Jellyfish Reports Analysis of 100 Million Pull Requests
Jellyfish said in a press release that its platform has analyzed more than 100 million pull requests from over 275,000 software engineers. It has also processed more than 90 million prompts and 150 trillion tokens, providing data on coding assistant usage, token spending and return on investment.
The platform runs on Amazon Web Services, is available through AWS Marketplace and combines AI usage signals with source control, work tracking and software delivery data. Jellyfish also received the AWS Generative AI Competency, which recognizes its technical capabilities and customer deployments involving generative AI.
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Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
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