TickerTain
TickerTain
NewsroomShortsPortfolioConvergence
NewsroomShortsPortfolioConvergence
←
▶ 0:47 · $NVDA · AWS Trainium: How Amazon Built Their Own AI Chips | Researcher Conversations at GTC
episode briefing
SemiAnalysis

AWS Trainium: How Amazon Built Their Own AI Chips | Researcher Conversations at GTC

2026-04-30 · 3 company · 3 thematic
sentiment
3 bull0 bear0 neu
speakers
randa

Leads product marketing for AI infrastructure at AWS, discussing the company's 15-year Nvidia partnership, 2M GPU fleet expansion, Trainium 3 custom silicon roadmap, and Cerebras disaggregated inference partnership.

quote
“we offer about 2 million GPUs in in in the cloud, the largest missile provider to offer 2 million GPUs via cloud. And you know, and we and we mis- recently launched a blog saying that we're going to add another 1 million GPUs just this cal…”
—randa
now playing · $NVDA
$NVDA···bullish· highranda
AWS to add 1M Nvidia GPUs in 2026, deepening 15-year partnership
AWS is expanding its Nvidia GPU fleet by 50% in a single year, signaling massive sustained demand for Nvidia hardware and a deepening strategic partnership that includes upcoming…
$AMZN···bullish· high· posranda
AWS Trainium 3 delivers 30-40% better price-performance, scaling to 1M+ chips in 2026
Amazon's custom Trainium 3 chips offer 2-3x performance over prior generation and 30-40% better price-performance vs alternative accelerators, with plans to deploy 1M+ chips in 20…
$CBRS···bullish· mediumranda
AWS partners with Cerebras for disaggregated prefill-decoding inference architecture
AWS and Cerebras are collaborating on a disaggregated inference architecture separating prefill and decode stages to drive down dollar-per-token costs for customers deploying GenA…