12219 Virtual machines

Name Provider Series Category CPU RAM Root volume Extra volume GPU
c6gn.16xlarge AWS C6gn Compute optimized 64 131072 — — —
c6gn.2xlarge AWS C6gn Compute optimized 8 16384 — — —
c6gn.4xlarge AWS C6gn Compute optimized 16 32768 — — —
c6gn.8xlarge AWS C6gn Compute optimized 32 65536 — — —
c6gn.large AWS C6gn Compute optimized 2 4096 — — —
c6gn.medium AWS C6gn Compute optimized 1 2048 — — —
c6gn.xlarge AWS C6gn Compute optimized 4 8192 — — —
c6gd.12xlarge AWS C6gd Compute optimized 48 98304 — 2x 1425GB NVMe SSD —
c6gd.16xlarge AWS C6gd Compute optimized 64 131072 — 2x 1900GB NVMe SSD —
c6gd.2xlarge AWS C6gd Compute optimized 8 16384 — 475GB NVMe SSD —
c6gd.4xlarge AWS C6gd Compute optimized 16 32768 — 950GB NVMe SSD —
c6gd.8xlarge AWS C6gd Compute optimized 32 65536 — 1900GB NVMe SSD —
c6gd.large AWS C6gd Compute optimized 2 4096 — 118GB NVMe SSD —
c6gd.medium AWS C6gd Compute optimized 1 2048 — 59GB NVMe SSD —
c6gd.xlarge AWS C6gd Compute optimized 4 8192 — 237GB NVMe SSD —
c6g.12xlarge AWS C6g Compute optimized 48 98304 — — —
c6g.16xlarge AWS C6g Compute optimized 64 131072 — — —
c6g.2xlarge AWS C6g Compute optimized 8 16384 — — —
c6g.4xlarge AWS C6g Compute optimized 16 32768 — — —
c6g.8xlarge AWS C6g Compute optimized 32 65536 — — —
c6g.large AWS C6g Compute optimized 2 4096 — — —
c6g.medium AWS C6g Compute optimized 1 2048 — — —
c6g.xlarge AWS C6g Compute optimized 4 8192 — — —
ecs.c6e.26xlarge Alibaba C6e Compute optimized 104 196608 — — —
ecs.c6e.13xlarge Alibaba C6e Compute optimized 52 98304 — — —
ecs.c6e.8xlarge Alibaba C6e Compute optimized 32 65536 — — —
ecs.c6e.4xlarge Alibaba C6e Compute optimized 16 32768 — — —
ecs.c6e.2xlarge Alibaba C6e Compute optimized 8 16384 — — —
ecs.c6e.xlarge Alibaba C6e Compute optimized 4 8192 — — —
ecs.c6e.large Alibaba C6e Compute optimized 2 4096 — — —
c6a.16xlarge AWS C6a Compute optimized 64 131072 — — —
c6a.32xlarge AWS C6a Compute optimized 128 262144 — — —
c6a.48xlarge AWS C6a Compute optimized 192 393216 — — —
c6a.24xlarge AWS C6a Compute optimized 96 196608 — — —
c6a.2xlarge AWS C6a Compute optimized 8 16384 — — —
c6a.4xlarge AWS C6a Compute optimized 16 32768 — — —
c6a.8xlarge AWS C6a Compute optimized 32 65536 — — —
c6a.12xlarge AWS C6a Compute optimized 48 98304 — — —
c6a.xlarge AWS C6a Compute optimized 4 8192 — — —
c6a.large AWS C6a Compute optimized 2 4096 — — —
ecs.c6a.64xlarge Alibaba C6a Compute optimized 256 524288 — — —
ecs.c6a.4xlarge Alibaba C6a Compute optimized 16 32768 — — —
ecs.c6a.8xlarge Alibaba C6a Compute optimized 32 65536 — — —
ecs.c6a.xlarge Alibaba C6a Compute optimized 4 8192 — — —
ecs.c6a.large Alibaba C6a Compute optimized 2 4096 — — —
ecs.c6a.2xlarge Alibaba C6a Compute optimized 8 16384 — — —
ecs.c6a.16xlarge Alibaba C6a Compute optimized 64 131072 — — —
ecs.c6a.32xlarge Alibaba C6a Compute optimized 128 262144 — — —
ecs.c6.16xlarge Alibaba C6 Compute optimized 64 131072 — — —
ecs.c6.26xlarge Alibaba C6 Compute optimized 104 196608 — — —
ecs.c6.13xlarge Alibaba C6 Compute optimized 52 98304 — — —
ecs.c6.8xlarge Alibaba C6 Compute optimized 32 65536 — — —
ecs.c6.6xlarge Alibaba C6 Compute optimized 24 49152 — — —
ecs.c6.4xlarge Alibaba C6 Compute optimized 16 32768 — — —
ecs.c6.3xlarge Alibaba C6 Compute optimized 12 24576 — — —
ecs.c6.2xlarge Alibaba C6 Compute optimized 8 16384 — — —
ecs.c6.xlarge Alibaba C6 Compute optimized 4 8192 — — —
ecs.c6.large Alibaba C6 Compute optimized 2 4096 — — —
c6.8xlarge.2 Huawei C6 General Purpose 32 65536 — — —
c6.16xlarge.2 Huawei C6 General Purpose 64 131072 — — —
c6.12xlarge.2 Huawei C6 General Purpose 48 98304 — — —
c6.12xlarge.4 Huawei C6 General Purpose 48 196608 — — —
c6.16xlarge.4 Huawei C6 General Purpose 64 262144 — — —
