How NVIDIA Uses ramp
4 engineering articles about ramp from NVIDIA's engineering team
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As agentic and long-context workloads become common, the context lengths increase and attention consumes a larger share of inference time (Figure 1).
As AI workloads increase, explosive compute demand is pushing the semiconductor industry to meet unprecedented performance targets. Even small delays can have…
Tanya Lenz
6 min read
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AI factories are changing what data-center infrastructure must do. Unlike traditional data centers, AI factories are built to manufacture intelligence at scale.
Sean James
12 min read
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Coding agents are starting to write production code at scale. Stripe’s agents generate 1,300+ PRs per week. Ramp attributes 30% of merged PRs to agents.
Ishan Dhanani
16 min read
Includes Code
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