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Bringing AI into the data center starts with solving real-world enterprise challenges. Hear AMD SVP and GM of Compute and Enterprise AI Dan McNamara explain how AMD is helping organizations deploy AI to build what's next within existing power, cooling and space constraints.

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22,679 görüntüleme • 3 gün önce •via X (Twitter)

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Kate | Neuromancer profil fotoğrafı
Kate | Neuromancer3 gün önce

power, cooling and space constraints are the boring parts of ai infrastructure, but they’re also where the real bottlenecks are. if amd can squeeze more ai out of existing data centers, that’s a pretty useful upgrade.

BullBear.News profil fotoğrafı
BullBear.News3 gün önce

thermal density limits dictate enterprise hardware cycles far more than raw flops do

Vladislav Mikhalev profil fotoğrafı
Vladislav Mikhalev3 gün önce

🌞😉💯👍

· sophia h. profil fotoğrafı
· sophia h.3 gün önce

Well said!

Raven profil fotoğrafı
Raven3 gün önce

enterprise ai has entered the thermostat negotiation

TechGeekDavid profil fotoğrafı
TechGeekDavid3 gün önce

Most enterprise DCs I've worked with were built for 5-10kW racks. Inference at scale pushes past that fast, and liquid cooling retrofits or power upgrades take years to permit and commission.

Jay Komsa 🇺🇸 profil fotoğrafı
Jay Komsa 🇺🇸3 gün önce

Existing power/cooling/space constraints are becoming a credit filter: lenders underwrite energized IT MW and usable rack density, not nameplate GPU capacity. The financing unlock comes when deployment is bounded by contracted offtake and DSCR—not simply denser compute.

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