c6.22xlarge.4 Huawei C6 General Purpose 88 360448 — — —
c6.22xlarge.4.physical Huawei C6 General Purpose 88 393216 — — —
c6.2xlarge.2 Huawei C6 General Purpose 8 16384 — — —
c6.2xlarge.4 Huawei C6 General Purpose 8 32768 — — —
c6.3xlarge.2 Huawei C6 General Purpose 12 24576 — — —
c6.3xlarge.4 Huawei C6 General Purpose 12 49152 — — —
c6.4xlarge.2 Huawei C6 General Purpose 16 32768 — — —
c6.4xlarge.4 Huawei C6 General Purpose 16 65536 — — —
c6.6xlarge.2 Huawei C6 General Purpose 24 49152 — — —
c6.6xlarge.4 Huawei C6 General Purpose 24 98304 — — —
c6.8xlarge.4 Huawei C6 General Purpose 32 131072 — — —
c6.large.2 Huawei C6 General Purpose 2 4096 — — —
c6.large.4 Huawei C6 General Purpose 2 8192 — — —
c6.xlarge.2 Huawei C6 General Purpose 4 8192 — — —
c6.xlarge.4 Huawei C6 General Purpose 4 16384 — — —
C6.LARGE8 Tencent C6 Compute optimized 4 8192 — — —
C6.LARGE16 Tencent C6 Compute optimized 4 16384 — — —
C6.2XLARGE16 Tencent C6 Compute optimized 8 16384 — — —
C6.2XLARGE32 Tencent C6 Compute optimized 8 32768 — — —
C6.4XLARGE32 Tencent C6 Compute optimized 16 32768 — — —
C6.4XLARGE64 Tencent C6 Compute optimized 16 65536 — — —
C6.8XLARGE128 Tencent C6 Compute optimized 32 131072 — — —
C6.23MEDIUM216 Tencent C6 Compute optimized 46 221184 — — —
C6.16XLARGE256 Tencent C6 Compute optimized 64 262144 — — —
C6.20XLARGE320 Tencent C6 Compute optimized 80 327680 — — —
C6.23XLARGE432 Tencent C6 Compute optimized 92 442368 — — —
c6.16xlarge.2 OBS C6 General Purpose 64 131072 — — —
c6.16xlarge.4 OBS C6 General Purpose 64 262144 — — —
c6.2xlarge.2 OBS C6 General Purpose 8 16384 — — —
c6.2xlarge.4 OBS C6 General Purpose 8 32768 — — —
c6.3xlarge.2 OBS C6 General Purpose 12 24576 — — —
c6.3xlarge.4 OBS C6 General Purpose 12 49152 — — —
c6.4xlarge.2 OBS C6 General Purpose 16 32768 — — —
c6.4xlarge.4 OBS C6 General Purpose 16 65536 — — —
c6.6xlarge.2 OBS C6 General Purpose 24 49152 — — —
c6.6xlarge.4 OBS C6 General Purpose 24 98304 — — —
c6.8xlarge.2 OBS C6 General Purpose 32 65536 — — —
c6.8xlarge.4 OBS C6 General Purpose 32 131072 — — —
c6.large.2 OBS C6 General Purpose 2 4096 — — —
c6.large.4 OBS C6 General Purpose 2 8192 — — —
c6.xlarge.2 OBS C6 General Purpose 4 8192 — — —
c6.xlarge.4 OBS C6 General Purpose 4 16384 — — —
c5n.2xlarge AWS C5n Compute optimized 8 21504 — — —
c5n.4xlarge AWS C5n Compute optimized 16 43008 — — —
c5n.9xlarge AWS C5n Compute optimized 36 98304 — — —
c5n.large AWS C5n Compute optimized 2 5376 — — —
c5n.18xlarge AWS C5n Compute optimized 72 196608 — — —
c5n.xlarge AWS C5n Compute optimized 4 10752 — — —
c5d.4xlarge AWS C5d Compute optimized 16 32768 — 400GB NVMe SSD —
c5d.9xlarge AWS C5d Compute optimized 36 73728 — 900GB NVMe SSD —
c5d.large AWS C5d Compute optimized 2 4096 — 50GB NVMe SSD —
c5d.18xlarge AWS C5d Compute optimized 72 147456 — 2x 900GB NVMe SSD —
c5d.xlarge AWS C5d Compute optimized 4 8192 — 100GB NVMe SSD —
c5d.2xlarge AWS C5d Compute optimized 8 16384 — 200GB NVMe SSD —
c5d.24xlarge AWS C5d Compute optimized 96 196608 — 4x 900GB NVMe SSD —
c5d.12xlarge AWS C5d Compute optimized 48 98304 — 2x 900GB NVMe SSD —
c5ad.12xlarge AWS C5ad Compute optimized 48 98304 — 2x 900GB NVMe SSD —
c5ad.16xlarge AWS C5ad Compute optimized 64 131072 — 2x 1200GB NVMe SSD —
c5ad.24xlarge AWS C5ad Compute optimized 96 196608 — 2x 1900GB NVMe SSD —
c5ad.2xlarge AWS C5ad Compute optimized 8 16384 — 300GB NVMe SSD —
c5ad.4xlarge AWS C5ad Compute optimized 16 32768 — 2x 300GB NVMe SSD —
c5ad.8xlarge AWS C5ad Compute optimized 32 65536 — 2x 600GB NVMe SSD —
c5ad.large AWS C5ad Compute optimized 2 4096 — 75GB NVMe SSD —
c5ad.xlarge AWS C5ad Compute optimized 4 8192 — 150GB NVMe SSD —
c5a.large AWS C5a Compute optimized 2 4096 — — —
c5a.xlarge AWS C5a Compute optimized 4 8192 — — —
c5a.2xlarge AWS C5a Compute optimized 8 16384 — — —
