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Graphcore

IPUs built for ML training.

★★★★☆ 4.4 2,100 saves Starting price: Custom hardware and cloud

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Graphcore builds IPUs for training large ML models efficiently.

Researchers use it to accelerate training and test new architectures.

In-depth review

IPUs built for ML training. Graphcore competes in the AI Model Training category, where our editors have reviewed 294 tools so far. It has been bookmarked by 2,100 readers, making it one of the most discussed options in its class. This in-depth review breaks down exactly where Graphcore shines, where it falls short, and who should choose it.

In real-world use, Graphcore's clearest strengths are IPU acceleration; Efficient training; Research partnerships. These advantages matter most for Accelerating training, Testing architectures, Scaling research, Running benchmarks — the exact workload Graphcore was designed around. Readers who prioritise these qualities consistently rank it among their favourites in AI Model Training.

No tool is perfect — before you commit, weigh Hardware niche; Access is limited. Graphcore pricing starts at Custom hardware and cloud. Always confirm the latest plans on the official website, because prices change often. With no free tier available, compare the alternatives carefully before spending. Graphcore is a solid, well-reviewed choice in AI Model Training and deserves a place on your shortlist.

How Graphcore compares

Graphcore is rated 4.4 out of 5, below the AI Model Training category average of 4.5 across 294 rated tools. Its closest alternatives are Entry Point AI, Roboflow, Labelbox. Popular alternatives include Entry Point AI, Roboflow, Labelbox. Compare their pricing, ratings, and reviews before you decide.

Pricing

Graphcore pricing starts at Custom hardware and cloud. Always confirm the latest plans on the official website, because prices change often.