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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
API Access
Has API
Integrations
Bloomberg
Docker
Gojek
IBM Cloud
Kubeflow
Kubernetes
NAVER
NVIDIA DRIVE
ZenML
Zillow
Integrations
Bloomberg
Docker
Gojek
IBM Cloud
Kubeflow
Kubernetes
NAVER
NVIDIA DRIVE
ZenML
Zillow
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
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
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