c5a.12xlarge AWS C5a Compute optimized 48 98304 — — —
c5a.16xlarge AWS C5a Compute optimized 64 131072 — — —
c5a.24xlarge AWS C5a Compute optimized 96 196608 — — —
c5a.4xlarge AWS C5a Compute optimized 16 32768 — — —
c5a.8xlarge AWS C5a Compute optimized 32 65536 — — —
c5.large AWS C5 Compute optimized 2 4096 — — —
c5.2xlarge AWS C5 Compute optimized 8 16384 — — —
c5.xlarge AWS C5 Compute optimized 4 8192 — — —
c5.9xlarge AWS C5 Compute optimized 36 73728 — — —
c5.18xlarge AWS C5 Compute optimized 72 147456 — — —
c5.4xlarge AWS C5 Compute optimized 16 32768 — — —
c5.12xlarge AWS C5 Compute optimized 48 98304 — — —
c5.24xlarge AWS C5 Compute optimized 96 196608 — — —
ecs.c5.6xlarge Alibaba C5 Compute optimized 24 49152 — — —
ecs.c5.8xlarge Alibaba C5 Compute optimized 32 65536 — — —
ecs.c5.16xlarge Alibaba C5 Compute optimized 64 131072 — — —
ecs.c5.large Alibaba C5 Compute optimized 2 4096 — — —
ecs.c5.xlarge Alibaba C5 Compute optimized 4 8192 — — —
ecs.c5.2xlarge Alibaba C5 Compute optimized 8 16384 — — —
ecs.c5.4xlarge Alibaba C5 Compute optimized 16 32768 — — —
ecs.c5-618.22xlarge Alibaba C5 Compute optimized 88 — — — —
ecs.c5-618e.22xlarge Alibaba C5 Compute optimized 88 — — — —
ecs.c5.3xlarge Alibaba C5 Compute optimized 12 24576 — — —
ecs.c5.22xlarge Alibaba C5 Compute optimized 88 163840 — — —
ecs.c5.21xlarge Alibaba C5 Compute optimized 86 155648 — — —
ecs.c5.24xlarge Alibaba C5 Compute optimized 96 163840 — — —
C5.LARGE8 Tencent C5 Compute optimized 4 8192 — — —
C5.LARGE16 Tencent C5 Compute optimized 4 16384 — — —
C5.2XLARGE16 Tencent C5 Compute optimized 8 16384 — — —
C5.2XLARGE32 Tencent C5 Compute optimized 8 32768 — — —
C5.4XLARGE32 Tencent C5 Compute optimized 16 32768 — — —
C5.4XLARGE64 Tencent C5 Compute optimized 16 65536 — — —
C5.8XLARGE64 Tencent C5 Compute optimized 32 65536 — — —
C5.8XLARGE128 Tencent C5 Compute optimized 32 131072 — — —
C5.12XLARGE96 Tencent C5 Compute optimized 48 98304 — — —
C5.12XLARGE192 Tencent C5 Compute optimized 48 196608 — — —
C5.13XLARGE184 Tencent C5 Compute optimized 52 188416 — — —
C5.16XLARGE128 Tencent C5 Compute optimized 64 131072 — — —
C5.16XLARGE256 Tencent C5 Compute optimized 64 262144 — — —
C5.26XLARGE368 Tencent C5 Compute optimized 104 376832 — — —
C5.103XMEDIUM736 Tencent C5 Compute optimized 206 753664 — — —
C5.8XLARGE256 Tencent C5 Compute optimized 32 262144 — — —
C5.MEDIUM4 Tencent C5 Compute optimized 2 4096 — — —
C5.3XLARGE44 Tencent C5 Compute optimized 12 45056 — — —
C5.6XLARGE96 Tencent C5 Compute optimized 24 98304 — — —
c4ne.12xlarge.4 OTC C4ne General Purpose 48 196608 — — —
c4ne.16xlarge.4 OTC C4ne General Purpose 64 262144 — — —
c4ne.2xlarge.4 OTC C4ne General Purpose 8 32768 — — —
c4ne.3xlarge.4 OTC C4ne General Purpose 12 49152 — — —
c4ne.4xlarge.4 OTC C4ne General Purpose 16 65536 — — —
c4ne.6xlarge.4 OTC C4ne General Purpose 24 98304 — — —
c4ne.8xlarge.4 OTC C4ne General Purpose 32 131072 — — —
c4ne.large.4 OTC C4ne General Purpose 2 8192 — — —
c4ne.xlarge.4 OTC C4ne General Purpose 4 16384 — — —
c4.2xlarge AWS C4 Compute optimized 8 15360 — — —
c4.8xlarge AWS C4 Compute optimized 36 61440 — — —
c4.xlarge AWS C4 Compute optimized 4 7680 — — —
c4.4xlarge AWS C4 Compute optimized 16 30720 — — —
c4.large AWS C4 Compute optimized 2 3840 — — —
c4.2xlarge.4 OTC C4 General Purpose 8 32768 — — —
c4.large.4 OTC C4 General Purpose 2 8192 — — —
c4.6xlarge.2 OTC C4 General Purpose 24 49152 — — —
c4.xlarge.2 OTC C4 General Purpose 4 8192 — — —
c4.6xlarge.4 OTC C4 General Purpose 24 98304 — — —
c4.3xlarge.2 OTC C4 General Purpose 12 24576 — — —
c4.16xlarge.2 OTC C4 General Purpose 64 131072 — — —
c4.xlarge.4 OTC C4 General Purpose 4 16384 — — —
c4.16xlarge.4 OTC C4 General Purpose 64 262144 — — —
