{"version":"1.0","type":"rich","provider_name":"techandbusiness.org","provider_url":"https://techandbusiness.org","title":"Nvidia details multi-GPU cuOpt solver with lower memory requirements","author_name":"techandbusiness.org · Infrastructure","thumbnail_url":"https://developer-blogs.nvidia.com/wp-content/uploads/2026/10/geometric-structure-1.webp","width":600,"height":400,"html":"<blockquote class=\"tb-newswire-embed\" style=\"max-width:600px;border-left:3px solid #22d3ee;padding:12px 16px;margin:0;font-family:-apple-system,system-ui,sans-serif;background:#09090b;border-radius:0 8px 8px 0;\">\n      <p style=\"margin:0 0 8px;font-size:10px;font-weight:600;letter-spacing:0.1em;color:#71717a;\">techandbusiness.org · Infrastructure</p>\n      <p style=\"margin:0 0 8px;font-size:18px;font-weight:700;line-height:1.3;color:#fff;\"><a href=\"https://techandbusiness.org/newswire/K-rNFl6QIvj1zIFSCgBrbE\" style=\"color:#fff;text-decoration:none;\">Nvidia details multi-GPU cuOpt solver with lower memory requirements</a></p>\n      <p style=\"margin:0;font-size:14px;color:#a1a1aa;line-height:1.5;\">Nvidia introduced a multi-GPU solver for cuOpt that distributes linear programming problems across NVLink-connected GPUs. These models find an optimum under constraints, supporting tasks such as suppl...</p>\n    </blockquote>"}