Tessell compute shapes

Tessell offers a large number of compute shapes that you can choose depending on your workload type. A compute shape determines the number of VCPUs, the amount of memory and storage that gets allocated to your instance. With Tessell, you can choose from a variety of compute shapes for both AWS, Azure and GCP cloud for your high performance and standard workloads. All compute shapes support the x86 architecture.

High performance compute shapes

High Performance compute shapes for AWS and Azure come with the specified VCPUs, memory, storage, and Read/Write IOPS.

AWS

This table provides lists the compute shapes for your high performance databases hosted on the AWS cloud platform:

Name
AWS Shape
vCPUs
Family

tesl_12h_a

i3en.3xlarge

12

tesl_12h

tesl_16h_a

i4i.4xlarge

16

tesl_16h

tesl_16h_a_p

i3.4xlarge

16

tesl_16h

tesl_24h_a

i3en.6xlarge

24

tesl_24h

tesl_2h_a

i4i.large

2

tesl_2h

tesl_2h_a_p

i3.large

2

tesl_2h

tesl_2h_c

i3en.large

2

tesl_2h

tesl_32h_a

i4i.8xlarge

32

tesl_32h

tesl_32h_a_p

i3.8xlarge

32

tesl_32h

tesl_48h_a

i3en.12xlarge

48

tesl_48h

tesl_4h_a

i4i.xlarge

4

tesl_4h

tesl_4h_a_p

i3.xlarge

4

tesl_4h

tesl_4h_c

i3en.xlarge

4

tesl_4h

tesl_64h_a

i4i.16xlarge

64

tesl_64h

tesl_64h_a_p

i3.16xlarge

64

tesl_64h

tesl_8h_a

i4i.2xlarge

8

tesl_8h

tesl_8h_a_p

i3.2xlarge

8

tesl_8h

tesl_8h_c

i3en.2xlarge

8

tesl_8h

tesl_i7i_16

i7i.4xlarge

16

tesl_16h

tesl_i7ie_24

i7ie.6xlarge

24

tesl_24h

Azure

This table lists the compute shapes for your high performance databases hosted on the Azure cloud platform:

Name
Azure Shape
vCPUs
Family

tesl_8h_a

Standard_L8s_v3

8

tesl_8h

tesl_16h_a

Standard_L16s_v3

16

tesl_16h

tesl_32h_a

Standard_L32s_v3

32

tesl_32h

tesl_48h_a

Standard_L48s_v3

48

tesl_48h

tesl_64h_a

Standard_L64s_v3

64

tesl_64h

tesl_80h_a

Standard_L80s_v3

80

tesl_80h

Standard performance compute shapes

Standard performance compute shapes come with the specified VCPUs along with standard storage that is expandable depending on the shape that you choose.

AWS

This table lists the compute shapes for your standard performance databases hosted on the AWS cloud platform:

