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Tel Aviv startup DoubleAI has released its debut code-execution model, which it says can help companies lower computing costs by improving GPU and CPU performance. The Wall Street Journal reports that the company raised $220 million and acquired 1,000 Nvidia B300 chips.
Why it mattersThat is a sizeable debut, and a clear bet on making AI computing more efficient. The practical test is whether the model delivers savings on real workloads, not just a compelling pitch.
Discuss: Should AI companies prioritise making computing cheaper, or spend first on building more powerful models?
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