Ukuran komputer virtual berkemampuan vCPU terbatas
Berlaku untuk: ✔️ Mesin virtual Linux ✔️ Mesin virtual Windows ✔️ Set skala fleksibel ✔️ Set skala seragam
Tip
Coba alat pemilih Mesin Virtual untuk menemukan ukuran lain yang paling sesuai dengan beban kerja Anda.
Beberapa beban kerja database seperti SQL Server memerlukan memori, penyimpanan, dan bandwidth I/O yang tinggi, tetapi bukan jumlah inti yang tinggi. Banyak beban kerja database yang tidak intensif CPU. Azure menawarkan ukuran komputer virtual tertentu di mana Anda dapat membatasi jumlah komputer virtual vCPU untuk mengurangi biaya lisensi perangkat lunak, sambil mempertahankan memori, penyimpanan, dan bandwidth I/O yang sama.
Jumlah vCPU dapat dibatasi hingga satu setengah atau seperempat dari ukuran VM asli. Ukuran komputer virtual baru ini memiliki akhiran yang menentukan jumlah vCPU aktif untuk membuatnya lebih mudah diidentifikasi oleh Anda.
Misalnya, ukuran komputer virtual Standard_GS5 saat ini tersedia dengan 32 vCPU, RAM 448 GB, 64 disk (hingga 256 TB), dan bandwidth I/O 80.000 IOP atau 2 GB/dtk. Ukuran komputer virtual baru Standard_GS5-16 dan Standard_GS5-8 masing-masing dilengkapi dengan 16 dan 8 vCPU aktif, selagi mempertahankan spesifikasi Standard_GS5 lainnya untuk memori, penyimpanan, dan bandwidth I/O.
Biaya lisensi yang dikenakan untuk SQL Server dibatasi ke jumlah vCPU baru, dan produk lain harus ditagih berdasarkan jumlah vCPU baru. Ini menghasilkan peningkatan 50% hingga 75% dalam rasio spesifikasi komputer terhadap vCPU aktif (dapat ditagihkan). Ukuran komputer virtual baru ini memungkinkan beban kerja pelanggan untuk menggunakan memori, penyimpanan, dan bandwidth I/O yang sama selagi mengoptimalkan biaya lisensi perangkat lunak mereka. Saat ini, biaya komputasi, yang mencakup lisensi OS, tetap sama dengan ukuran aslinya. Untuk informasi selengkapnya, lihat Ukuran komputer virtual Azure untuk beban kerja database yang lebih hemat biaya.
| Nama | vCPU | Spesifikasi |
|---|---|---|
| Standard_M8-2ms | 2 | Same as M8ms |
| Standard_M8-4ms | 4 | Same as M8ms |
| Standard_M16-4ms | 4 | Same as M16ms |
| Standard_M16-8ms | 8 | Same as M16ms |
| Standard_M32-8ms | 8 | Same as M32ms |
| Standard_M32-16ms | 16 | Same as M32ms |
| Standard_M64-32ms | 32 | Same as M64ms |
| Standard_M64-16ms | 16 | Same as M64ms |
| Standard_M128-64ms | 64 | Same as M128ms |
| Standard_M128-32ms | 32 | Same as M128ms |
| Standard_E4-2s_v3 | 2 | Same as E4s_v3 |
| Standard_E8-4s_v3 | 4 | Same as E8s_v3 |
| Standard_E8-2s_v3 | 2 | Same as E8s_v3 |
| Standard_E16-8s_v3 | 8 | Same as E16s_v3 |
| Standard_E16-4s_v3 | 4 | Same as E16s_v3 |
| Standard_E32-16s_v3 | 16 | Same as E32s_v3 |
| Standar E32-8s v3 | 8 | Same as E32s_v3 |
| Standard_E64-32s_v3 | 32 | Same as E64s_v3 |
| Standard_E64-16s_v3 | 16 | Same as E64s_v3 |
| Standard_E4-2s_v4 | 2 | Same as E4s_v4 |
| Standard_E8-4s_v4 | 4 | Same as E8s_v4 |
| Standard_E8-2s_v4 | 2 | Same as E8s_v4 |
| Standard_E16-8s_v4 | 8 | Same as E16s_v4 |
| Standard_E16-4s_v4 | 4 | Same as E16s_v4 |
| Standard_E32-16s_v4 | 16 | Same as E32s_v4 |
| Standard_E32-8s_v4 | 8 | Same as E32s_v4 |
| Standard_E64-32s_v4 | 32 | Same as E64s_v4 |
| Standard_E64-16s_v4 | 16 | Same as E64s_v4 |
| Standard_E4-2ds_v4 | 2 | Same as E4ds_v4 |
| Standard_E8-4ds_v4 | 4 | Same as E8ds_v4 |
| Standard_E8-2ds_v4 | 2 | Same as E8ds_v4 |
| Standard_E16-8ds_v4 | 8 | Same as E16ds_v4 |
| Standard_E16-4ds_v4 | 4 | Same as E16ds_v4 |
| Standard_E32-16ds_v4 | 16 | Same as E32ds_v4 |
| Standard_E32-8ds_v4 | 8 | Same as E32ds_v4 |
| Standard_E64-32ds_v4 | 32 | Same as E64ds_v4 |
| Standard_E64-16ds_v4 | 16 | Same as E64ds_v4 |
