Modal vs NodeShift Comparison in 2025

Modal

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Effortless cloud compute for AI & Python. Run any code instantly on GPUs with Modal's serverless platform. Scale fast, pay per second.

NodeShift

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Secure AI cloud & compute. Deploy LLMs easily, save up to 82% on VMs & GPUs. Privacy-focused, globally distributed. Try NodeShift!

Modal

Launched	1999-03
Pricing Model	Paid
Starting Price
Tech used	Google Analytics,Google Tag Manager,Vercel,HSTS
Tag	Developer Tools,Inference Apis

NodeShift

Launched	2015-10
Pricing Model	Paid
Starting Price
Tech used	Google Tag Manager,Cloudflare CDN,Next.js,Gzip,HTTP/3,Webpack
Tag	Infrastructure,Software Development,Data Science

Modal Rank/Visit

Global Rank	73995
Country	United States
Month Visit	469509

Top 5 Countries

38.54%

11.85%

6.53%

2.83%

2.49%

United States India Brazil Germany China

Traffic Sources

3.19%

0.5%

0.06%

6.92%

37.26%

52.06%

social paidReferrals mail referrals search direct

NodeShift Rank/Visit

Global Rank	723737
Country	United States
Month Visit	45398

Top 5 Countries

8.02%

7.72%

6.34%

5.94%

5.11%

United States Canada India Russia Vietnam

Traffic Sources

4.3%

0.91%

0.14%

8.29%

49.13%

37.09%

social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Modal and NodeShift, you can also consider the following products

Lambda - Accelerate your AI development with Lambda AI Cloud. Get high-performance GPU compute, pre-configured environments, and transparent pricing.

Hyperpod AI - Hyperpod: Transform your AI models into scalable APIs in minutes. Serverless deployment, intelligent auto-scaling, and no DevOps complexity.

Inferless - Lowest cold-starts to deploy any machine learning model in production stress-free. Scale from single user to billions and only pay when they use.

RunPod - Save over 80% on GPUs. GPU rental made easy with Jupyter for Tensorflow, PyTorch or any other AI framework.

Beam.cloud - Beam is a serverless platform for generative AI. Deploy inference endpoints, train models, run task queues. Fast cold starts, pay-per-second. Ideal for AI/ML workloads.