c4.8xlarge.2 OTC C4 General Purpose 32 65536 — — —
c4.3xlarge.4 OTC C4 General Purpose 12 49152 — — —
c4.8xlarge.4 OTC C4 General Purpose 32 131072 — — —
c4.2xlarge.2 OTC C4 General Purpose 8 16384 — — —
c4.4xlarge.2 OTC C4 General Purpose 16 32768 — — —
c4.large.2 OTC C4 General Purpose 2 4096 — — —
c4.4xlarge.4 OTC C4 General Purpose 16 65536 — — —
C4.LARGE8 Tencent C4 Compute optimized 4 8192 — — —
C4.LARGE16 Tencent C4 Compute optimized 4 16384 — — —
C4.2XLARGE16 Tencent C4 Compute optimized 8 16384 — — —
C4.2XLARGE32 Tencent C4 Compute optimized 8 32768 — — —
C4.4XLARGE32 Tencent C4 Compute optimized 16 32768 — — —
C4.4XLARGE64 Tencent C4 Compute optimized 16 65536 — — —
C4.8XLARGE174 Tencent C4 Compute optimized 32 178176 — — —
C4.16XLARGE348 Tencent C4 Compute optimized 64 356352 — — —
C4.8XLARGE256 Tencent C4 Compute optimized 32 262144 — — —
C4.16XLARGE256 Tencent C4 Compute optimized 64 262144 — — —
C4.8XLARGE128 Tencent C4 Compute optimized 32 131072 — — —
C4.MEDIUM4 Tencent C4 Compute optimized 2 4096 — — —
C4.4XLARGE128 Tencent C4 Compute optimized 16 131072 — — —
C4.8XLARGE64 Tencent C4 Compute optimized 32 65536 — — —
C4.16XLARGE128 Tencent C4 Compute optimized 64 131072 — — —
c3ne.15xlarge.4 Huawei C3ne Compute optimized 60 262144 — — —
c3ne.2xlarge.4 Huawei C3ne Compute optimized 8 32768 — — —
c3ne.4xlarge.4 Huawei C3ne Compute optimized 16 65536 — — —
c3ne.8xlarge.4 Huawei C3ne Compute optimized 32 131072 — — —
c3ne.large.4 Huawei C3ne Compute optimized 2 8192 — — —
c3ne.xlarge.4 Huawei C3ne Compute optimized 4 16384 — — —
c3d-standard-16 AMD Genoa Google C3D General Purpose 16 65536 — — —
c3d-standard-16-lssd AMD Genoa Google C3D General Purpose 16 65536 — 375GB NVMe SSD —
c3d-standard-30 AMD Genoa Google C3D General Purpose 30 122880 — — —
c3d-standard-30-lssd AMD Genoa Google C3D General Purpose 30 122880 — 2x 375GB NVMe SSD —
c3d-standard-4 AMD Genoa Google C3D General Purpose 4 16384 — — —
c3d-standard-60 AMD Genoa Google C3D General Purpose 60 245760 — — —
c3d-standard-60-lssd AMD Genoa Google C3D General Purpose 60 245760 — 4x 375GB NVMe SSD —
c3d-standard-8 AMD Genoa Google C3D General Purpose 8 32768 — — —
c3d-standard-8-lssd AMD Genoa Google C3D General Purpose 8 32768 — 375GB NVMe SSD —
c3d-highcpu-16 AMD Genoa Google C3D Compute optimized 16 32768 — — —
c3d-highcpu-180 AMD Genoa Google C3D Compute optimized 180 362496 — — —
c3d-highcpu-30 AMD Genoa Google C3D Compute optimized 30 60416 — — —
c3d-highcpu-360 AMD Genoa Google C3D Compute optimized 360 724992 — — —
c3d-highcpu-4 AMD Genoa Google C3D Compute optimized 4 8192 — — —
c3d-highcpu-60 AMD Genoa Google C3D Compute optimized 60 120832 — — —
c3d-highcpu-8 AMD Genoa Google C3D Compute optimized 8 16384 — — —
c3d-highcpu-90 AMD Genoa Google C3D Compute optimized 90 181248 — — —
c3d-standard-180 AMD Genoa Google C3D General Purpose 180 737280 — — —
c3d-standard-180-lssd AMD Genoa Google C3D General Purpose 180 737280 — 16x 375GB NVMe SSD —
c3d-standard-360 AMD Genoa Google C3D General Purpose 360 1474560 — — —
c3d-standard-360-lssd AMD Genoa Google C3D General Purpose 360 1474560 — 32x 375GB NVMe SSD —
c3d-standard-90 AMD Genoa Google C3D General Purpose 90 368640 — — —
c3d-standard-90-lssd AMD Genoa Google C3D General Purpose 90 368640 — 8x 375GB NVMe SSD —
c3d-highmem-16 AMD Genoa Google C3D Memory optimized 16 131072 — — —
c3d-highmem-180 AMD Genoa Google C3D Memory optimized 180 1474560 — — —
c3d-highmem-30 AMD Genoa Google C3D Memory optimized 30 245760 — — —
c3d-highmem-360 AMD Genoa Google C3D Memory optimized 360 2949120 — — —
c3d-highmem-4 AMD Genoa Google C3D Memory optimized 4 32768 — — —
c3d-highmem-60 AMD Genoa Google C3D Memory optimized 60 491520 — — —
c3d-highmem-8 AMD Genoa Google C3D Memory optimized 8 65536 — — —
