. We provide a cloud solution that is flexible, resilient, scalable, and secure, perfectly suited for burstable workloads. Our pricing can be as much as 70% lower than traditional cloud providers. For continuous workloads, such as ML inference, we offer low-cost secure servers available on a monthly basis or for extended terms. A key priority for us is ensuring seamless integration with our customers' existing technology stacks. We pride ourselves on our thorough documentation and maintenance, ensuring everything functions smoothly and effectively. Additionally, our commitment to customer support further enhances the overall user experience.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Cerebras Yes 
Graphcore Yes 
H2O.ai Yes 
HALO Yes 
IBM Cloud Yes 
IBM Power Servers Yes 
Kubernetes Yes 
Lightning AI Yes 
NVIDIA DRIVE Yes 
ONNX Yes 
OpenStack Yes 
PaddlePaddle Yes 
PyTorch Yes 
Python Yes 
Qualcomm Cloud AI SDK Yes 
ScaleMatrix Yes 
TensorFlow Yes 
Tune AI No 
VMware ESXi Yes 

Integrations

Cerebras No 
Graphcore No 
H2O.ai No 
HALO No 
IBM Cloud No 
IBM Power Servers No 
Kubernetes No 
Lightning AI No 
NVIDIA DRIVE No 
ONNX No 
OpenStack No 
PaddlePaddle No 
PyTorch No 
Python No 
Qualcomm Cloud AI SDK No 
ScaleMatrix No 
TensorFlow No 
Tune AI Yes 
VMware ESXi No 

Pricing Details

$2.49 per hour
Free Trial No 
Free Version No 

Pricing Details

$0.05 per hour
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Cirrascale

Website

cirrascale.com

Vendor Details

Company Name

TensorDock

Founded

2021

Country

United States

Website

tensordock.com

Product Features

Product Features

Alternatives

Alternatives