RunPod vs. VLLM Comparison


RunPod	VLLM	+	+
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About RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. RunPod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure.		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 RunPod is designed for AI developers, data scientists, and organizations looking for a scalable, flexible, and cost-effective solution to run machine learning models, offering on-demand GPU resources with minimal setup time		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 View more images or videos		Screenshots and Videos View more images or videos
Pricing $0.40 per hour Free Version Free Trial		Pricing No information available. Free Version Free Trial
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews		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 RunPod Founded: 2022 United States www.runpod.io		Company Information VLLM United States docs.vllm.ai/en/latest/
Alternatives DigitalOcean		Alternatives OpenVINO Intel
Amazon EC2 G4 Instances Amazon		NVIDIA TensorRT NVIDIA
Atlantic.Net		Tensormesh
Vertex AI Google		LMCache
Intel Tiber AI Cloud Intel View All		Qwen2.5-1M Alibaba View All
Categories AI Development AI Fine-Tuning AI Inference AI Infrastructure AI/ML Model Training Auto Scaling Cloud GPU Function as a Service (FaaS) Infrastructure-as-a-Service (IaaS) LLM API Machine Learning ML Model Deployment Serverless		Categories AI Inference

Integrations Docker PyTorch Axolotl Codestral DeepSeek Coder EXAONE Google Cloud Platform Hermes 3 Hugging Face KServe Kubernetes Llama 2 Llama 3 Microsoft Azure Mistral AI Phi-2 Phi-3 TensorFlow TinyLlama WaveSpeedAI Show More Integrations View All 29 Integrations		Integrations Docker PyTorch Axolotl Codestral DeepSeek Coder EXAONE Google Cloud Platform Hermes 3 Hugging Face KServe Kubernetes Llama 2 Llama 3 Microsoft Azure Mistral AI Phi-2 Phi-3 TensorFlow TinyLlama WaveSpeedAI Show More Integrations View All 9 Integrations
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