Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • RunPod Reviews & Ratings
    116 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    3 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    4 Ratings
    Company Website
  • Vertex AI Reviews & Ratings
    673 Ratings
    Company Website
  • Parallels RAS Reviews & Ratings
    861 Ratings
    Company Website
  • Curtain MonGuard Screen Watermark Reviews & Ratings
    7 Ratings
    Company Website
  • Boozang Reviews & Ratings
    14 Ratings
    Company Website
  • kama DEI Reviews & Ratings
    8 Ratings
  • 1000pip Climber Forex Robot Reviews & Ratings
    96 Ratings
    Company Website
  • Lockbox LIMS Reviews & Ratings
    62 Ratings
    Company Website

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 Tenstorrent DevCloud?

Tenstorrent DevCloud was established to provide users the opportunity to test their models on our servers without the financial burden of hardware investments. By launching Tenstorrent AI in a cloud environment, we simplify the exploration of our AI solutions for developers. Users can initially log in for free and subsequently engage with our dedicated team to gain insights tailored to their unique needs. The talented and passionate professionals at Tenstorrent collaborate to create an exceptional computing platform for AI and software 2.0. As a progressive computing enterprise, Tenstorrent is dedicated to fulfilling the growing computational demands associated with software 2.0. Located in Toronto, Canada, our team comprises experts in computer architecture, foundational design, advanced systems, and neural network compilers. Our processors are engineered for effective neural network training and inference, while also being versatile enough to support various forms of parallel computations. These processors incorporate a network of Tensix cores that significantly boost performance and scalability. By prioritizing innovation and state-of-the-art technology, Tenstorrent strives to redefine benchmarks within the computing sector, ensuring we remain at the forefront of technological advancements. In doing so, we aspire to empower developers and researchers alike to achieve their goals with unprecedented efficiency and effectiveness.

Media

Media

Integrations Supported

Docker
Hugging Face
KServe
Kubernetes
NGINX
NVIDIA DRIVE
OpenAI
PyTorch

Integrations Supported

Docker
Hugging Face
KServe
Kubernetes
NGINX
NVIDIA DRIVE
OpenAI
PyTorch

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

docs.vllm.ai/en/latest/

Company Facts

Organization Name

Tenstorrent

Company Location

Canada

Company Website

tenstorrent.com/devcloud/

Categories and Features

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Popular Alternatives

OpenVINO Reviews & Ratings

OpenVINO

Intel

Popular Alternatives

SambaNova Reviews & Ratings

SambaNova

SambaNova Systems