c3d-highmem-90 AMD Genoa Google C3D Memory optimized 90 737280 — — —
c3d-highmem-16-lssd AMD Genoa Google C3D Memory optimized 16 131072 — 375GB NVMe SSD —
c3d-highmem-180-lssd AMD Genoa Google C3D Memory optimized 180 1474560 — 16x 375GB NVMe SSD —
c3d-highmem-30-lssd AMD Genoa Google C3D Memory optimized 30 245760 — 2x 375GB NVMe SSD —
c3d-highmem-360-lssd AMD Genoa Google C3D Memory optimized 360 2949120 — 32x 375GB NVMe SSD —
c3d-highmem-60-lssd AMD Genoa Google C3D Memory optimized 60 491520 — 4x 375GB NVMe SSD —
c3d-highmem-8-lssd AMD Genoa Google C3D Memory optimized 8 65536 — 375GB NVMe SSD —
c3d-highmem-90-lssd AMD Genoa Google C3D Memory optimized 90 737280 — 8x 375GB NVMe SSD —
c3.8xlarge AWS C3 Compute optimized 32 61440 — 2x 320GB SSD —
c3.large AWS C3 Compute optimized 2 3840 — 2x 16GB SSD —
c3.2xlarge AWS C3 Compute optimized 8 15360 — 2x 80GB SSD —
c3.4xlarge AWS C3 Compute optimized 16 30720 — 2x 160GB SSD —
c3.xlarge AWS C3 Compute optimized 4 7680 — 2x 40GB SSD —
C3-4 OVH C3 Compute optimized 2 4000 50GB SSD — —
C3-8 OVH C3 Compute optimized 4 8000 100GB SSD — —
C3-16 OVH C3 Compute optimized 8 16000 200GB SSD — —
C3-32 OVH C3 Compute optimized 16 32000 400GB SSD — —
C3-64 OVH C3 Compute optimized 32 64000 400GB SSD — —
C3-128 OVH C3 Compute optimized 64 128000 400GB SSD — —
c3.15xlarge.2 OTC C3 Compute optimized 60 131072 — — —
c3.large.2 OTC C3 Compute optimized 2 4096 — — —
c3.4xlarge.2 OTC C3 Compute optimized 16 32768 — — —
c3.15xlarge.4 OTC C3 Compute optimized 60 262144 — — —
c3.large.4 OTC C3 Compute optimized 2 8192 — — —
c3.4xlarge.4 OTC C3 Compute optimized 16 65536 — — —
c3.2xlarge.2 OTC C3 Compute optimized 8 16384 — — —
c3.xlarge.2 OTC C3 Compute optimized 4 8192 — — —
c3.8xlarge.2 OTC C3 Compute optimized 32 65536 — — —
c3.xlarge.4 OTC C3 Compute optimized 4 16384 — — —
c3.8xlarge.4 OTC C3 Compute optimized 32 131072 — — —
c3.2xlarge.4 OTC C3 Compute optimized 8 32768 — — —
c3.15xlarge.2 Huawei C3 Compute optimized 60 131072 — — —
c3.15xlarge.4 Huawei C3 Compute optimized 60 262144 — — —
c3.2xlarge.2 Huawei C3 Compute optimized 8 16384 — — —
c3.2xlarge.4 Huawei C3 Compute optimized 8 32768 — — —
c3.3xlarge.2 Huawei C3 Compute optimized 12 24576 — — —
c3.3xlarge.4 Huawei C3 Compute optimized 12 49152 — — —
c3.4xlarge.2 Huawei C3 Compute optimized 16 32768 — — —
c3.4xlarge.4 Huawei C3 Compute optimized 16 65536 — — —
c3.6xlarge.2 Huawei C3 Compute optimized 24 49152 — — —
c3.6xlarge.4 Huawei C3 Compute optimized 24 98304 — — —
c3.8xlarge.2 Huawei C3 Compute optimized 32 65536 — — —
c3.8xlarge.4 Huawei C3 Compute optimized 32 131072 — — —
c3.large.2 Huawei C3 Compute optimized 2 4096 — — —
c3.large.4 Huawei C3 Compute optimized 2 8192 — — —
c3.xlarge.2 Huawei C3 Compute optimized 4 8192 — — —
c3.xlarge.4 Huawei C3 Compute optimized 4 16384 — — —
C3.LARGE8 Tencent C3 Compute optimized 4 8192 — — —
C3.LARGE16 Tencent C3 Compute optimized 4 16384 — — —
C3.2XLARGE16 Tencent C3 Compute optimized 8 16384 — — —
C3.2XLARGE32 Tencent C3 Compute optimized 8 32768 — — —
C3.4XLARGE32 Tencent C3 Compute optimized 16 32768 — — —
C3.4XLARGE64 Tencent C3 Compute optimized 16 65536 — — —
C3.8XLARGE64 Tencent C3 Compute optimized 32 65536 — — —
C3.8XLARGE128 Tencent C3 Compute optimized 32 131072 — — —
C3.8XLARGE180 Tencent C3 Compute optimized 32 184320 — — —
C3.12XLARGE160 Tencent C3 Compute optimized 48 163840 — — —
C3.MEDIUM4 Tencent C3 Compute optimized 2 4096 — — —
C3.MEDIUM8 Tencent C3 Compute optimized 2 8192 — — —
C3.MEDIUM2 Tencent C3 Compute optimized 2 2048 — — —
c3.15xlarge.2 OBS C3 Compute optimized 60 131072 — — —
c3.2xlarge.2 OBS C3 Compute optimized 8 16384 — — —
c3.4xlarge.2 OBS C3 Compute optimized 16 32768 — — —
c3.8xlarge.2 OBS C3 Compute optimized 32 65536 — — —
