vLLM Xilinx

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vLLM:

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.
Xilinx:

About

The Xilinx’s AI development platform for AI inference on Xilinx hardware platforms consists of optimized IP, tools, libraries, models, and example designs. It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on Xilinx FPGA and ACAP. Supports mainstream frameworks and the latest models capable of diverse deep learning tasks. Provides a comprehensive set of pre-optimized models that are ready to deploy on Xilinx devices. You can find the closest model and start re-training for your applications! Provides a powerful open source quantizer that supports pruned and unpruned model quantization, calibration, and fine tuning. The AI profiler provides layer by layer analysis to help with bottlenecks. The AI library offers open source high-level C++ and Python APIs for maximum portability from edge to cloud. Efficient and scalable IP cores can be customized to meet your needs of many different applications.
vLLM:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Xilinx:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
vLLM:

Audience

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

Audience

Developers requiring an adaptable and real-time AI inference acceleration solution to build accelerated applications
vLLM:

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported
Xilinx:

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported
vLLM:

API

Offers API Supported
Xilinx:

API

Offers API Supported
vLLM:

Screenshots and Videos

Xilinx:

Screenshots and Videos

vLLM:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
Xilinx:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
vLLM:

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
Xilinx:

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
vLLM:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
Xilinx:

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported
vLLM:

Company Information

vLLM
United States
vllm.ai
Xilinx:

Company Information

Xilinx
Founded: 1984
United States
www.xilinx.com/products/design-tools/vitis/vitis-ai.html
vLLM:

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vLLM:
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vLLM:

Categories

AI Inference Supported
Xilinx:

Categories

AI Development Supported
AI Fine-Tuning Supported
AI Inference Supported
Machine Learning Supported
vLLM:

Integrations

Allegro X Design Platform Not Supported
Amazon Web Services (AWS) Not Supported
DocsGPT Supported
Hugging Face Supported
Kubernetes Supported
LDRA Tool Suite Not Supported
LFM3 Supported
ModelLane Supported
ModelSim Not Supported
NGINX Supported
Nemotron 3.5 Bolt Supported
Nemotron 3.5 Super VL Supported
Nemotron 3.5 Transcribe Supported
OpenAI Supported
OptScale AI Supported
PyTorch Supported
Recursive Flint Supported
Shift-Left API Supported
Thunder Compute Supported
ZEDEDA Not Supported
Xilinx:

Integrations

Allegro X Design Platform Supported
Amazon Web Services (AWS) Supported
DocsGPT Not Supported
Hugging Face Not Supported
Kubernetes Not Supported
LDRA Tool Suite Supported
LFM3 Not Supported
ModelLane Not Supported
ModelSim Supported
NGINX Not Supported
Nemotron 3.5 Bolt Not Supported
Nemotron 3.5 Super VL Not Supported
Nemotron 3.5 Transcribe Not Supported
OpenAI Not Supported
OptScale AI Not Supported
PyTorch Not Supported
Recursive Flint Not Supported
Shift-Left API Not Supported
Thunder Compute Not Supported
ZEDEDA Supported
vLLM:
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Claim vLLM and update features and information
Xilinx:
Claim Xilinx and update features and information
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