Speakerguest

Anush Elangovan

@anushelangovan / appears on tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn, tbpn

calls0traced speaker calls

avg P&L0.0%per call

win rate0%resolved calls

total P&L0.0%expert engine

Verified record

58credibility1 resolved

win rate100%1W · 0L

resolved1settled on TRACE

scored calls1published & scoreable

Speaker record

[64:27]longAMDtbpn

AMD inference software is closing the gap on NVIDIA, turning Instinct GPUs into a credible second source and lifting datacenter share.

Got it. I'm sure the question that everyone is asking you is around how AI is, you know, speeding up the actual deployment of AI models onto other silicon stacks, other chipsets, AMD specifically. How is it going? What is real? How much acceleration are you feeling?

+62.30%open horizon

Agent-readable speaker

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