c3.large.2 OBS C3 Compute optimized 2 4096 — — —
c3.xlarge.2 OBS C3 Compute optimized 4 8192 — — —
c3.medium Fuga C3 General Purpose 2 7680 50GB — —
c3.xlarge Fuga C3 General Purpose 8 30720 200GB — —
c3.2xlarge Fuga C3 General Purpose 12 46080 300GB — —
c3.4xlarge Fuga C3 General Purpose 16 61440 400GB — —
c3.small Fuga C3 General Purpose 1 3840 25GB — —
c3.large Fuga C3 General Purpose 4 15360 100GB — —
c2d-standard-16 AMD Milan Google C2D Standard Milan Compute optimized 16 65536 — — —
c2d-standard-2 AMD Milan Google C2D Standard Milan Compute optimized 2 8192 — — —
c2d-standard-32 AMD Milan Google C2D Standard Milan Compute optimized 32 131072 — — —
c2d-standard-4 AMD Milan Google C2D Standard Milan Compute optimized 4 16384 — — —
c2d-standard-56 AMD Milan Google C2D Standard Milan Compute optimized 56 229376 — — —
c2d-standard-8 AMD Milan Google C2D Standard Milan Compute optimized 8 32768 — — —
c2d-standard-112 AMD Milan Google C2D Standard Milan Compute optimized 112 458752 — — —
c2d-standard-16 AMD Milan SCSI SSD Google C2D Milan SCSI Storage performance 16 65536 — 8x 375GB SSD —
c2d-standard-2 AMD Milan SCSI SSD Google C2D Milan SCSI Storage performance 2 8192 — 375GB SSD —
c2d-standard-32 AMD Milan SCSI SSD Google C2D Milan SCSI Storage performance 32 131072 — 8x 375GB SSD —
c2d-standard-4 AMD Milan SCSI SSD Google C2D Milan SCSI Storage performance 4 16384 — 2x 375GB SSD —
c2d-standard-56 AMD Milan SCSI SSD Google C2D Milan SCSI Storage performance 56 229376 — 8x 375GB SSD —
c2d-standard-8 AMD Milan SCSI SSD Google C2D Milan SCSI Storage performance 8 32768 — 4x 375GB SSD —
c2-standard-16 Intel Cascade Lake SCSI SSD Google C2D Cascade Lake SCSI Storage performance 16 65536 — 8x 375GB SSD —
c2-standard-30 Intel Cascade Lake SCSI SSD Google C2D Cascade Lake SCSI Storage performance 30 122880 — 8x 375GB SSD —
c2-standard-4 Intel Cascade Lake SCSI SSD Google C2D Cascade Lake SCSI Storage performance 4 16384 — 2x 375GB SSD —
c2-standard-60 Intel Cascade Lake SCSI SSD Google C2D Cascade Lake SCSI Storage performance 60 245760 — 8x 375GB SSD —
c2-standard-8 Intel Cascade Lake SCSI SSD Google C2D Cascade Lake SCSI Storage performance 8 32768 — 4x 375GB SSD —
c2-standard-16 Intel Cascade Lake Google C2 Standard Cascade Lake Compute optimized 16 65536 — — —
c2-standard-30 Intel Cascade Lake Google C2 Standard Cascade Lake Compute optimized 30 122880 — — —
c2-standard-4 Intel Cascade Lake Google C2 Standard Cascade Lake Compute optimized 4 16384 — — —
c2-standard-60 Intel Cascade Lake Google C2 Standard Cascade Lake Compute optimized 60 245760 — — —
c2-standard-8 Intel Cascade Lake Google C2 Standard Cascade Lake Compute optimized 8 32768 — — —
WIN-C2-7 OVH C2 Compute optimized 2 7000 50GB SSD — —
C2-7 OVH C2 Compute optimized 2 7000 50GB SSD — —
C2-7-FLEX OVH C2 Compute optimized 2 7000 50GB SSD — —
C2-15 OVH C2 Compute optimized 4 15000 100GB SSD — —
C2-15-FLEX OVH C2 Compute optimized 4 15000 50GB SSD — —
C2-30 OVH C2 Compute optimized 8 30000 200GB SSD — —
C2-30-FLEX OVH C2 Compute optimized 8 30000 50GB SSD — —
C2-60 OVH C2 Compute optimized 16 60000 400GB SSD — —
C2-60-FLEX OVH C2 Compute optimized 16 60000 50GB SSD — —
C2-120 OVH C2 Compute optimized 32 120000 400GB SSD — —
C2-120-FLEX OVH C2 Compute optimized 32 120000 50GB SSD — —
WIN-C2-7-FLEX OVH C2 Compute optimized 2 7000 50GB SSD — —
WIN-C2-15 OVH C2 Compute optimized 4 15000 100GB SSD — —
WIN-C2-15-FLEX OVH C2 Compute optimized 4 15000 50GB SSD — —
WIN-C2-30 OVH C2 Compute optimized 8 30000 200GB SSD — —
WIN-C2-30-FLEX OVH C2 Compute optimized 8 30000 50GB SSD — —
WIN-C2-60 OVH C2 Compute optimized 16 60000 400GB SSD — —
WIN-C2-60-FLEX OVH C2 Compute optimized 16 60000 50GB SSD — —
