Cursor
The best way to code with AI
VS
Ironwood Tensor Processing Unit (TPU)
Google's 7th-gen custom AI accelerator for super large-scale training and inference.
Popularity
Cursor13,673
Ironwood Ten...3,131
Pricing
FreemiumCursor
PaidIronwood T...
Features
4
Cursor
vs
4
Ironwood T...
Our verdict
Cursor is significantly more popular in terms of media coverage and engagement.
If you're on a budget, Cursor offers free access.
Cursor is more geared toward b2b users, while Ironwood Tensor Processing Unit (TPU) targets B2B.
Cursor offers an API for integration into your workflows.
Detailed comparison
Criteria
Cursor
Ironwood Tensor Processing Unit (TPU)
Pricing
Freemium
Paid
Plans & pricing
Hobby: Free, Pro: $16/mo, Pro+: $48/mo, Ultra: $200/mo, Teams: $32/mo, Enterprise: Custom, Bugbot Free: Free, Bugbot Pro: $40/mo
—
Free trial
Yes
—
Audience
b2b
B2B
Platforms
Desktop, Web, Ios, Android, Cli, Api
—
API
Yes
—
Open Source
Proprietary
—
Integrations
Github, Slack, Linear, Jira, Sourcegraph, Temporal, Dagster, Opensearch, Jetbrains, Figma, Canva, Miro, Dovetail, Zeplin, Notion, Google-drive, Dropbox, Google-workspace, Workday, Salesforce
—
Categories
Dev Tools
Data Science, Dev Tools
Popularity
Very High
Moderate
Description
Cursor is an AI-native code editor built to make you extraordinarily productive. It offers advanced AI features to streamline your software development workflow, acting as the best way to build software with AI.
Ironwood is Google's seventh-generation Tensor Processing Unit (TPU), designed as a custom AI accelerator for large-scale AI training and inference. Optimized for demanding AI workloads like super large LLMs and Mixture-of-Experts (MoE) models, it powers inferential AI at scale. Targeting B2B enterprises and developers via Google Cloud, Ironwood offers significant performance gains, massive HBM capacity, and enhanced interconnects, enabling the age of inference.
Pricing
Cursor
Freemium
Ironwood Tensor Processing Unit (TPU)
Paid
Plans & pricing
Cursor
Hobby: Free, Pro: $16/mo, Pro+: $48/mo, Ultra: $200/mo, Teams: $32/mo, Enterprise: Custom, Bugbot Free: Free, Bugbot Pro: $40/mo
Ironwood Tensor Processing Unit (TPU)
—
Free trial
Cursor
Yes
Ironwood Tensor Processing Unit (TPU)
—
Audience
Cursor
b2b
Ironwood Tensor Processing Unit (TPU)
B2B
Platforms
Cursor
Desktop, Web, Ios, Android, Cli, Api
Ironwood Tensor Processing Unit (TPU)
—
API
Cursor
Yes
Ironwood Tensor Processing Unit (TPU)
—
Open Source
Cursor
Proprietary
Ironwood Tensor Processing Unit (TPU)
—
Integrations
Cursor
Github, Slack, Linear, Jira, Sourcegraph, Temporal, Dagster, Opensearch, Jetbrains, Figma, Canva, Miro, Dovetail, Zeplin, Notion, Google-drive, Dropbox, Google-workspace, Workday, Salesforce
Ironwood Tensor Processing Unit (TPU)
—
Categories
Cursor
Dev Tools
Ironwood Tensor Processing Unit (TPU)
Data Science, Dev Tools
Popularity
Cursor
Very High
Ironwood Tensor Processing Unit (TPU)
Moderate
Description
Cursor
Cursor is an AI-native code editor built to make you extraordinarily productive. It offers advanced AI features to streamline your software development workflow, acting as the best way to build software with AI.
Ironwood Tensor Processing Unit (TPU)
Ironwood is Google's seventh-generation Tensor Processing Unit (TPU), designed as a custom AI accelerator for large-scale AI training and inference. Optimized for demanding AI workloads like super large LLMs and Mixture-of-Experts (MoE) models, it powers inferential AI at scale. Targeting B2B enterprises and developers via Google Cloud, Ironwood offers significant performance gains, massive HBM capacity, and enhanced interconnects, enabling the age of inference.
Features
Cursor
AI Agents
Code Review
AI-powered Tab Completions
Shared Chats and Commands
Ironwood Tensor Processing Unit (TPU)
Significant performance gains and power efficiency (2x faster than Trillium).
Massive 192 GB HBM capacity per chip (6x Trillium) and 7.37 TB/s HBM bandwidth.
Optimized for large-scale LLMs, generative AI, and MoE models.
Scales up to 9,216 chips per pod, delivering 42.5 Exaflops of compute power.
Key differentiators
Cursor
- AI-Native Architecture
- Deep Codebase Understanding
- Agentic AI Capabilities
- User-Centric Productivity Focus
- Flexible Model Support
Ironwood Tensor Processing Unit (TPU)
Other comparisons
FAQ: Cursor vs Ironwood Tensor Processing Unit (TPU)
Cursor: The best way to code with AI. Ironwood Tensor Processing Unit (TPU): Google's 7th-gen custom AI accelerator for super large-scale training and inference.. Both tools take different approaches to address similar needs.
Cursor offers a freemium plan, while Ironwood Tensor Processing Unit (TPU) is a paid tool.
The best choice between Cursor and Ironwood Tensor Processing Unit (TPU) depends on your specific needs. Compare their features, pricing, and target audience on this page to find the tool that best fits your use case.
Cursor is primarily designed for individuals, while Ironwood Tensor Processing Unit (TPU) is built for businesses and professionals.
Cursor offers: AI Agents, Code Review, AI-powered Tab Completions, Shared Chats and Commands. Ironwood Tensor Processing Unit (TPU) offers: Significant performance gains and power efficiency (2x faster than Trillium)., Massive 192 GB HBM capacity per chip (6x Trillium) and 7.37 TB/s HBM bandwidth., Optimized for large-scale LLMs, generative AI, and MoE models., Scales up to 9,216 chips per pod, delivering 42.5 Exaflops of compute power..
Based on our data, Cursor currently enjoys greater popularity. However, popularity isn't the only factor — compare features to find the right tool for your needs.
Cursor offers a free trial, but Ironwood Tensor Processing Unit (TPU) does not.
Cursor offers 20 integrations (github, slack, linear, jira, sourcegraph...) compared to 0 for Ironwood Tensor Processing Unit (TPU).