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What is vLLM?

vLLM is an innovative library specifically designed for the efficient inference and deployment of Large Language Models (LLMs). Originally developed at UC Berkeley's Sky Computing Lab, it has evolved into a collaborative project that benefits from input by both academia and industry. The library stands out for its remarkable serving throughput, achieved through its unique PagedAttention mechanism, which adeptly manages attention key and value memory. It supports continuous batching of incoming requests and utilizes optimized CUDA kernels, leveraging technologies such as FlashAttention and FlashInfer to enhance model execution speed significantly. In addition, vLLM accommodates several quantization techniques, including GPTQ, AWQ, INT4, INT8, and FP8, while also featuring speculative decoding capabilities. Users can effortlessly integrate vLLM with popular models from Hugging Face and take advantage of a diverse array of decoding algorithms, including parallel sampling and beam search. It is also engineered to work seamlessly across various hardware platforms, including NVIDIA GPUs, AMD CPUs and GPUs, and Intel CPUs, which assures developers of its flexibility and accessibility. This extensive hardware compatibility solidifies vLLM as a robust option for anyone aiming to implement LLMs efficiently in a variety of settings, further enhancing its appeal and usability in the field of machine learning.

What is RightNow AI?

RightNow AI stands out as a groundbreaking platform that harnesses the power of artificial intelligence to automatically assess, pinpoint inefficiencies, and optimize CUDA kernels for peak performance. It works seamlessly with all major NVIDIA architectures, including Ampere, Hopper, Ada Lovelace, and Blackwell GPUs. Users can easily generate optimized CUDA kernels using only natural language prompts, eliminating the need for deep expertise in GPU details. Furthermore, its serverless GPU profiling feature enables users to identify performance bottlenecks without relying on local hardware resources. By replacing outdated optimization tools with a more streamlined solution, RightNow AI offers advanced capabilities such as inference-time scaling and thorough performance benchmarking. Esteemed AI and high-performance computing teams around the world, such as Nvidia, Adobe, and Samsung, rely on RightNow AI, which has demonstrated impressive performance improvements ranging from 2x to 20x when compared to traditional methods. This platform's capacity to simplify intricate processes truly revolutionizes the field of GPU optimization. In addition to enhancing efficiency, it empowers developers to focus more on creativity and innovation rather than technical complexities.

Media

Media

Integrations Supported

NVIDIA DRIVE
CUDA
Database Mart
Docker
Hugging Face
KServe
Kubernetes
NGINX
OpenAI
PyTorch
Thunder Compute

Integrations Supported

NVIDIA DRIVE
CUDA
Database Mart
Docker
Hugging Face
KServe
Kubernetes
NGINX
OpenAI
PyTorch
Thunder Compute

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$20 per month
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

vLLM

Company Location

United States

Company Website

vllm.ai

Company Facts

Organization Name

RightNow AI

Date Founded

2025

Company Location

United States

Company Website

www.rightnowai.co

Categories and Features

Categories and Features

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