WIN-C2-120 OVH C2 Compute optimized 32 120000 400GB SSD — —
WIN-C2-120-FLEX OVH C2 Compute optimized 32 120000 50GB SSD — —
c2.xlarge OTC C2 General Purpose 4 8192 — — —
c2.2xlarge OTC C2 General Purpose 8 16384 — — —
c2.medium OTC C2 General Purpose 1 2048 — — —
c2.4xlarge OTC C2 General Purpose 16 32768 — — —
c2.8xlarge OTC C2 General Purpose 32 65536 — — —
c2.large OTC C2 General Purpose 2 4096 — — —
C2.LARGE8 Tencent C2 Compute optimized 4 8192 — — —
C2.LARGE16 Tencent C2 Compute optimized 4 16384 — — —
C2.2XLARGE16 Tencent C2 Compute optimized 8 16384 — — —
C2.2XLARGE32 Tencent C2 Compute optimized 8 32768 — — —
C2.4XLARGE32 Tencent C2 Compute optimized 16 32768 — — —
C2.4XLARGE64 Tencent C2 Compute optimized 16 65536 — — —
C2.8XLARGE96 Tencent C2 Compute optimized 32 98304 — — —
C2.LARGE32 Tencent C2 Compute optimized 4 32768 — — —
C2.8XLARGE64 Tencent C2 Compute optimized 32 65536 — — —
C2.MEDIUM4 Tencent C2 Compute optimized 2 4096 — — —
C2.MEDIUM8 Tencent C2 Compute optimized 2 8192 — — —
C2.MEDIUM2 Tencent C2 Compute optimized 2 2048 — — —
C2.2XLARGE8 Tencent C2 Compute optimized 8 8192 — — —
c2.2xlarge OBS C2 General Purpose 8 16384 — — —
c2.large OBS C2 General Purpose 2 4096 — — —
c2.xlarge OBS C2 General Purpose 4 8192 — — —
ecs.v5-c1m4.large Alibaba C1M4 v5 Compute optimized 2 8192 — — —
ecs.v5-c1m4.8xlarge Alibaba C1M4 v5 Compute optimized 32 131072 — — —
ecs.v5-c1m8.large Alibaba C1M4 v5 Compute optimized 2 16384 — — —
ecs.v5-c1m8.xlarge Alibaba C1M4 v5 Compute optimized 4 32768 — — —
ecs.v5-c1m8.2xlarge Alibaba C1M4 v5 Compute optimized 8 65536 — — —
ecs.v5-c1m8.3xlarge Alibaba C1M4 v5 Compute optimized 12 98304 — — —
ecs.v5-c1m8.4xlarge Alibaba C1M4 v5 Compute optimized 16 131072 — — —
ecs.v5-c1m8.8xlarge Alibaba C1M4 v5 Compute optimized 32 262144 — — —
ecs.v5-c1m4.4xlarge Alibaba C1M4 v5 Compute optimized 16 65536 — — —
ecs.v5-c1m4.3xlarge Alibaba C1M4 v5 Compute optimized 12 49152 — — —
ecs.v5-c1m4.2xlarge Alibaba C1M4 v5 Compute optimized 8 32768 — — —
ecs.v5-c1m4.xlarge Alibaba C1M4 v5 Compute optimized 4 16384 — — —
ecs.v5-c1m1.3xlarge Alibaba C1M1 v5 Compute optimized 12 12288 — — —
ecs.v5-c1m1.4xlarge Alibaba C1M1 v5 Compute optimized 16 16384 — — —
ecs.v5-c1m1.8xlarge Alibaba C1M1 v5 Compute optimized 32 32768 — — —
ecs.v5-c1m1.large Alibaba C1M1 v5 Compute optimized 2 2048 — — —
ecs.v5-c1m1.xlarge Alibaba C1M1 v5 Compute optimized 4 4096 — — —
ecs.v5-c1m1.2xlarge Alibaba C1M1 v5 Compute optimized 8 8192 — — —
c1.medium OTC C1 General Purpose 1 1024 — — —
c1.4xlarge OTC C1 General Purpose 16 16384 — — —
c1.large OTC C1 General Purpose 2 2048 — — —
c1.8xlarge OTC C1 General Purpose 32 32768 — — —
c1.xlarge OTC C1 General Purpose 4 4096 — — —
c1.2xlarge OTC C1 General Purpose 8 8192 — — —
c1.c16r24 Catalyst C1 General Purpose 16 24576 10GB — —
c1.c8r6 Catalyst C1 General Purpose 8 6144 10GB — —
c1.c4r24 Catalyst C1 General Purpose 4 24576 10GB — —
c1.c8r16 Catalyst C1 General Purpose 8 16384 10GB — —
c1.c64r512 Catalyst C1 General Purpose 64 524288 10GB — —
c1.c4r4 Catalyst C1 General Purpose 4 4096 10GB — —
c1.c8r4 Catalyst C1 General Purpose 8 4096 10GB — —
c1.c32r24 Catalyst C1 General Purpose 32 24576 10GB — —
c1.c4r32 Catalyst C1 General Purpose 4 32768 10GB — —
c1.c1r05 Catalyst C1 General Purpose 1 512 10GB — —
c1.c32r32 Catalyst C1 General Purpose 32 32768 10GB — —
c1.c2r4 Catalyst C1 General Purpose 2 4096 10GB — —
c1.c2r16 Catalyst C1 General Purpose 2 16384 10GB — —
c1.c4r16 Catalyst C1 General Purpose 4 16384 10GB — —
c1.c32r64 Catalyst C1 General Purpose 32 65536 10GB — —
c1.c8r8 Catalyst C1 General Purpose 8 8192 10GB — —
c1.c2r8 Catalyst C1 General Purpose 2 8192 10GB — —
c1.c8r24 Catalyst C1 General Purpose 8 24576 10GB — —
c1.c16r64 Catalyst C1 General Purpose 16 65536 10GB — —
