CUDA

CUDA

NVIDIA
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About

CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance – while the compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.

About

VLLM is a high-performance library designed to facilitate efficient inference and serving of Large Language Models (LLMs). Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry. It offers state-of-the-art serving throughput by efficiently managing attention key and value memory through its PagedAttention mechanism. It supports continuous batching of incoming requests and utilizes optimized CUDA kernels, including integration with FlashAttention and FlashInfer, to enhance model execution speed. Additionally, vLLM provides quantization support for GPTQ, AWQ, INT4, INT8, and FP8, as well as speculative decoding capabilities. Users benefit from seamless integration with popular Hugging Face models, support for various decoding algorithms such as parallel sampling and beam search, and compatibility with NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs, and more.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers interested in a powerful parallel computing platform and programming model

Audience

AI infrastructure engineers looking for a solution to optimize the deployment and serving of large-scale language models in production environments

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/cuda-zone

Company Information

VLLM
United States
docs.vllm.ai/en/latest/

Alternatives

NVIDIA NIM

NVIDIA NIM

NVIDIA

Alternatives

OpenVINO

OpenVINO

Intel
OpenVINO

OpenVINO

Intel
Mojo

Mojo

Modular

Categories

Categories

Integrations

AWS Marketplace
Amazon EC2 G4 Instances
Amp
Azure Marketplace
C
Coverity Static Analysis
Dataoorts GPU Cloud
HunyuanCustom
JarvisLabs.ai
KServe
Kubernetes
MATLAB
NVIDIA Brev
NVIDIA Isaac
NVIDIA Magnum IO
NVIDIA TensorRT
NeevCloud
OpenAI
PyTorch
RightNow AI

Integrations

AWS Marketplace
Amazon EC2 G4 Instances
Amp
Azure Marketplace
C
Coverity Static Analysis
Dataoorts GPU Cloud
HunyuanCustom
JarvisLabs.ai
KServe
Kubernetes
MATLAB
NVIDIA Brev
NVIDIA Isaac
NVIDIA Magnum IO
NVIDIA TensorRT
NeevCloud
OpenAI
PyTorch
RightNow AI
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