Name
AWS Shape
vCPUs
Family

tesl_16_a

m5.4xlarge16

16

tesl_16

tesl_16_b

r5.4xlarge

16

tesl_16

tesl_16_b_a

r6a.4xlarge

16

tesl_16

tesl_2_a

t3.medium

2

tesl_2

tesl_2_b

m5.large

2

tesl_2

tesl_2_c

r5.large

2

tesl_2

tesl_2_c_a

r6a.large

2

tesl_2

tesl_32_a

m5.8xlarge

32

tesl_32

tesl_4_a

m5.xlarge

4

tesl_4

tesl_4_b

r5.xlarge

4

tesl_4

tesl_4_b_a

r6a.xlarge

4

tesl_4

tesl_8_a

m5.2xlarge

8

tesl_8

tesl_8_b

r5.2xlarge

8

tesl_8

tesl_8_b_a

r6a.2xlarge

8

tesl_8

tesl_8_c

t3a.2xlarge

8

tesl_8

tesl_96_b_a

r5.24xlarge

96

tesl_96

tesl_c5a_16

c5a.4xlarge

16

tesl_16

tesl_c5a_2

c5a.large

2

tesl_2

tesl_c5a_32

c5a.8xlarge

32

tesl_32

tesl_c5a_4

c5a.xlarge

4

tesl_4

tesl_c5a_48

c5a.12xlarge

48

tesl_48

tesl_c5a_64

c5a.16xlarge

64

tesl_64

tesl_c5a_8

c5a.2xlarge

8

tesl_8

tesl_c5a_96

c5a.24xlarge

96

tesl_96

tesl_c6a_128

c6a.32xlarge

128

tesl_128

tesl_c6a_16

c6a.4xlarge

16

tesl_16

tesl_c6a_192

c6a.48xlarge

192

tesl_192

tesl_c6a_2

c6a.large

2

tesl_2

tesl_c6a_32

c6a.8xlarge

32

tesl_32

tesl_c6a_4

c6a.xlarge

4

tesl_4

tesl_c6a_48

c6a.12xlarge

48

tesl_48

tesl_c6a_64

c6a.16xlarge

64

tesl_64

tesl_c6a_8

c6a.2xlarge

8

tesl_8

tesl_c6a_96

c6a.24xlarge

96

tesl_96

tesl_c6i_128

c6i.32xlarge

128

tesl_128

tesl_c6i_16

c6i.4xlarge

16

tesl_16

tesl_c6i_2

c6i.large

2

tesl_2

tesl_c6i_32

c6i.8xlarge

32

tesl_32

tesl_c6i_4

c6i.xlarge

4

tesl_4

tesl_c6i_48

c6i.12xlarge

48

tesl_48

tesl_c6i_64

c6i.16xlarge

64

tesl_64

tesl_c6i_8

c6i.2xlarge

8

tesl_8

tesl_c6i_96

c6i.24xlarge

96

tesl_96

tesl_c7a_128

c7a.32xlarge

128

tesl_128

tesl_c7a_16

c7a.4xlarge

16

tesl_16

tesl_c7a_192

c7a.48xlarge

192

tesl_192

tesl_c7a_2

c7a.large

2

tesl_2

tesl_c7a_32

c7a.8xlarge

32

tesl_32

tesl_c7a_4

c7a.xlarge

4

tesl_4

tesl_c7a_48

c7a.12xlarge

48

tesl_48

tesl_c7a_64

c7a.16xlarge

64

tesl_64

tesl_c7a_8

c7a.2xlarge

8

tesl_8

tesl_c7a_96

c7a.24xlarge

96

tesl_96

tesl_c7i_16

c7i.4xlarge

16

tesl_16

tesl_c7i_192

c7i.48xlarge

192

tesl_192

tesl_c7i_2

c7i.large

2

tesl_2

tesl_c7i_32

c7i.8xlarge

32

tesl_32

tesl_c7i_4

c7i.xlarge

4

tesl_4

tesl_c7i_48

c7i.12xlarge

48

tesl_48

tesl_c7i_64

c7i.16xlarge

64

tesl_64

tesl_c7i_8

c7i.2xlarge

8

tesl_8

tesl_c7i_96

c7i.24xlarge

96

tesl_96

tesl_m5a_16

m5a.4xlarge

16

tesl_16

tesl_m5a_2

m5a.large

2

tesl_2

tesl_m5a_32

m5a.8xlarge

32

tesl_32

