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Compute Prices is a comprehensive platform designed to assist users in comparing cloud GPU pricing across various providers. It enables users to evaluate the most cost-effective options for their machine learning workloads by providing detailed specifications and pricing information. With a user-friendly interface, users can easily navigate through different cloud providers and select the best GPU for their needs.
VS Code
ComputePrices.comNo ComputePrices.com videos yet. You could help us improve this page by suggesting one.
ComputePrices.com's answer:
The most data, easiest access, full transparency
ComputePrices.com's answer:
AI startups, ML engineers and financial institutions
ComputePrices.com's answer:
The worlds largest and most up to date collection of AI providers and their prices
Based on our record, VS Code seems to be a lot more popular than ComputePrices.com. While we know about 1215 links to VS Code, we've tracked only 3 mentions of ComputePrices.com. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Visual Studio Code, a code editor created by Microsoft, was first introduced on April 29, 2015, at the Build conference. - Source: dev.to / 19 days ago
The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / about 1 month ago
For IDE-heavy teams, BYOK (bring your own key) can be interesting, no matter whether you live in WebStorm or VS Code. On the JetBrains side, the JetBrains AI plans and Junie BYOK docs allow it, and most VS Code AI extensions offer the same idea: keep the IDE, connect provider keys, pay the provider. - Source: dev.to / about 2 months ago
Option 1: Raw editing in IDE. You open the .md file in VS Code or whatever you use. Syntax highlighting shows you the structure. Maybe you toggle a preview pane. This works for quick edits but becomes painful for anything involving tables, diagrams, or complex formatting. - Source: dev.to / about 2 months ago
You'll need Python 3.8+ and pip for the quickstart, with venv recommended for isolation. Install the requests library for HTTP calls. VS Code with the Python extension works well as an editor, though PyCharm or Sublime Text work equally well. You'll also need a free Foxit developer account. - Source: dev.to / about 2 months ago
For over a year now, Iโve been working on Compute Prices (https://computeprices.com). Itโs been a great way for me to better understand the cloud GPU industry, learn about data collection, normalization and use agentic coding to build a side project. One thing Iโm working on is distinguishing spot vs on demand prices and listing those separately. Also, including inference pricing for non-text AI models. What... - Source: Hacker News / 5 months ago
Https://computeprices.com | Daily cloud GPU prices. Been collecting and growing the list of providers since the start of the year. Over 30 providers now added. - Source: Hacker News / 10 months ago
Iโve been researching cloud GPU providers and collecting per hour prices at https://computeprices.com. My thesis is that the next few decades will be driven by the prices of compute and kWh. This is my way of getting a better understanding of the ecosystem. - Source: Hacker News / about 1 year ago
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