Maswali yanayounganishwa na mwongozo · Kati Kiwango

Maswali ya Upangaji wa GPU na Maswali ya Kuandaa Kundi

Tekeleza maombi ya rasilimali ya GPU, ratiba ya magenge na uwekaji wa topolojia, ikijumuisha jinsi sera za kuzuia na kushiriki vyema zinavyoathiri makundi ya mafunzo yaliyoshirikiwa.

Njia za mwongozo zinazohusianaUpangaji wa GPU na Upangaji wa Nguzo
Swali 1 ya 8

Kwa nini kuratibu uandikishaji wa rasilimali kwa kikundi cha wafanyikazi wa mafunzo ya saizi isiyobadilika?

Hakiki kila swali8 maswali

Majibu na maelezo huonekana unapojibu maswali.

  1. Kwa nini kuratibu uandikishaji wa rasilimali kwa kikundi cha wafanyikazi wa mafunzo ya saizi isiyobadilika?
    • To guarantee every process starts at exactly the same nanosecond
    • To guarantee the model converges
    • To remove all worker communication
    • To reduce partial-start situations where workers wait for unavailable peers
  2. Je, Kubernetes huonyeshaje ombi la rasilimali ya GPU ya kifaa-jazimio?
    • As arbitrary fractions of CPU clock cycles
    • As an integer count of advertised device resources
    • As a DNS hostname only
    • As a string of model output tokens
  3. Je, upangaji wa ufahamu wa topolojia hujaribu kuboresha nini?
    • Kueneza kazi mbali mbali iwezekanavyo
    • Kupunguza idadi ya watumiaji
    • Kuweka safu za mawasiliano kwenye miunganisho ya haraka kama NVLink
    • Kuchagua mtoa huduma wa umeme wa bei nafuu
  4. Ni programu jalizi gani inayotumika kwa kawaida na Kubernetes kwa kundi na kupanga ratiba ya kazi za AI?
    • Volcano
    • Apache Kafka
    • Redis
    • Grafana
  5. Je, ni lazima maombi ya mafunzo itoe nini ikiwa kazi iliyotanguliwa inapaswa kuanza tena maendeleo yake ya awali?
    • A guarantee that preemption saves optimizer state automatically
    • A usable checkpoint and recovery procedure
    • A renamed pod with no saved state
    • A higher learning rate for its first resumed step
  6. Je, nafasi ya mgao wa haki katika nguzo iliyoshirikiwa ni ipi?
    • Ili kuhakikisha timu moja inashinda kila wakati
    • Ili kuzima kipanga ratiba
    • Ili kuzuia timu yoyote kuhodhi GPU zote
    • Ili kuharakisha kazi moja
  7. A fixed worker group needs eight GPU resources but only four are available. What can group admission accomplish?
    • Keep the group pending until its configured minimum requirements can be met
    • Invent the missing four GPU devices
    • Turn every worker into a CPU process without configuration
    • Guarantee completion even with no admitted workers
  8. Two communicating GPU jobs fit the same resource counts on different nodes. Why consider topology as well?
    • The resource count alone fixes every transfer latency
    • Topology determines the training labels
    • Only node names affect all-reduce outputs
    • Interconnect placement affects communication costs between their workers