tesl_m5a_4

m5a.xlarge

4

tesl_4

tesl_m5a_48

m5a.12xlarge

48

tesl_48

tesl_m5a_64

m5a.16xlarge

64

tesl_64

tesl_m5a_8

m5a.2xlarge

8

tesl_8

tesl_m5a_96

m5a.24xlarge

96

tesl_96

tesl_m6a_128

m6a.32xlarge

128

tesl_128

tesl_m6a_16

m6a.4xlarge

16

tesl_16

tesl_m6a_192

m6a.48xlarge

192

tesl_192

tesl_m6a_2

m6a.large

2

tesl_2

tesl_m6a_32

m6a.8xlarge

32

tesl_32

tesl_m6a_4

m6a.xlarge

4

tesl_4

tesl_m6a_48

m6a.12xlarge

48

tesl_48

tesl_m6a_64

m6a.16xlarge

64

tesl_64

tesl_m6a_8

m6a.2xlarge

8

tesl_8

tesl_m6a_96

m6a.24xlarge

96

tesl_96

tesl_m6i_128

m6i.32xlarge

128

tesl_128

tesl_m6i_16

m6i.4xlarge

16

tesl_16

tesl_m6i_2

m6i.large

2

tesl_2

tesl_m6i_32

m6i.8xlarge

32

tesl_32

tesl_m6i_4

m6i.xlarge

4

tesl_4

tesl_m6i_48

m6i.12xlarge

48

tesl_48

tesl_m6i_64

m6i.16xlarge

64

tesl_64

tesl_m6i_8

m6i.2xlarge

8

tesl_8

tesl_m6i_96

m6i.24xlarge

96

tesl_96

tesl_r5b_4

r5b.xlarge

4

tesl_4

tesl_r6a_128

r6a.32xlarge

128

tesl_128

tesl_r6a_192

r6a.48xlarge

192

tesl_192

tesl_r6a_32

r6a.8xlarge

32

tesl_32

tesl_r6a_48

r6a.12xlarge

48

tesl_48

tesl_r6a_64

r6a.16xlarge

64

tesl_64

tesl_r6a_96

r6a.24xlarge

96

tesl_96

tesl_r6i_128

r6i.32xlarge

128

tesl_128

tesl_r6i_16

r6i.4xlarge

16

tesl_16

tesl_r6i_2

r6i.large

2

tesl_2

tesl_r6i_32

r6i.8xlarge

32

tesl_32

tesl_r6i_4

r6i.xlarge

4

tesl_4

tesl_r6i_48

r6i.12xlarge

48

tesl_48

tesl_r6i_64

r6i.16xlarge

64

tesl_64

tesl_r6i_8

r6i.2xlarge

8

tesl_8

tesl_r6i_96

r6i.24xlarge

96

tesl_96

tesl_r6in_128

r6in.32xlarge

128

tesl_128

tesl_r7a_16

r7a.4xlarge

16

tesl_16

tesl_r7a_192

r7a.48xlarge

192

tesl_192

tesl_r7a_2

r7a.large

2

tesl_2

tesl_r7a_32

r7a.8xlarge

32

tesl_32

tesl_r7a_4

r7a.xlarge

4

tesl_4

tesl_r7a_8

r7a.2xlarge

8

tesl_8

tesl_r7i_16

r7i.4xlarge

16

tesl_16

tesl_r7i_2

r7i.large

2

tesl_2

tesl_r7i_32

r7i.8xlarge

32

tesl_32

tesl_r7i_4

r7i.xlarge

4

tesl_4

tesl_r7i_48

r7i.12xlarge

48

tesl_48

tesl_r7i_64

r7i.16xlarge

64

tesl_64

tesl_r7i_8

r7i.2xlarge

8

tesl_8

tesl_r7i_96

r7i.24xlarge

96

tesl_96

tesl_x2idn_128

x2idn.32xlarge

128

tesl_128

tesl_x2idn_64

x2idn.16xlarge

64

tesl_64

tesl_x2idn_96

x2idn.24xlarge

96

tesl_96

tesl_x2iedn_16

x2iedn.4xlarge

16

tesl_16

tesl_x2iedn_4

x2iedn.xlarge

4

tesl_4

Azure

This table lists the compute shapes for your standard performance databases hosted on the Azure cloud platform:

