# Machine learning at scale

According to OpenAITools.app telemetry verified on 2026-09-08, Machine learning at scale (machinelearningatscale.com) is an AI platform indexed under Large Language Models (LLMs) generating 0 monthly visits with a month-over-month traffic delta of +0 (0%). Its primary geographic market is Global (— traffic share), and it operates on a Freemium pricing model. Top competing alternatives by monthly volume include ChatGPT (6B visits/mo), Google Gemini (3B visits/mo), DeepSeek (357.4M visits/mo).

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | Machine learning at scale |
| Handle | machine-learning-at-scale |
| Official Domain | machinelearningatscale.com |
| Website URL | https://machinelearningatscale.com |
| Categories | AI Tutorial, AI Course, Large Language Models (LLMs), AI Developer Tools |
| Pricing Model | Freemium |
| Monthly Visits | 0 |
| MoM Traffic Change | 0 |
| MoM Growth Rate | 0% |
| Primary Market | Global |
| Market Share | — |
| Direct Visits | 0 |
| Organic Search Visits | 0 |
| Social Visits | 0 |
| Referral Visits | 0 |
| Email Visits | 0 |
| Review Score | 5 |
| Saved Count | 2 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Freemium |
| Tags | Machine Learning, ML Systems, ML Engineering, LLMs, RAG Systems, LLM Optimization, LLM Training, ML System Design, Substack, Newsletter |

## Overview

Machine learning at scale is a Substack publication that helps engineers become x10 machine learning engineers through weekly high-quality insights. It covers MLSys case studies, design patterns, ML career advice, deep dives into machine learning systems, LLM inference at scale, recommendation systems at scale, search and ranking systems such as RAG, and ads systems at scale. It is written by Ludo, a machine learning engineer at Google whose experience includes large-scale ML systems, transformer-based models, YouTube Ads and recommendation systems, applied ML at CERN, and a computer vision thesis at Volvo. More than 10,000 machine learning engineers from leading companies subscribe, and an MLSys course is listed as coming soon.

## Pricing & Plans

Free newsletter with a paid subscription tier.

## Limitations

- Newsletter (Substack) rather than a software tool
- MLSys course is listed as coming soon

## Frequently Asked Questions

### What is Machine learning at scale's monthly traffic and growth trend?
Machine learning at scale currently receives 0 monthly visits, with a month-over-month traffic change of +0 (0% growth rate). Its primary source market is Global (— share), including 0 direct visits/mo and 0 organic search visits/mo.

### Is Machine learning at scale free? What is its pricing model?
Machine learning at scale operates on a Freemium pricing model. Free newsletter with a paid subscription tier. Supported billing and checkout platforms include: not listed.

### What are the best Machine learning at scale alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to Machine learning at scale are: 1. ChatGPT (6B visits/mo); 2. Google Gemini (3B visits/mo); 3. DeepSeek (357.4M visits/mo); 4. OpenAI Platform (259.46M visits/mo); 5. Google AI Studio (110.43M visits/mo).

### Which platforms and core AI capabilities does Machine learning at scale support?
Machine learning at scale is classified under Large Language Models (LLMs), AI Developer Tools, AI Course, AI Tutorial, supports the following platforms: Website, and its core capability tags include: Machine Learning, ML Systems, ML Engineering, LLMs, RAG Systems, LLM Optimization.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,000,000,000 | Freemium | [Compare](https://openaitools.app/compare/chatgpt-4-vs-machine-learning-at-scale) |
| [Google Gemini](https://openaitools.app/tool/gemini-gemini-advanced) | 3,000,000,000 | Freemium | [Compare](https://openaitools.app/compare/gemini-gemini-advanced-vs-machine-learning-at-scale) |
| [DeepSeek](https://openaitools.app/tool/deepseek) | 357,399,386 | Freemium | [Compare](https://openaitools.app/compare/deepseek-vs-machine-learning-at-scale) |
| [OpenAI Platform](https://openaitools.app/tool/openai) | 259,461,422 | Paid | [Compare](https://openaitools.app/compare/machine-learning-at-scale-vs-openai) |
| [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 110,427,056 | Freemium | [Compare](https://openaitools.app/compare/google-ai-studio-vs-machine-learning-at-scale) |
| [Perplexity](https://openaitools.app/tool/perplexity-ai) | 91,705,178 | Freemium | [Compare](https://openaitools.app/compare/machine-learning-at-scale-vs-perplexity-ai) |
| [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | Freemium | [Compare](https://openaitools.app/compare/machine-learning-at-scale-vs-qwen-4) |
| [Airtable AI Assistant](https://openaitools.app/tool/airtable-ai-assistant) | 25,813,226 | Freemium, Free Trial, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/airtable-ai-assistant-vs-machine-learning-at-scale) |
| [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 21,267,929 | Paid | [Compare](https://openaitools.app/compare/machine-learning-at-scale-vs-openrouter-ai) |
| [venice.ai](https://openaitools.app/tool/venice-ai) | 20,263,295 | Freemium | [Compare](https://openaitools.app/compare/machine-learning-at-scale-vs-venice-ai) |
| [Kimi AI](https://openaitools.app/tool/kimi-chat) | 20,000,000 | Free | [Compare](https://openaitools.app/compare/kimi-chat-vs-machine-learning-at-scale) |
| [Use AI](https://openaitools.app/tool/use-ai) | 9,750,913 | Free Trial, Paid | [Compare](https://openaitools.app/compare/machine-learning-at-scale-vs-use-ai) |

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Source: https://openaitools.app/tool/machine-learning-at-scale