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What is Lium?

Lium is a rental platform that allows users to lease NVIDIA GPUs on an hourly basis, featuring a variety of providers who list their hardware, which fosters competitive pricing through market forces. Users have the option to rent a single GPU or a full 8-GPU node, with the ability to launch a container in about a minute, granting them SSH and Jupyter access. The current hourly prices are $0.16 for an RTX 3090, $0.27 for an RTX 4090, $0.49 for an RTX 5090, and $4.23 for an H200, with billing calculated on a per-second basis, meaning that a job lasting 12 minutes will only incur charges for that exact time. To aid in deployment, Lium provides a command line interface and a Python SDK, along with a complimentary public API that enables users to monitor real-time pricing and availability. New customers receive a welcome credit of $5, and there are no contracts or minimum commitments required for service usage. This platform is tailored specifically for machine learning applications such as training, fine-tuning, inference, and batch processing, particularly when conventional hyperscaler pricing structures may not be advantageous. By offering such flexible and accessible services, Lium empowers both developers and researchers to make effective use of high-performance GPU resources as necessary, ultimately enhancing productivity in computational tasks. This approach not only democratizes access to cutting-edge technology but also supports innovation in various fields reliant on machine learning.

What is Baseten?

Baseten is an advanced platform engineered to provide mission-critical AI inference with exceptional reliability and performance at scale. It supports a wide range of AI models, including open-source frameworks, proprietary models, and fine-tuned versions, all running on inference-optimized infrastructure designed for production-grade workloads. Users can choose flexible deployment options such as fully managed Baseten Cloud, self-hosted environments within private VPCs, or hybrid models that combine the best of both worlds. The platform leverages cutting-edge techniques like custom kernels, advanced caching, and specialized decoding to ensure low latency and high throughput across generative AI applications including image generation, transcription, text-to-speech, and large language models. Baseten Chains further optimizes compound AI workflows by boosting GPU utilization and reducing latency. Its developer experience is carefully crafted with seamless deployment, monitoring, and management tools, backed by expert engineering support from initial prototyping through production scaling. Baseten also guarantees 99.99% uptime with cloud-native infrastructure that spans multiple regions and clouds. Security and compliance certifications such as SOC 2 Type II and HIPAA ensure trustworthiness for sensitive workloads. Customers praise Baseten for enabling real-time AI interactions with sub-400 millisecond response times and cost-effective model serving. Overall, Baseten empowers teams to accelerate AI product innovation with performance, reliability, and hands-on support.

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Integrations Supported

Integrations Supported

BGE
DeepSeek R1
DeepSeek-V3
LiteLLM
Llama 3.1
Llama 3.2
Llama 3.3
Llama 4 Maverick
Llama 4 Scout
MARS6
Mixedbread
Nomic Embed
OpenAI Whisper
Orpheus TTS
Qwen3
Stable Diffusion
Stable Diffusion XL (SDXL)
Tülu 3
Vision Agents
ZenCtrl

API Availability

API Availability

Has API

Pricing Information

$0.16 per GPU per hour

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Lium

Company Website

lium.io

Company Facts

Organization Name

Baseten

Date Founded

2019

Company Location

United States

Company Website

www.baseten.co

Categories and Features

Cloud GPU

Not specified

Categories and Features

AI Cloud Providers

Not specified

AI Inference

Not specified

AI Infrastructure

Not specified

Cloud GPU

Not specified

ML Model Deployment

Not specified

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