Name
Azure Shape
vCPUs
Family

tesl_128_a

Standard_M128ms_v2

128

tesl_128

tesl_128_a-32

Standard_M128-32ms

32

tesl_32

tesl_128_a-64

Standard_M128-64ms

64

tesl_64

tesl_16_a

Standard_D16as_V5

16

tesl_16

tesl_16_b

Standard_E16as_V5

16

tesl_16

tesl_16_b-8

Standard_E16-8as_V5

8

tesl_8

tesl_192_a

Standard_M192is_v2

192

tesl_192

tesl_192_b

Standard_M192ims_v2

192

tesl_192

tesl_208_a

Standard_M208s_v2

208

tesl_208

tesl_20_a

Standard_E20as_V5

20

tesl_20

tesl_32_a

Standard_D32as_V5

32

tesl_32

tesl_32_b

Standard_E32as_v5

32

tesl_32

tesl_32_c

Standard_M32ms_v2

32

tesl_32

tesl_32_c-16

Standard_M32-16ms

16

tesl_16

tesl_32_c-8

Standard_M32-8ms

8

tesl_8

tesl_32_d

Standard_E32s_v5

32

tesl_32

tesl_32_d-8

Standard_E32-8s_v5

8

tesl_8

tesl_48_a

Standard_D48as_v5

48

tesl_48

tesl_48_b

Standard_E48as_v5

48

tesl_48

tesl_4_a

Standard_D4as_V5

4

tesl_4

tesl_4_b

Standard_E4as_V5

4

tesl_4

tesl_4_b-2

Standard_E4-2as_V5

2

tesl_2

tesl_64_a

Standard_D64as_v5

64

tesl_64

tesl_64_b

Standard_E64as_v5

64

tesl_64

tesl_64_c

Standard_M64ms_v2

64

tesl_64

tesl_64_c-16

Standard_M64-16ms

16

tesl_16

tesl_64_c-32

Standard_M64-32ms

32

tesl_32

tesl_8_a

Standard_D8as_V5

8

tesl_8

tesl_8_b

Standard_E8as_V5

8

tesl_8

tesl_96_a

Standard_D96as_v5

96

tesl_96

tesl_96_b

Standard_E96as_v5

96

tesl_96

tesl_96_c

Standard_E96s_v5

96

tesl_96

tesl_96_c-24

Standard_E96-24s_v5

24

tesl_24

tesl_E16sv6_4

Standard_E16-4s_v6

4

tesl_4

tesl_E16sv6_8

Standard_E16-8s_v6

8

tesl_8

tesl_E32sv6_16

Standard_E32-16s_v6

16

tesl_16

tesl_E32sv6_8

Standard_E32-8s_v6

8

tesl_8

tesl_E4sv6_2

Standard_E4-2s_v6

2

tesl_2

tesl_E64sv6_16

Standard_E64-16s_v6

16

tesl_16

tesl_E64sv6_32

Standard_E64-32s_v6

32

tesl_32

tesl_E8sv6_2

Standard_E8-2s_v6

2

tesl_2

tesl_E8sv6_4

Standard_E8-4s_v6

4

tesl_4

tesl_E96sv6_24

Standard_E96-24s_v6

24

tesl_24

tesl_E96sv6_48

Standard_E96-48s_v6

48

tesl_48

tesl_Easv5_16-4

Standard_E16-4as_v5

4

tesl_4

tesl_Easv5_32-16

Standard_E32-16as_v5

16

tesl_16

tesl_Easv5_32-8

Standard_E32-8as_v5

8

tesl_8

tesl_Easv5_64-16

Standard_E64-16as_v5

16

tesl_16

tesl_Easv5_64-32

Standard_E64-32as_v5

32

tesl_32

tesl_Easv5_8-2

Standard_E8-2as_v5

2

tesl_2

tesl_Easv5_8-4

Standard_E8-4as_v5

4

tesl_4

tesl_Easv5_96-24

