Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Our top-tier CIARA ORION High Density (HD) servers, available in single or dual socket configurations, deliver exceptional flexibility, scalability, and efficiency to manage all your essential workloads. With the highest density of cores per rackmount unit in the industry, ORION HD products ensure optimal utilization of space within any data center. Designed to be compatible with both Intel® Xeon® Processor Scalable Family and AMD EPYC® processors, these servers present remarkable design possibilities for the large-scale deployment of high-density IT and HPC workloads. The ORION high-density server range incorporates cutting-edge silicon technology to ensure top performance and supports the highest thermal design power (TDP) in the market, along with a wide variety of storage options and extensive support for add-on cards. Perfect for infrastructure consolidation, academic research, cloud and hosting services, as well as applications requiring high-performance computing, these servers stand out as a robust solution. Furthermore, their adaptability across various sectors makes them a vital choice for organizations aiming to enhance their computational capabilities.
Description
KServe is a robust model inference platform on Kubernetes that emphasizes high scalability and adherence to standards, making it ideal for trusted AI applications. This platform is tailored for scenarios requiring significant scalability and delivers a consistent and efficient inference protocol compatible with various machine learning frameworks. It supports contemporary serverless inference workloads, equipped with autoscaling features that can even scale to zero when utilizing GPU resources. Through the innovative ModelMesh architecture, KServe ensures exceptional scalability, optimized density packing, and smart routing capabilities. Moreover, it offers straightforward and modular deployment options for machine learning in production, encompassing prediction, pre/post-processing, monitoring, and explainability. Advanced deployment strategies, including canary rollouts, experimentation, ensembles, and transformers, can also be implemented. ModelMesh plays a crucial role by dynamically managing the loading and unloading of AI models in memory, achieving a balance between user responsiveness and the computational demands placed on resources. This flexibility allows organizations to adapt their ML serving strategies to meet changing needs efficiently.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Bloomberg
No
Docker
No
Gojek
No
IBM Cloud
No
Kubeflow
No
Kubernetes
No
NAVER
No
NVIDIA DRIVE
No
ZenML
No
Zillow
No
Integrations
Bloomberg
Yes
Docker
Yes
Gojek
Yes
IBM Cloud
Yes
Kubeflow
Yes
Kubernetes
Yes
NAVER
Yes
NVIDIA DRIVE
Yes
ZenML
Yes
Zillow
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
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
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Hypertec
Country
Canada
Website
hypertec.com/ciara/high-density-server/
Vendor Details
Company Name
KServe
Website
kserve.github.io/website/latest/
Product Features
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No