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Description
Geodd is a seasoned operator in AI inference, offering solutions such as serverless inference, dedicated inference, and specialized GPU infrastructure tailored for AI production workloads. With DeployPad, users can easily deploy compatible models, oversee inference services, and leverage Geodd’s infrastructure, all from a centralized platform. The company's physical data center infrastructure and technical expertise encompass GPU operations, model deployment, runtime engineering, and AI-driven optimization techniques. Geodd employs autonomous AI agents that utilize hardware-specific LLMs developed in-house to create validated optimizations, enhancing the efficiency, consistency, and reliability of models from the foundational infrastructure to the point of execution. This innovative approach not only streamlines operations but also ensures that clients can achieve optimal performance in their AI applications.
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
API Access
Has API
Screenshots View All
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Integrations
Database Mart
Docker
Hugging Face
KServe
Kubernetes
NGINX
NVIDIA DRIVE
OpenAI
PyTorch
Thunder Compute
Integrations
Database Mart
Docker
Hugging Face
KServe
Kubernetes
NGINX
NVIDIA DRIVE
OpenAI
PyTorch
Thunder Compute
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Geodd
Founded
2023
Country
United States
Website
geodd.io
Vendor Details
Company Name
vLLM
Country
United States
Website
vllm.ai