Average Ratings 0 Ratings
Average Ratings 0 Ratings
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 By replacing outdated optimization tools with a more efficient solution, RightNow AI provides functionalities like inference-time scaling and comprehensive performance benchmarking.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
Integrations
NVIDIA DRIVE
Yes
CUDA
Yes
Database Mart
No
Docker
No
DocsGPT
No
Hugging Face
No
KServe
No
Kubernetes
No
Muse Spark Open
No
NGINX
No
Integrations
NVIDIA DRIVE
Yes
CUDA
No
Database Mart
Yes
Docker
Yes
DocsGPT
Yes
Hugging Face
Yes
KServe
Yes
Kubernetes
Yes
Muse Spark Open
Yes
NGINX
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