About
We built a container system from scratch in rust for the fastest cold-start times. Scale to hundreds of GPUs and back down to zero in seconds, and pay only for what you use. Deploy functions to the cloud in seconds, with custom container images and hardware requirements. Never write a single line of YAML. Startups and academic researchers can get up to $25k free compute credits on Modal. These credits can be used towards GPU compute and accessing in-demand GPU types. Modal measures the CPU utilization continuously in terms of the number of fractional physical cores, each physical core is equivalent to 2 vCPUs. Memory consumption is measured continuously. For both memory and CPU, you only pay for what you actually use, and nothing more.
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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.
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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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Companies looing for a solution to run generative AI models
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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
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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
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0.192 per core per hour
Free Version
Free Trial
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Pricing
$0.40 per hour
Free Version
Free Trial
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Pricing
$0.0001 per 1k tokens
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationModal Labs
United States
modal.com
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Company InformationRunPod
Founded: 2022
United States
www.runpod.io
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Company InformationTogether AI
Founded: 2022
United States
www.together.ai/
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Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
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Integrations
Amazon Web Services (AWS)
Assembly
Continue
DeepSWE
EXAONE
Google Cloud Platform
Kimi K2.7 Code
Llama 3.2
LlamaCoder
Metorial
|
Integrations
Amazon Web Services (AWS)
Assembly
Continue
DeepSWE
EXAONE
Google Cloud Platform
Kimi K2.7 Code
Llama 3.2
LlamaCoder
Metorial
|
Integrations
Amazon Web Services (AWS)
Assembly
Continue
DeepSWE
EXAONE
Google Cloud Platform
Kimi K2.7 Code
Llama 3.2
LlamaCoder
Metorial
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