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What is Zettar zx?
Zettar zx - Optimized Data Migration and Transfer Solutions
Application Scenarios
• Data Synchronization and Replication
• Seamless Data Migration
• Dynamic Tiering Solutions
• Migration within Cloud Environments
• Movement of Data in Hybrid Cloud Settings
• Centralizing Data for AI and Analytical Applications
• Collection of Data for Autonomous Vehicles
• Persistent Workloads from Edge to Core and Edge to Cloud
• Backup and Recovery Solutions for Data
• Temporary Data Staging
• Handling Data Transfers at Petabyte Scale and Managing Billions of Files
• Forwarding and Transferring Data
• Real-time Data Streaming Capabilities
Distinctive Features
• Peer-to-Peer Scalable Architecture: Achieving rapid data transfer through parallel computing at the cluster level.
• Built-in Transparent Compression
• Compatibility with Ethernet and InfiniBand Technologies.
• Supports a variety of data types, including files and objects (with S3 AWS compatibility) and S3 multipart APIs.
• Capability for simultaneous sending and receiving, allowing distinct areas for data reading and writing.
• High Security and Reliability: Utilizing TLS encryption to safeguard data transmission
• Comprehensive SDK and API for Integration
• Accessible via Web Interface
Zettar zx not only enhances the efficiency of data migration and transfer processes but also ensures that users benefit from state-of-the-art security and seamless integration.
What is AI-Q NVIDIA Blueprint?
Create AI agents that possess the abilities to reason, plan, reflect, and refine, enabling them to produce in-depth reports based on chosen source materials. With the help of an AI research agent that taps into a diverse array of data sources, extensive research tasks can be distilled into concise summaries in just a few minutes. The AI-Q NVIDIA Blueprint equips developers with the tools to build AI agents that utilize reasoning capabilities and integrate seamlessly with different data sources and tools, allowing for the precise distillation of complex information. By employing AI-Q, these agents can efficiently summarize large datasets, generating tokens five times faster while processing petabyte-scale information at a speed 15 times quicker, all without compromising semantic accuracy. The system's features include multimodal PDF data extraction and retrieval via NVIDIA NeMo Retriever, which accelerates the ingestion of enterprise data by 15 times, significantly reduces retrieval latency to one-third of the original time, and supports both multilingual and cross-lingual functionalities. In addition, it implements reranking methods to enhance accuracy and leverages GPU acceleration for rapid index creation and search operations, positioning it as a powerful tool for data-centric reporting. Such innovations have the potential to revolutionize the speed and quality of AI-driven analytics across multiple industries, paving the way for smarter decision-making and insights. As businesses increasingly rely on data, the capacity to efficiently analyze and report on vast information will become even more critical.
Media
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Integrations Supported
LangChain
Milvus
NVIDIA AI Data Platform
NVIDIA AI Enterprise
NVIDIA NeMo
Tavily
Integrations Supported
LangChain
Milvus
NVIDIA AI Data Platform
NVIDIA AI Enterprise
NVIDIA NeMo
Tavily
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Zettar
Date Founded
2015
Company Location
United States
Company Website
zettar.com
Company Facts
Organization Name
NVIDIA
Date Founded
1993
Company Location
United States
Company Website
build.nvidia.com/nvidia/aiq
Categories and Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
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