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Description

Axe Compute offers enterprise-level bare-metal GPU infrastructure tailored for AI and machine learning applications, featuring extensive global accessibility, dedicated clusters, and reliable access. Within around 48 hours, teams can receive dedicated GPU clusters at over 200 locations, allowing for complete flexibility in selecting region, GPU type, fabric, interconnect, and topology. This solution is specifically designed to tackle the often-overlooked challenges associated with scaling AI, including delays in provisioning, limited availability in the cloud, quota restrictions, inflexible provider economics, costs linked to data movement, and performance degradation due to virtualization. By providing 100% bare-metal access without any virtualization overhead or disruptive neighbors, Axe enables teams to effectively conduct LLM training, inference, diffusion, fine-tuning, enterprise deployment, and various other AI-related tasks with enhanced control. Additionally, its distributed GPU infrastructure ensures low-latency placement close to users and data, minimizing the necessity to transfer data to centralized cloud regions, thereby streamlining operations for teams working on complex AI projects.

Description

Lium serves as a platform where users can rent NVIDIA GPUs on an hourly basis, with various providers listing their machines, leading to competitive pricing driven by the marketplace dynamics. Customers have the flexibility to rent either an individual GPU or an entire 8-GPU node, and they can initiate a container in approximately one minute, gaining access through SSH and Jupyter. Current hourly rates are set at $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 occurring on a per-second basis, meaning a job that lasts 12 minutes will only charge for those 12 minutes. To facilitate deployment, Lium offers a command line interface and a Python SDK, along with a free public API that allows users to check live pricing and availability. New users are welcomed with a $5 credit, and the service operates without the need for contracts or minimum commitments. This platform is specifically designed to accommodate machine learning tasks, including training, fine-tuning, inference, and batch processing, particularly when traditional hyperscaler pricing models may not be favorable. By providing such accessible options, Lium empowers developers and researchers to efficiently utilize powerful GPU resources as needed.

API Access

Has API

API Access

Has API

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Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$0.16 per GPU per hour
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

Axe Compute

Country

United States

Website

axecompute.com

Vendor Details

Company Name

Lium

Website

lium.io

Product Features

Product Features

Alternatives

Alternatives