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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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Description

RightNow AI is an innovative platform that leverages artificial intelligence to automatically analyze, identify inefficiencies, and enhance CUDA kernels for optimal performance. It is compatible with all leading NVIDIA architectures, such as Ampere, Hopper, Ada Lovelace, and Blackwell GPUs. Users can swiftly create optimized CUDA kernels by simply using natural language prompts, which negates the necessity for extensive knowledge of GPU intricacies. Additionally, its serverless GPU profiling feature allows users to uncover performance bottlenecks without the requirement of local hardware resources. By replacing outdated optimization tools with a more efficient solution, RightNow AI provides functionalities like inference-time scaling and comprehensive performance benchmarking. Renowned AI and high-performance computing teams globally, including Nvidia, Adobe, and Samsung, trust RightNow AI, which has showcased remarkable performance enhancements ranging from 2x to 20x compared to conventional implementations. The platform's ability to simplify complex processes makes it a game-changer in the realm of GPU optimization.

Description

vLLM is an advanced library tailored for the efficient inference and deployment of Large Language Models (LLMs). Initially created at the Sky Computing Lab at UC Berkeley, it has grown into a collaborative initiative enriched by contributions from both academic and industry sectors. The library excels in providing exceptional serving throughput by effectively handling attention key and value memory through its innovative PagedAttention mechanism. It accommodates continuous batching of incoming requests and employs optimized CUDA kernels, integrating technologies like FlashAttention and FlashInfer to significantly improve the speed of model execution. Furthermore, vLLM supports various quantization methods, including GPTQ, AWQ, INT4, INT8, and FP8, and incorporates speculative decoding features. Users enjoy a seamless experience by integrating easily with popular Hugging Face models and benefit from a variety of decoding algorithms, such as parallel sampling and beam search. Additionally, vLLM is designed to be compatible with a wide range of hardware, including NVIDIA GPUs, AMD CPUs and GPUs, and Intel CPUs, ensuring flexibility and accessibility for developers across different platforms. This broad compatibility makes vLLM a versatile choice for those looking to implement LLMs efficiently in diverse environments.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

NVIDIA DRIVE Yes 
CUDA Yes 
Compute with Hivenet No 
DashboardGPT No 
Database Mart No 
Docker No 
DocsGPT No 
Kubernetes No 
LFM3 No 
ModelLane No 
Muse Spark Open No 
NGINX No 
Nemotron 3.5 Bolt No 
Nemotron 3.5 Super VL No 
Nemotron 3.5 Transcribe No 
OpenAI No 
PyTorch No 
Recursive Flint No 
Thunder Compute No 
omp No 

Integrations

NVIDIA DRIVE Yes 
CUDA No 
Compute with Hivenet Yes 
DashboardGPT Yes 
Database Mart Yes 
Docker Yes 
DocsGPT Yes 
Kubernetes Yes 
LFM3 Yes 
ModelLane Yes 
Muse Spark Open Yes 
NGINX Yes 
Nemotron 3.5 Bolt Yes 
Nemotron 3.5 Super VL Yes 
Nemotron 3.5 Transcribe Yes 
OpenAI Yes 
PyTorch Yes 
Recursive Flint Yes 
Thunder Compute Yes 
omp Yes 

Pricing Details

$20 per month
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
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 No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

RightNow AI

Founded

2025

Country

United States

Website

www.rightnowai.co

Vendor Details

Company Name

vLLM

Country

United States

Website

vllm.ai

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