NVLink iyo GPU Interconnects Kedis

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Waa maxay sababta isku xidhka xawaaraha sare sida NVLink loogu baahan yahay moodooyinka AI ee waaweyn?
   • Sababtoo ah moodooyinka ugu waaweyn waxay u kala qaybsan yihiin GPU-yo badan oo ay tahay inay si joogto ah u beddelaan xogta
   • Sababtoo ah hal GPU ayaa had iyo jeer ku filan laakiin waa cidlo
   • Sababtoo ah GPU-yadu waxay u baahan yihiin inay ku xidhmaan daabacayaasha
   • Sababtoo ah moodooyinka waxay ku kaydsan yihiin isku xidhka laftiisa
2. Faa'iido intee le'eg ayuu NVLink ka bixiyaa baska caadiga ah ee PCIe ee isgaarsiinta GPU-to-GPU?
   • Way gaabis tahay laakiin way ka jaban tahay
   • bandwidth aad u sarreeya iyo daahitaan hoose
   • Waxa kaliya oo u dhexeeya GPU iyo CPU
   • Waxay meesha ka saartaa baahida loo qabo xasuus kasta
3. Waa maxay doorka NVSwitch ee server-ka badan ee GPU?
   • Waxay ku qaboojisaa GPU-yada taageerayaasha
   • Waxay kaydisaa nidaamka hawlgalka
   • Waxay u shaqeysaa sidii isgooys xawaare sare leh si GPU kastaa uu midba midka kale ugu gaari karo xawaaraha ballaaran
   • Waxay ka beddeshaa tamarta ka soo baxda gidaarka
4. Waa kuwee hawlgalka wadajirka ah, ee ku badan tababbarka la qaybiyey, oo si xooggan uga faa'iidaysanaya isku xidhka degdega ah?
   • Defragmenting hard drive
   • Samaynta hal pixel
   • Ururinta koodka isha
   • Dhammaan-dhimista, taas oo isu geynaysa gradients guud ahaan GPU-yada
5. Marka laga soo tago hal server, waa maxay tignoolajiyada ku xidha kumanaanka noodhka GPU ee hal koox?
   • InfiniBand iyo RDMA-over-Ethernet
   • fiilooyinka USB iyo Wi-Fi
   • Bluetooth iyo HDMI
   • Modem-ka garaaca
6. Waa maxay habka cabbirka rack-ka sida NVIDIA's NVL72?
   • Waa hal GPU oo ku jira sanduuq yar
   • Waxay ku xidhaa daraasiin GPU-yo ah hal meel oo NVLink midaysan
   • Waxay ku beddeshaa dhammaan software-ka qalabka
   • Waa nooc ka mid ah dareeraha qaboojinta
7. Why can a fast GPU fabric improve distributed data-parallel training?
   • It removes the need to compute gradients
   • It converts training into a database lookup
   • It can reduce the time spent exchanging gradients in collectives such as all-reduce
   • It prevents GPUs from synchronizing
8. How does an NVLink scale-up fabric differ from InfiniBand or Ethernet used across a cluster?
   • NVLink is only a file format
   • InfiniBand runs inside a GPU’s tensor core
   • Ethernet is used only for local memory access
   • NVLink connects GPUs within supported systems or rack domains; InfiniBand and Ethernet commonly connect cluster nodes