Standard_E96-24as_v5

24

tesl_24

tesl_Easv5_96-48

Standard_E96-48as_v5

48

tesl_48

tesl_Easv6_16

Standard_E16as_v6

16

tesl_16

tesl_Easv6_20

Standard_E20as_v6

20

tesl_20

tesl_Easv6_32

Standard_E32as_v6

32

tesl_32

tesl_Easv6_4

Standard_E4as_v6

4

tesl_4

tesl_Easv6_48

Standard_E48as_v6

48

tesl_48

tesl_Easv6_64

Standard_E64as_v6

64

tesl_64

tesl_Easv6_8

Standard_E8as_v6

8

tesl_8

tesl_Easv6_96

Standard_E96as_v6

96

tesl_96

tesl_Ebdsv5_64

Standard_E64bds_v5

64

tesl_64

tesl_Ebsv5_16

Standard_E16bs_v5

16

tesl_16

tesl_Ebsv5_32

Standard_E32bs_v5

32

tesl_32

tesl_Ebsv5_4

Standard_E4bs_v5

4

tesl_4

tesl_Ebsv5_48

Standard_E48bs_v5

48

tesl_48

tesl_Ebsv5_64

Standard_E64bs_v5

64

tesl_64

tesl_Ebsv5_8

Standard_E8bs_v5

8

tesl_8

tesl_Ebsv5_96

Standard_E96bs_v5

96

tesl_96

tesl_Eiasv5_112

Standard_E112ias_v5

112

tesl_112

tesl_Eisv5_104

Standard_E104is_v5

104

tesl_104

tesl_Esv5_16

Standard_E16s_v5

16

tesl_16

tesl_Esv5_16-4

Standard_E16-4s_v5

4

tesl_4

tesl_Esv5_16-8

Standard_E16-8s_v5

8

tesl_8

tesl_Esv5_20

Standard_E20s_v5

20

tesl_20

tesl_Esv5_32-16

Standard_E32-16s_v5

16

tesl_16

tesl_Esv5_4

Standard_E4s_v5

4

tesl_4

tesl_Esv5_4-2

Standard_E4-2s_v5

2

tesl_2

tesl_Esv5_48

Standard_E48s_v5

48

tesl_48

tesl_Esv5_64

Standard_E64s_v5

64

tesl_64

tesl_Esv5_64-16

Standard_E64-16s_v5

16

tesl_16

tesl_Esv5_64-32

Standard_E64-32s_v5

32

tesl_32

tesl_Esv5_8

Standard_E8s_v5

8

tesl_8

tesl_Esv5_8-2

Standard_E8-2s_v5

2

tesl_2

tesl_Esv5_8-4

Standard_E8-4s_v5

4

tesl_4

tesl_Esv5_96-48

Standard_E96-48s_v5

48

tesl_48

tesl_Esv6_16

Standard_E16s_v6

16

tesl_16

tesl_Esv6_2

Standard_E2s_v6

2

tesl_2

tesl_Esv6_20

Standard_E20s_v6

20

tesl_20

tesl_Esv6_32

Standard_E32s_v6

32

tesl_32

tesl_Esv6_4

Standard_E4s_v6

4

tesl_4

tesl_Esv6_48

Standard_E48s_v6

48

tesl_48

tesl_Esv6_64

Standard_E64s_v6

64

tesl_64

tesl_Esv6_8

Standard_E8s_v6

8

tesl_8

tesl_Esv6_96

Standard_E96s_v6

96

tesl_96

tesl_M16-4ms

Standard_M16-4ms

4

tesl_4

tesl_M8-4ms

Standard_M8-4ms

4

tesl_4

tesl_Ms4v3_176

Standard_M176s_4_v3

176

tesl_176

tesl_basv2_16

Standard_B16as_v2

16

tesl_16

tesl_basv2_32

Standard_B32as_v2

32

tesl_32

GCP

This table lists the compute shapes for your standard performance databases hosted on the Google cloud platform:

