TSMC COUPE Goes Commercial, Cloud GPU Controls & Inference Economics Shift
カートのアイテムが多すぎます
ご購入は五十タイトルがカートに入っている場合のみです。
カートに追加できませんでした。
しばらく経ってから再度お試しください。
ウィッシュリストに追加できませんでした。
しばらく経ってから再度お試しください。
ほしい物リストの削除に失敗しました。
しばらく経ってから再度お試しください。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
TSMC COUPE Goes Commercial, Cloud GPU Controls & Inference Economics Shift
-
ナレーター：
-
著者：
(00:00:56) CPO Volume Production Risks
(00:01:37) Memory Becomes Architecture Layer
(00:02:24) Export Controls Target Cloud Access
(00:03:20) B300 Diversion Indictments
(00:03:45) Inference Economics Shift
(00:04:29) Key Signals to Watch
TSMC has moved co-packaged optics from concept to commercial production, and this morning's briefing unpacks what that means for the entire AI infrastructure stack. At SEMICON Taiwan 2026, TSMC's COUPE platform — a co-packaged optics architecture replacing copper interconnects with integrated fiber arrays — took centre stage alongside a Memory Executive Summit that reframed HBM and DRAM as architecture decisions rather than commodity purchases. The two stories are coupled: getting data off chip faster only creates value if the memory system keeps pace, and global memory revenues are tracking toward $440 billion by 2026.
On the policy front, the Commerce Department is drafting a cloud-access rule targeting remote GPU usage in third-country data centres — specifically Thailand and Singapore — after Moonshot AI trained on overseas-hosted GB300 hardware without triggering physical export controls. The rule's legal footing remains uncertain without Senate passage of the Remote Access Security Act. Meanwhile, Taiwan prosecutors have indicted nine people in a B300 server diversion scheme that routed 74 of 130 servers to China through Indonesia and Hong Kong.
The episode closes on inference economics. Hot Chips data shows OpenAI's Jalapeño chip outperforming H100, H200, and GB300 on cost per token for inference — a rare first-generation result that, if replicated, signals genuine pressure on the GPU monoculture. CPU-plus-NPU architectures, edge deployments, and hyperscaler custom silicon are all converging on the same thesis: dollars per watt is becoming the decisive metric, not raw throughput.
Key signals to watch: fiber-array supply ramp and CPO yield data from ASE and TSMC's packaging partners; Senate movement on the Remote Access Security Act; and independent replication of Jalapeño benchmark results.
This episode includes AI-generated content.
adbl_web_anon_alc_button_suppression_t1
まだレビューはありません