Liumlium.io
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Related Products
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About
Agent-first GPU cloud. Rent NVIDIA GPUs via web, CLI, SDK, or API. Providers earn 95% rental revenue + bonuses.
lium.io connects developers, research teams and AI agents with independent GPU providers. Rent a single GPU or a full 8-GPU node for training, fine-tuning, inference and batch jobs, with SSH and Jupyter access.
Deploy through the web, CLI, Python SDK, API or MCP integration. Billing is per second, with usage-based marketplace prices and no minimum commitment. View live rates and availability on the live pricing page; prices change with supply. Choose Secure or Spot GPU capacity to fit your workload.
New accounts can receive $5 of credit after passing signup checks. Have idle GPUs? Set your own rental prices and list capacity in the provider portal. Documentation and developer guides are available.
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About
Together AI provides an AI-native cloud platform built to accelerate training, fine-tuning, and inference on high-performance GPU clusters. Engineered for massive scale, the platform supports workloads that process trillions of tokens without performance drops. Together AI delivers industry-leading cost efficiency by optimizing hardware, scheduling, and inference techniques, lowering total cost of ownership for demanding AI workloads. With deep research expertise, the company brings cutting-edge models, hardware, and runtime innovations—like ATLAS runtime-learning accelerators—directly into production environments. Its full-stack ecosystem includes a model library, inference APIs, fine-tuning capabilities, pre-training support, and instant GPU clusters. Designed for AI-native teams, Together AI helps organizations build and deploy advanced applications faster and more affordably.
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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
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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
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Audience
ML engineers, AI researchers, startups and AI agents renting NVIDIA GPUs on demand; GPU providers monetizing idle capacity.
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Audience
Together AI is ideal for AI-native teams, researchers, and enterprises that require high-performance GPU infrastructure, frontier-scale model training, and cost-optimized inference at massive scale
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and VideosNo images available
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Screenshots and Videos |
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Pricing
$0.40 per GPU per hour
Usage-based marketplace pricing, billed per second. Providers set their own GPU-hour rates, which vary with supply. Check the live pricing page for current rates and availability. No minimum commitment. New accounts can receive $5 of credit after passing signup checks.
Free Version
Not Supported
Free Trial
Supported
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Pricing
$0.0001 per 1k tokens
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company Informationlium.io
lium.io
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Company InformationTogether AI
Founded: 2022
United States
www.together.ai/
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Categories |
Categories |
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Integrations
Assembly
Not Supported
DeepCoder
Not Supported
DeepSeek-V4
Not Supported
DeepSeek-V4-Flash
Not Supported
DeepSeek-V4-Pro
Not Supported
GLM-5.3
Not Supported
LFM2
Not Supported
LLM Gateway
Not Supported
Langtail
Not Supported
LiteLLM
Not Supported
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Integrations
Assembly
Supported
DeepCoder
Supported
DeepSeek-V4
Supported
DeepSeek-V4-Flash
Supported
DeepSeek-V4-Pro
Supported
GLM-5.3
Supported
LFM2
Supported
LLM Gateway
Supported
Langtail
Supported
LiteLLM
Supported
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