Name
VCPUs
Memory (GiB)
Cores
Description
Workload type

c3d-highcpu-4

4

8

4

4 vCPUs, 8 GB RAM

highcpu

c3d-highcpu-8

8

16

8

8 vCPUs, 16 GB RAM

highcpu

c3d-highcpu-16

16

32

16

16 vCPUs, 32 GB RAM

highcpu

c3d-highcpu-30

30

59

30

30 vCPUs, 59 GB RAM

highcpu

c3d-highcpu-60

60

118

60

60 vCPUs, 118 GB RAM

highcpu

c3d-highcpu-90

90

177

90

90 vCPUs, 177 GB RAM

highcpu

c3d-highcpu-180

180

354

180

180 vCPUs, 354 GB RAM

highcpu

c3d-highcpu-360

360

708

360

360 vCPUs, 708 GB RAM

highcpu

c3d-highmem-4

4

32

4

4 vCPUs, 32 GB RAM

highmem

c3d-highmem-8

8

64

8

8 vCPUs, 64 GB RAM

highmem

c3d-highmem-16

16

128

16

16 vCPUs, 128 GB RAM

highmem

c3d-highmem-30

30

240

30

30 vCPUs, 240 GB RAM

highmem

c3d-highmem-60

60

480

60

60 vCPUs, 480 GB RAM

highmem

c3d-highmem-90

90

720

90

90 vCPUs, 720 GB RAM

highmem

c3d-highmem-180

180

1440

180

180 vCPUs, 1440 GB RAM

highmem

c3d-highmem-360

360

2880

360

360 vCPUs, 2880 GB RAM

highmem

c3d-standard-4

4

16

4

4 vCPUs, 16 GB RAM

standard

c3d-standard-8

8

32

8

8 vCPUs, 32 GB RAM

standard

c3d-standard-16

16

64

16

16 vCPUs, 64 GB RAM

standard

c3d-standard-30

30

120

30

30 vCPUs, 120 GB RAM

standard

c3d-standard-60

60

240

60

60 vCPUs, 240 GB RAM

standard

c3d-standard-90

90

360

90

90 vCPUs, 360 GB RAM

standard

c3d-standard-180

180

720

180

180 vCPUs, 720 GB RAM

standard

c3d-standard-360

360

1440

360

360 vCPUs, 1440 GB RAM

standard

c4-highcpu-2

2

4

2

2 vCPUs, 4 GB RAM

highcpu

c4-highcpu-4

4

8

4

4 vCPUs, 8 GB RAM

highcpu

c4-highcpu-8

8

16

8

8 vCPUs, 16 GB RAM

highcpu

c4-highcpu-16

16

32

16

16 vCPUs, 32 GB RAM

highcpu

c4-highcpu-32

32

64

32

32 vCPUs, 64 GB RAM

highcpu

c4-highcpu-48

48

96

48

48 vCPUs, 96 GB RAM

highcpu

c4-highcpu-96

96

192

96

96 vCPUs, 192 GB RAM

highcpu

c4-highcpu-192

192

384

192

192 vCPUs, 384 GB RAM

highcpu

c4-highmem-2

2

15

2

2 vCPUs, 15 GB RAM

highmem

c4-highmem-4

4

31

4

4 vCPUs, 31 GB RAM

highmem

c4-highmem-8

8

62

8

8 vCPUs, 62 GB RAM

highmem

c4-highmem-16

16

124

16

16 vCPUs, 124 GB RAM

highmem

c4-highmem-32

32

248

32

32 vCPUs, 248 GB RAM

highmem

c4-highmem-48

48

372

48

48 vCPUs, 372 GB RAM

highmem

c4-highmem-96

96

744

96

96 vCPUs, 744 GB RAM

highmem

c4-highmem-192

192

1488

192

192 vCPUs, 1488 GB RAM

highmem

c4-standard-2

2

7

2

2 vCPUs, 7 GB RAM

standard

c4-standard-4

4

15

4

4 vCPUs, 15 GB RAM

standard

c4-standard-8

8

