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Local AI app and developer runtime for running, chatting with, and serving open models privately.
IPU
IPU is AI compute hardware for training, inference, and high-performance model execution from Graphcore. Built by Graphcore in United Kingdom, it is commonly used for model training, inference acceleration, AI infrastructure planning.
IP
IPULive preview unavailable
What to know
Key features
- AI hardware acceleration
- Compute optimization
- Performance-focused architecture
Best for
- model training
- inference acceleration
- AI infrastructure planning
Pros
- Important for serious AI infrastructure
- Designed for performance-sensitive workloads
Cons
- Not directly useful without a larger technical stack
IPU FAQ
What is IPU used for?
IPU is commonly used for model training, inference acceleration, AI infrastructure planning.
Is IPU free?
IPU uses custom pricing.
How do I compare IPU with alternatives?
Review pricing, feature coverage, ratings, and similar tools on this page before visiting the product site.
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