Guide-yakabatana mibvunzo · Pakati Nhanho
Kubernetes yeML Workloads Quiz
Isa Kubernetes ML pod kuiswa, GPU mudziyo zviwanikwa, uye kushivirira kwetsvina, kusanganisira nei kudzidziswa kwakagoverwa kuchida kwakakodzera per-node kugona.
Mubvunzo 1 ye 8
Nderipi basa rekutanga reKubernetes scheduler yeML mabasa?
Tarisa mubvunzo wese8 mibvunzo
Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.
- Nderipi basa rekutanga reKubernetes scheduler yeML mabasa?
- Kunyora kodhi yekudzidzira ye data masayendisiti
- Kusarudza kuti ndeipi node musumbu inomhanya yega yega yemukati pod
- Kunyora data rekudzidziswa otomatiki
- Kusarudza iyo neural network architecture
- Kubernetes anowanzoita sei kuti maGPU awanikwe kune pod?
- Kuburikidza nemidziyo plugins inoshambadza zviwanikwa senge nvidia.com/gpu
- Nekutumira email kune GPU mutengesi kune rezinesi
- GPUs haigone kushandiswa muKubernetes
- Nekushandura CPU cores kuita maGPU panguva yekumhanya
- With a NoSchedule taint on a GPU node, what does a matching pod toleration do?
- Forces the pod onto that node regardless of capacity
- Changes the model’s optimizer
- Allows the pod to be considered for that node without guaranteeing placement
- Encrypts every GPU tensor
- Ndechipi chishandiso chinowedzera ML-chaiyo hunyanzvi sevakagovera-vanodzidzisa vanoshanda pamusoro peKubernetes?
- Microsoft Shoko
- Apache yekushandira static mapeji ewebhu
- A spreadsheet macro
- Kubeflow
- Nei Kubernetes yakanyatsokodzera kune kuputika kweML mabasa?
- Inoronga mabasa pane zviwanikwa zvemahara uye inosunungura iyo Hardware kana mabasa apera
- Iyo inochengetedza zvachose maGPU ese kune mumwe mushandisi
- Inodzivirira chero basa ripi zvaro kubva pakukwira pasi
- Inongomhanyisa chigaba chimwe pa cluster
- Ko 'kuyera magumo ekupedzisira kusvika zero' zvinorevei paKubernetes?
- Kudzima modhi zvachose
- Kuisa chokwadi kusvika pazero muzana
- Kumhanyisa zero makopi kana pasina traffic, wobva wadzvanya pachikumbiro chinotevera
- Kuderedza ma parameter emuenzaniso kusvika zero
- One ML pod requests four GPUs, while two nodes each have only two available. Can ordinary scheduling combine those nodes for that one pod?
- Yes; every pod automatically spans all cluster nodes
- Yes; the scheduler converts CPU cores into the missing GPUs
- Only if the pod name contains the word distributed
- No; the pod must fit on one eligible node
- An inference service scales to zero while idle. Which user-facing delay should its team test when traffic resumes?
- The training-set labeling speed
- Cold-start delay while a serving replica becomes ready
- The file size of an unrelated notebook
- The number of discarded vocabulary tokens