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Scaling enterprise AI takes performance, flexibility and efficiency. Hear AT&T CTO Jeremy Legg share how AMD solutions are helping AT&T support post-training and inference workloads while prioritizing AI data sovereignty and cost efficiency.

24,133 次观看 • 1 个月前 •via X (Twitter)

6 条评论

AT&T 的头像
AT&T1 个月前

Scaling smarter, not harder 🧠

Higor 的头像
Higor1 个月前

@ATT Get the AI to do mfg with correct framepacing and FSR 4 in Vulkan for us. When?

J. LEE 的头像
J. LEE1 个月前

@ATT Impressive how AMD solutions are addressing critical enterprise AI needs like data sovereignty and cost efficiency for AT&T.

RStorm 2023 的头像
RStorm 20231 个月前

@ATT Sovereignty is the real upsell. I'd buy control before marginal token cost, once the compliance math holds.

J. LEE 的头像
J. LEE1 个月前

@ATT Prioritizing data sovereignty while scaling inference is a smart move for enterprise AI efficiency.

Apex Tech Outlet 的头像
Apex Tech Outlet1 个月前

@ATT Post training and inference at carrier scale is where efficiency numbers stop being theoretical.

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