Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Centific has developed a cutting-edge AI data foundry platform that utilizes NVIDIA edge computing to enhance AI implementation by providing greater flexibility, security, and scalability through an all-encompassing workflow orchestration system. This platform integrates AI project oversight into a singular AI Workbench, which manages the entire process from pipelines and model training to deployment and reporting in a cohesive setting, while also addressing data ingestion, preprocessing, and transformation needs. Additionally, RAG Studio streamlines retrieval-augmented generation workflows, the Product Catalog efficiently organizes reusable components, and Safe AI Studio incorporates integrated safeguards to ensure regulatory compliance, minimize hallucinations, and safeguard sensitive information. Featuring a plugin-based modular design, it accommodates both PaaS and SaaS models with consumption monitoring capabilities, while a centralized model catalog provides version control, compliance assessments, and adaptable deployment alternatives. The combination of these features positions Centific's platform as a versatile and robust solution for modern AI challenges.
Description
A robust platform optimized for training is equipped with NVIDIA® H100 Tensor Core GPUs, offering competitive pricing and personalized support. Designed to handle extensive machine learning workloads, it allows for efficient multihost training across thousands of H100 GPUs interconnected via the latest InfiniBand network, achieving speeds of up to 3.2Tb/s per host. Users benefit from significant cost savings, with at least a 50% reduction in GPU compute expenses compared to leading public cloud services*, and additional savings are available through GPU reservations and bulk purchases. To facilitate a smooth transition, we promise dedicated engineering support that guarantees effective platform integration while optimizing your infrastructure and deploying Kubernetes. Our fully managed Kubernetes service streamlines the deployment, scaling, and management of machine learning frameworks, enabling multi-node GPU training with ease. Additionally, our Marketplace features a variety of machine learning libraries, applications, frameworks, and tools designed to enhance your model training experience. New users can take advantage of a complimentary one-month trial period, ensuring they can explore the platform's capabilities effortlessly. This combination of performance and support makes it an ideal choice for organizations looking to elevate their machine learning initiatives.
API Access
Has API
No
API Access
Has API
No
Integrations
AI SpendOps
No
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Hugging Face
Yes
Microsoft Azure
Yes
NVIDIA DGX Cloud Lepton
No
NVIDIA DGX Cloud Serverless Inference
No
NVIDIA DRIVE
Yes
Nebius Token Factory
No
OpenAI
Yes
Integrations
AI SpendOps
Yes
Amazon Web Services (AWS)
No
Google Cloud Platform
No
Hugging Face
No
Microsoft Azure
No
NVIDIA DGX Cloud Lepton
Yes
NVIDIA DGX Cloud Serverless Inference
Yes
NVIDIA DRIVE
No
Nebius Token Factory
Yes
OpenAI
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$2.66/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
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
No
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
Centific
Country
United States
Website
centific.com
Vendor Details
Company Name
Nebius
Founded
2022
Country
Netherlands
Website
nebius.ai/
Product Features
Data Labeling
Human-in-the-loop
No
Labeling Automation
No
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
No
Team Collaboration
No
Training Data Management
No
Product Features
Data Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
No
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
No
Machine Learning
No
Visual User Interface
No
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