| Standar_E4-2s_v5 | 2 | Sama seperti E4s_v5 |
| Standar_E8-4s_v5 | 4 | Sama seperti E8s_v5 |
| Standar_E8-2s_v5 | 2 | Sama seperti E8s_v5 |
| Standar_E16-8s_v5 | 8 | Sama seperti E16s_v5 |
| Standar_E16-4s_v5 | 4 | Sama seperti E16s_v5 |
| Standar_E32-16s_v5 | 16 | Sama seperti E32s_v5 |
| Standar_E32-8s_v5 | 8 | Sama seperti E32s_v5 |
| Standar_E64-32s_v5 | 32 | Sama seperti E64s_v5 |
| Standar_E64-16s_v5 | 16 | Sama seperti E64s_v5 |
| Standar_E96-48s_v5 | 48 | Sama seperti E96s_v5 |
| Standar_E96-24s_v5 | 24 | Sama seperti E96s_v5 |
| Standar_E4-2ds_v5 | 2 | Sama seperti E4ds_v5 |
| Standar_E8-4ds_v5 | 4 | Sama seperti E8ds_v5 |
| Standar_E8-2ds_v5 | 2 | Sama seperti E8ds_v5 |
| Standar_E16-8ds_v5 | 8 | Sama seperti E16ds_v5 |
| Standar_E16-4ds_v5 | 4 | Sama seperti E16ds_v5 |
| Standar_E32-16ds_v5 | 16 | Sama seperti E32ds_v5 |
| Standar_E32-8ds_v5 | 8 | Sama seperti E32ds_v5 |
| Standar_E64-32ds_v5 | 32 | Sama seperti E64ds_v5 |
| Standar_E64-16ds_v5 | 16 | Sama seperti E64ds_v5 |
| Standar_E96-48ds_v5 | 48 | Sama seperti E96ds_v5 |
| Standar_E96-24ds_v5 | 24 | Sama seperti E96ds_v5 |
| Standard_E4-2as_v4 | 2 | Same as E4as_v4 |
| Standard_E8-4as_v4 | 4 | Same as E8as_v4 |
| Standard_E8-2as_v4 | 2 | Same as E8as_v4 |
| Standard_E16-8as_v4 | 8 | Same as E16as_v4 |
| Standard_E16-4as_v4 | 4 | Same as E16as_v4 |
| Standard_E32-16as_v4 | 16 | Same as E32as_v4 |
| Standard_E32-8as_v4 | 8 | Same as E32as_v4 |
| Standard_E64-32as_v4 | 32 | Same as E64as_v4 |
| Standard_E64-16as_v4 | 16 | Same as E64as_v4 |
| Standard_E96-48as_v4 | 48 | Same as E96as_v4 |
| Standard_E96-24as_v4 | 24 | Same as E96as_v4 |
| Standar_E4-2ads_v5 | 2 | Sama seperti E4ads_v5 |
| Standar_E8-4ads_v5 | 4 | Sama seperti E8ads_v5 |
| Standar_E8-2ads_v5 | 2 | Sama seperti E8ads_v5 |
| Standar_E16-8ads_v5 | 8 | Sama seperti E16ads_v5 |
| Standar_E16-4ads_v5 | 4 | Sama seperti E16ads_v5 |
| Standar_E32-16ads_v5 | 16 | Sama seperti E32ads_v5 |
| Standar_E32-8ads_v5 | 8 | Sama seperti E32ads_v5 |
| Standar_E64-32ads_v5 | 32 | Sama seperti E64ads_v5 |
| Standar_E64-16ads_v5 | 16 | Sama seperti E64ads_v5 |
| Standar_E96-48ads_v5 | 48 | Sama seperti E96ads_v5 |
| Standar_E96-24ads_v5 | 24 | Sama seperti E96ads_v5 |
| Standar_E4-2as_v5 | 2 | Sama seperti E4as_v5 |
| Standar_E8-4as_v5 | 4 | Sama seperti E8as_v5 |
| Standar_E8-2as_v5 | 2 | Sama seperti E8as_v5 |
| Standar_E16-8as_v5 | 8 | Sama seperti E16as_v5 |
| Standar_E16-4as_v5 | 4 | Sama seperti E16as_v5 |
| Standar_E32-16as_v5 | 16 | Sama seperti E32as_v5 |
| Standar_E32-8as_v5 | 8 | Sama seperti E32as_v5 |
| Standar_E64-32as_v5 | 32 | Sama seperti E64as_v5 |
| Standar_E64-16as_v5 | 16 | Sama seperti E64as_v5 |
| Standar_E96-48as_v5 | 48 | Sama seperti E96as_v5 |
| Standar_E96-24as_v5 | 24 | Sama seperti E96as_v5 |
| Standard_GS4-8 | 8 | Same as GS4 |
| Standard_GS4-4 | 4 | Same as GS4 |
| Standard_GS5-16 | 16 | Same as GS5 |
| Standard_GS5-8 | 8 | Same as GS5 |
| Standard_DS11-1_v2 | 1 | Same as DS11_v2 |
| Standard_DS12-2_v2 | 2 | Same as DS12_v2 |
| Standard_DS12-1_v2 | 1 | Same as DS12_v2 |
| Standard_DS13-4_v2 | 4 | Same as DS13_v2 |
| Standard_DS13-2_v2 | 2 | Same as DS13_v2 |
| Standard_DS14-8_v2 | 8 | Same as DS14_v2 |
| Standard_DS14-4_v2 | 4 | Same as DS14_v2 |
| Standard_M416-208s_v2 | 208 | Same as M416s_v2 |
| Standard_M416-208ms_v2 | 208 | Same as M416ms_v2 |
Ukuran lainnya
- Komputasi dioptimalkan
- Dioptimalkan untuk memori
- Dioptimalkan untuk penyimpanan
- GPU
- Komputasi performa tinggi
Langkah berikutnya
Pelajari tentang cara unit komputasi Azure (ACU) dapat membantu membandingkan performa komputasi di seluruh SKU Azure.