Inside the AI Bottleneck: Data Movement, Chiplets, and System Scaling
Impossible d'ajouter des articles
Désolé, nous ne sommes pas en mesure d'ajouter l'article car votre panier est déjà plein.
Veuillez réessayer plus tard
Veuillez réessayer plus tard
Échec de l’élimination de la liste d'envies.
Veuillez réessayer plus tard
Impossible de suivre le podcast
Impossible de ne plus suivre le podcast
Inside the AI Bottleneck: Data Movement, Chiplets, and System Scaling
-
Lu par :
-
De :
À propos de ce contenu audio
But as NVIDIA’s Jensen Huang recently highlighted at GTC, the industry is hitting a different kind of wall, one that hasn’t received nearly as much attention.
The real constraint is no longer just compute. It’s data movement.
To its credit, Nvidia has pushed this frontier with innovations like NVLink Fusion, and continued investment in connectivity AI dataflow architectures. But the challenge is bigger than any one company.
As AI systems scale to hundreds - and even thousands - of processors, performance is increasingly defined by the ability to efficiently move, synchronize, and manage data across increasingly distributed architectures that can orchestrate data across chiplets, nodes, and entire racks.
In this episode of Tech Threads, we bring together a panel of deeply experienced technologists, architects and leaders from companies like Intel, Arm, Altera, Texas Instruments, and Arteris - individuals who have helped shape modern compute, interconnect standards, and system architecture.
Together they explore what is really changing beneath the surface: why traditional scaling approaches are breaking down, how coherent interconnects and network-on-chip architectures are evolving, and why system-level thinking is becoming essential.
They also dive into the growing complexity introduced by chiplet-based designs, heterogeneous compute, and distributed memory systems and what it takes to maintain performance, efficiency, and programmability at scale.
This is not just a technology shift, it’s an architectural reset.
If you’re building or thinking about next-generation AI systems, this conversation gets to the heart of what matters next.
adbl_web_anon_alc_button_suppression_t1
Aucun commentaire pour le moment
