Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Jika Anda menerima error terkait kuota saat menjalankan Tabular Workflow untuk AutoML End-to-End, minta kuota yang lebih tinggi. Untuk mempelajari lebih lanjut, baca Melihat dan mengelola kuota.
Tabel berikut menunjukkan nilai kuota yang kami rekomendasikan. Sebaiknya tetapkan nilai kuota sebagai fungsi jumlah tugas pelatihan konkurensi (num_concurrent_pipeline) dan jumlah CPU di region yang diminta. Nilai yang direkomendasikan hanya valid jika Anda menggunakan konfigurasi resource Compute Engine default untuk alur kerja Anda.
Layanan
Kuota
Rekomendasi
Compute Engine API
CPU
CPU num_concurrent_pipeline x 440
Compute Engine API
Persistent Disk Standar (GB)
Persistent disk num_concurrent_pipeline x 5 TB
Vertex AI API
CPU pelatihan gambar yang dibatasi untuk jenis mesin N1/E2 per region
CPU num_concurrent_pipeline x 440
Vertex AI API
Pelatihan gambar yang dibatasi total penyimpanan SSD persistent disk (GB) per region
Persistent disk num_concurrent_pipeline x 8 TB
Vertex AI API
Permintaan pengelolaan resource (CRUD) per menit per region
num_concurrent_pipeline x 150
Vertex AI API
Permintaan pengiriman tugas atau LRO per menit per region
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-04 UTC."],[],[],null,["# Manage quotas for Tabular Workflows\n\nIf you receive a quota-related error while running the Tabular Workflow for End-to-End AutoML, request a higher quota. To learn more, see [View and manage quotas](/docs/quotas/view-manage).\n\n\u003cbr /\u003e\n\nThe following table shows our recommended quota values. We recommend\nsetting the quota values as a function of the number of concurrent\ntraining jobs (`num_concurrent_pipeline`) and the number of CPUs in the\nrequested region. The recommended values are valid only if you use the\ndefault Compute Engine resource configuration for your workflow.\n\nWhat's next\n-----------\n\n- [Train a model using End-to-End AutoML](/vertex-ai/docs/tabular-data/tabular-workflows/e2e-automl-train)."]]
