NVIDIA NIM

NVIDIA NIM

NVIDIA
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About

Explore the latest optimized AI models, connect AI agents to data with NVIDIA NeMo, and deploy anywhere with NVIDIA NIM microservices. NVIDIA NIM is a set of easy-to-use inference microservices that facilitate the deployment of foundation models across any cloud or data center, ensuring data security and streamlined AI integration. Additionally, NVIDIA AI provides access to the Deep Learning Institute (DLI), offering technical training to gain in-demand skills, hands-on experience, and expert knowledge in AI, data science, and accelerated computing. AI models generate responses and outputs based on complex algorithms and machine learning techniques, and those responses or outputs may be inaccurate, harmful, biased, or indecent. By testing this model, you assume the risk of any harm caused by any response or output of the model. Please do not upload any confidential information or personal data unless expressly permitted. Your use is logged for security purposes.

About

vLLM is a high-performance library designed to facilitate efficient inference and serving of Large Language Models (LLMs). Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry. It offers state-of-the-art serving throughput by efficiently managing attention key and value memory through its PagedAttention mechanism. It supports continuous batching of incoming requests and utilizes optimized CUDA kernels, including integration with FlashAttention and FlashInfer, to enhance model execution speed. Additionally, vLLM provides quantization support for GPTQ, AWQ, INT4, INT8, and FP8, as well as speculative decoding capabilities. Users benefit from seamless integration with popular Hugging Face models, support for various decoding algorithms such as parallel sampling and beam search, and compatibility with NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs, and more.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Organizations and enterprises seeking a tool to integrate advanced artificial intelligence capabilities into their operations

Audience

AI infrastructure engineers looking for a solution to optimize the deployment and serving of large-scale language models in production environments

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/ai/

Company Information

vLLM
United States
vllm.ai

Alternatives

Alternatives

OpenVINO

OpenVINO

Intel

Categories

Categories

Integrations

Docker
Kubernetes
OpenAI
Accenture AI Refinery
Database Mart
DiffusionGemma
Hugging Face
JSON
Linker Vision
LiteLLM
LlamaIndex
NVIDIA AI Data Platform
NVIDIA Blueprints
NVIDIA NeMo
NVIDIA NeMo Retriever
Node.js
Python
Spark Cloud Studio
Surfer H
VMware Private AI Foundation

Integrations

Docker
Kubernetes
OpenAI
Accenture AI Refinery
Database Mart
DiffusionGemma
Hugging Face
JSON
Linker Vision
LiteLLM
LlamaIndex
NVIDIA AI Data Platform
NVIDIA Blueprints
NVIDIA NeMo
NVIDIA NeMo Retriever
Node.js
Python
Spark Cloud Studio
Surfer H
VMware Private AI Foundation
Claim NVIDIA NIM and update features and information
Claim NVIDIA NIM and update features and information
Claim vLLM and update features and information
Claim vLLM and update features and information