Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

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.

Description

Kluster.ai is an AI cloud platform tailored for developers, enabling quick deployment, scaling, and fine-tuning of large language models (LLMs) with remarkable efficiency. Crafted by developers with a focus on developer needs, it features Adaptive Inference, a versatile service that dynamically adjusts to varying workload demands, guaranteeing optimal processing performance and reliable turnaround times. This Adaptive Inference service includes three unique processing modes: real-time inference for tasks requiring minimal latency, asynchronous inference for budget-friendly management of tasks with flexible timing, and batch inference for the streamlined processing of large volumes of data. It accommodates an array of innovative multimodal models for various applications such as chat, vision, and coding, featuring models like Meta's Llama 4 Maverick and Scout, Qwen3-235B-A22B, DeepSeek-R1, and Gemma 3. Additionally, Kluster.ai provides an OpenAI-compatible API, simplifying the integration of these advanced models into developers' applications, and thereby enhancing their overall capabilities. This platform ultimately empowers developers to harness the full potential of AI technologies in their projects.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

OpenAI
Database Mart
DeepSeek R1
DeepSeek-V3
Docker
Gemma 3
Hugging Face
KServe
Kubernetes
LLM Gateway
Llama
Llama 4 Maverick
Llama 4 Scout
Mistral NeMo
NGINX
NVIDIA DRIVE
PyTorch
Qwen
Qwen2.5-VL
Qwen3

Integrations

OpenAI
Database Mart
DeepSeek R1
DeepSeek-V3
Docker
Gemma 3
Hugging Face
KServe
Kubernetes
LLM Gateway
Llama
Llama 4 Maverick
Llama 4 Scout
Mistral NeMo
NGINX
NVIDIA DRIVE
PyTorch
Qwen
Qwen2.5-VL
Qwen3

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$0.15per input
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

VLLM

Country

United States

Website

docs.vllm.ai/en/latest/

Vendor Details

Company Name

kluster.ai

Founded

2024

Country

United States

Website

www.kluster.ai/

Product Features

Alternatives

Alternatives

OpenVINO Reviews

OpenVINO

Intel