c1.c32r16 Catalyst C1 General Purpose 32 16384 10GB — —
c1.c16r8 Catalyst C1 General Purpose 16 8192 10GB — —
c1.c8r64 Catalyst C1 General Purpose 8 65536 10GB — —
c1.c4r2 Catalyst C1 General Purpose 4 2048 10GB — —
c1.c16r96 Catalyst C1 General Purpose 16 98304 10GB — —
c1.c16r256 Catalyst C1 General Purpose 16 262144 10GB — —
c1.c1r1 Catalyst C1 General Purpose 1 1024 10GB — —
c1.c1r4 Catalyst C1 General Purpose 1 4096 10GB — —
c1.c16r16 Catalyst C1 General Purpose 16 16384 10GB — —
c1.c1r2 Catalyst C1 General Purpose 1 2048 10GB — —
c1.c8r32 Catalyst C1 General Purpose 8 32768 10GB — —
c1.c32r128 Catalyst C1 General Purpose 32 131072 10GB — —
c1.c4r6 Catalyst C1 General Purpose 4 6144 10GB — —
c1.c2r2 Catalyst C1 General Purpose 2 2048 10GB — —
c1.c32r512 Catalyst C1 General Purpose 32 524288 10GB — —
c1.c2r6 Catalyst C1 General Purpose 2 6144 10GB — —
c1.c16r32 Catalyst C1 General Purpose 16 32768 10GB — —
c1.c32r96 Catalyst C1 General Purpose 32 98304 10GB — —
c1.c32r256 Catalyst C1 General Purpose 32 262144 10GB — —
c1.c4r8 Catalyst C1 General Purpose 4 8192 10GB — —
c1.c16r128 Catalyst C1 General Purpose 16 131072 10GB — —
c1.2xlarge OBS C1 General Purpose 8 8192 — — —
c1.4xlarge OBS C1 General Purpose 16 16384 — — —
c1.large OBS C1 General Purpose 2 2048 — — —
c1.xlarge OBS C1 General Purpose 4 4096 — — —
Standard_B2s_v2 Azure Bs_v2 Burstable performance 2 8192 — — —
Standard_B4s_v2 Azure Bs_v2 Burstable performance 4 16384 — — —
Standard_B8s_v2 Azure Bs_v2 Burstable performance 8 32768 — — —
Standard_B16s_v2 Azure Bs_v2 Burstable performance 16 65536 — — —
Standard_B32s_v2 Azure Bs_v2 Burstable performance 32 131072 — — —
Standard_B1s Azure Bs Burstable performance 1 1024 — 4GB —
Standard_B2s Azure Bs Burstable performance 2 4096 — 8GB —
Standard_B2ps_v2 Azure Bpts_v2 Burstable performance 2 8192 — — —
Standard_B4ps_v2 Azure Bpts_v2 Burstable performance 4 16384 — — —
Standard_B8ps_v2 Azure Bpts_v2 Burstable performance 8 32768 — — —
Standard_B16ps_v2 Azure Bpts_v2 Burstable performance 16 65536 — — —
Standard_B2pls_v2 Azure Bpls_v2 Burstable performance 2 4096 — — —
Standard_B4pls_v2 Azure Bpls_v2 Burstable performance 4 8192 — — —
Standard_B8pls_v2 Azure Bpls_v2 Burstable performance 8 16384 — — —
Standard_B16pls_v2 Azure Bpls_v2 Burstable performance 16 32768 — — —
Standard_B1ms Azure Bms Burstable performance 1 2048 — 4GB —
Standard_B2ms Azure Bms Burstable performance 2 8192 — 16GB —
Standard_B4ms Azure Bms Burstable performance 4 16384 — 64GB —
Standard_B8ms Azure Bms Burstable performance 8 32768 — 64GB —
Standard_B12ms Azure Bms Burstable performance 12 49152 — 96GB —
Standard_B16ms Azure Bms Burstable performance 16 65536 — 128GB —
Standard_B20ms Azure Bms Burstable performance 20 81920 — 160GB —
Standard_B2ls_v2 Azure Bls_v2 Tiny 2 4096 — — —
Standard_B4ls_v2 Azure Bls_v2 Tiny 4 8192 — — —
Standard_B8ls_v2 Azure Bls_v2 Tiny 8 16384 — — —
Standard_B16ls_v2 Azure Bls_v2 Tiny 16 32768 — — —
Standard_B32ls_v2 Azure Bls_v2 Tiny 32 65536 — — —
Standard_B1ls Azure Bls Tiny 1 512 — 4GB —
Standard_B2as_v2 Azure Bats_v2 Burstable performance 2 8192 — — —
Standard_B4as_v2 Azure Bats_v2 Burstable performance 4 16384 — — —
Standard_B8as_v2 Azure Bats_v2 Burstable performance 8 32768 — — —
Standard_B16as_v2 Azure Bats_v2 Burstable performance 16 65536 — — —
Standard_B32as_v2 Azure Bats_v2 Burstable performance 32 131072 — — —
bc1-32x128 IBM Balanced Gen1 General Purpose 32 131072 — — —
bc1-8x32 IBM Balanced Gen1 General Purpose 8 32768 — — —
bc1-48x192 IBM Balanced Gen1 General Purpose 48 196608 — — —
bc1-2x8 IBM Balanced Gen1 General Purpose 2 8192 — — —
bc1-62x248 IBM Balanced Gen1 General Purpose 62 253952 — — —
bc1-16x64 IBM Balanced Gen1 General Purpose 16 65536 — — —