30

8

8 vCPUs, 30 GB RAM

standard

c4-standard-16

16

60

16

16 vCPUs, 60 GB RAM

standard

c4-standard-32

32

120

32

32 vCPUs, 120 GB RAM

standard

c4-standard-48

48

180

48

48 vCPUs, 180 GB RAM

standard

c4-standard-96

96

360

96

96 vCPUs, 360 GB RAM

standard

c4-standard-192

192

720

192

192 vCPUs, 720 GB RAM

standard

h3-standard-88

88

352

88

88 vCPUs, 352 GB RAM

standard

m1-ultramem-40

40

961

40

40 vCPUs, 961 GB RAM

standard

m1-ultramem-80

80

1922

80

80 vCPUs, 1922 GB RAM

standard

m1-megamem-96

96

1433

96

96 vCPUs, 1.4 TB RAM

standard

m1-ultramem-160

160

3844

160

160 vCPUs, 3844 GB RAM

standard

m2-ultramem-208

208

5888

208

208 vCPUs, 5.75 TB RAM

standard

m2-megamem-416

416

5888

416

416 vCPUs, 5.75 TB RAM

standard

m2-hypermem-416

416

8832

416

416 vCPUs, 8.625 TB RAM

standard

m2-ultramem-416

416

11776

416

416 vCPUs, 11.50 TB RAM

standard

n4-highcpu-2

2

4

2

2 vCPUs, 4 GB RAM

highcpu

n4-highcpu-4

4

8

4

4 vCPUs, 8 GB RAM

highcpu

n4-highcpu-8

8

16

8

8 vCPUs, 16 GB RAM

highcpu

n4-highcpu-16

16

32

16

16 vCPUs, 32 GB RAM

highcpu

n4-highcpu-32

32

64

32

32 vCPUs, 64 GB RAM

highcpu

n4-highcpu-48

48

96

48

48 vCPUs, 96 GB RAM

highcpu

n4-highcpu-64

64

128

64

64 vCPUs, 128 GB RAM

highcpu

n4-highcpu-80

80

160

80

80 vCPUs, 160 GB RAM

highcpu

n4-highmem-2

2

16

2

2 vCPUs, 16 GB RAM

highmem

n4-highmem-4

4

32

4

4 vCPUs, 32 GB RAM

highmem

n4-highmem-8

8

64

8

8 vCPUs, 64 GB RAM

highmem

n4-highmem-16

16

128

16

16 vCPUs, 128 GB RAM

highmem

n4-highmem-32

32

256

32

32 vCPUs, 256 GB RAM

highmem

n4-highmem-48

48

384

48

48 vCPUs, 384 GB RAM

highmem

n4-highmem-64

64

512

64

64 vCPUs, 512 GB RAM

highmem

n4-highmem-80

80

640

80

80 vCPUs, 640 GB RAM

highmem

n4-standard-2

2

8

2

2 vCPUs, 8 GB RAM

standard

n4-standard-4

4

16

4

4 vCPUs, 16 GB RAM

standard

n4-standard-8

8

32

8

8 vCPUs, 32 GB RAM

standard

n4-standard-16

16

64

16

16 vCPUs, 64 GB RAM

standard

n4-standard-32

32

128

32

32 vCPUs, 128 GB RAM

standard

n4-standard-48

48

192

48

48 vCPUs, 192 GB RAM

standard

n4-standard-64

64

256

64

64 vCPUs, 256 GB RAM

standard

n4-standard-80

80

320

80

80 vCPUs, 320 GB RAM

standard

x4-megamem-960-metal

960

16384

960

960 vCPUs

standard

x4-megamem-1440-metal

1440

24576

1440

1440 vCPUs

standard

x4-megamem-1920-metal

1920

32768

1920

1920 vCPUs

standard

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