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features
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Description

Design AI agents capable of reasoning, planning, reflecting, and refining to create comprehensive reports utilizing selected source materials. An AI research agent, drawing from a multitude of data sources, can condense extensive research efforts into mere minutes. The AI-Q NVIDIA Blueprint empowers developers to construct AI agents that leverage reasoning skills and connect with various data sources and tools, efficiently distilling intricate source materials with remarkable precision. With AI-Q, these agents can summarize vast data collections, generating tokens five times faster while processing petabyte-scale data at a rate 15 times quicker, all while enhancing semantic accuracy. Additionally, the system facilitates multimodal PDF data extraction and retrieval through NVIDIA NeMo Retriever, allows for 15 times faster ingestion of enterprise information, reduces retrieval latency by three times, and supports multilingual and cross-lingual capabilities. Furthermore, it incorporates reranking techniques to boost accuracy and utilizes GPU acceleration for swift index creation and search processes, making it a robust solution for data-driven reporting. Such advancements promise to transform the efficiency and effectiveness of AI-driven analytics in various sectors.

Description

The NVIDIA HPC Software Development Kit (SDK) offers a comprehensive suite of reliable compilers, libraries, and software tools that are crucial for enhancing developer efficiency as well as the performance and adaptability of HPC applications. This SDK includes C, C++, and Fortran compilers that facilitate GPU acceleration for HPC modeling and simulation applications through standard C++ and Fortran, as well as OpenACC® directives and CUDA®. Additionally, GPU-accelerated mathematical libraries boost the efficiency of widely used HPC algorithms, while optimized communication libraries support standards-based multi-GPU and scalable systems programming. The inclusion of performance profiling and debugging tools streamlines the process of porting and optimizing HPC applications, and containerization tools ensure straightforward deployment whether on-premises or in cloud environments. Furthermore, with compatibility for NVIDIA GPUs and various CPU architectures like Arm, OpenPOWER, or x86-64 running on Linux, the HPC SDK equips developers with all the necessary resources to create high-performance GPU-accelerated HPC applications effectively. Ultimately, this robust toolkit is indispensable for anyone looking to push the boundaries of high-performance computing.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace
Azure Marketplace
Domino Enterprise AI Platform
LangChain
Milvus
NVIDIA AI Data Platform
NVIDIA AI Enterprise
NVIDIA NeMo
Tavily

Integrations

AWS Marketplace
Azure Marketplace
Domino Enterprise AI Platform
LangChain
Milvus
NVIDIA AI Data Platform
NVIDIA AI Enterprise
NVIDIA NeMo
Tavily

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

NVIDIA

Founded

1993

Country

United States

Website

build.nvidia.com/nvidia/aiq

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/hpc-sdk

Product Features

HPC

Alternatives

Alternatives

CUDA Reviews

CUDA

NVIDIA