Nvidia Accelerates Chip Engineering with AI Agents
Tim Costa, vice president and general manager of computational engineering at Nvidia, put it in terms that go beyond simply scaling to meet demand. NEXTPLATFORM AD googletag.cmd.push(function() { googletag.display('labrador/nextplatform/article/desktop/b'); }); Speaking with journalists in a video call, Costa noted that by 2030 the industry is expected to produce 2 trillion chips and process about 41 million wafers a month. In addition, individual packages are approaching a trillion transistors while entire computing systems are on their way to transistor counts that will reach into the quadrillions.
- ▪Tim Costa, vice president and general manager of computational engineering at Nvidia, put it in terms that go beyond simply scaling to meet demand.
- ▪NEXTPLATFORM AD googletag.cmd.push(function() { googletag.display('labrador/nextplatform/article/desktop/b'); }); Speaking with journalists in a video call, Costa noted that by 2030 the industry is expected to produce 2 trillion chips and p
- ▪In addition, individual packages are approaching a trillion transistors while entire computing systems are on their way to transistor counts that will reach into the quadrillions.
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| Original publisher | nextplatform |
| Canonical URL | https://www.nextplatform.com/hpc/2026/07/27/nvidia-accelerates-chip-engineering-with-ai-agents/5279125 |
| Publication time | Mon, 27 Jul 2026 19:52:22 +0000 |
| Retrieval time | 2026-07-27T20:18:59.062Z |
| Last seen | 2026-07-27T20:18:59.062Z |
| Headline source | Publisher (no WeSearch rewrite) |
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| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
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| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
(function() { let windowUrl = window.location.href; windowUrl = windowUrl.substring(windowUrl.indexOf('?') + 1); let messageElement = document.querySelector('.shareableMessage'); if (windowUrl && windowUrl.includes('code') && windowUrl.includes('expires')) { messageElement.style.display = 'block'; } })(); Nvidia Accelerates Chip Engineering With AI Agents Jeff Burt Jeff Burt Published mon 27 Jul 2026 // 19:04 UTC More than a decade ago, Nvidia turned its full focus on artificial intelligence, and since then has been churning out GPUs – and now CPUs – and other hardware designed to power AI systems as well as a wealth of software libraries through CUDA-X and a family of AI models with under the Nemotron umbrella.
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