VM Types
Instance types determine the hardware characteristics of your virtual machines (VMs).
You must specify a VM type when you launch a VM, but you can also modify the VM type later on. For more information, see Creating / Launching VMs and Modifying a VM Attribute.
Characteristics
A VM type determines the hardware characteristics of your VM, including:
-
Compute characteristics: CPU generation, number of vCPUs, amount of memory, and performance flag.
-
Network characteristics: maximum number of NICs you can attach, and maximum number of private IPs you can assign per NIC. For more information, see About NICs.
The CPU generation is a value that corresponds to a family of Intel CPUs:
-
v3: Intel Haswell
-
v4: Intel Broadwell
-
v5: Intel Skylake
-
v6: Intel Ice Lake
|
The v3 and v4 generations will soon reach their End of Sales (EOS) and End of Support and Maintenance (EOSM) statuses. For more information, see End-of-Life Policy. |
For more information about these CPU families, see the official Intel documentation.
The performance flag is a value that determines the overall performance of the vCPUs:
-
1 (highest): Maximum compute capacity on all the vCPUs of the VM. This value is ideal for intensive compute applications that require stable performances during the VM lifecycle.
-
2 (high): High compute capacity on all the vCPUs of the VM. This value applies to most cases and offers varying performances over time.
-
3 (medium): Performance with significant variability on all the vCPUs of the VM. This option does not guarantee consistent performance, but is ideal for machines with low CPU demand.
Available VM Types
TINA Type
The TINA type enables you to fully customize the compute characteristics of your VM.
When you specify a TINA type for a VM, you must follow the tinavW.cXrYpZ format, where W is the CPU generation, X is the number of vCPUs, Y is the amount of memory, and Z is the performance flag.
|
Specifying the CPU generation, number of vCPUs and amount of memory of the VM is mandatory. Only the performance flag is optional. |
| Name | CPU Generation | vCPUs | Memory (in GiB) | Performance Flag | Max. Number of NICs (Including Primary Network Interface) | Max. Number of Private IPs Per NIC (Including Primary IP) |
|---|---|---|---|---|---|---|
tinavW.cXrYpZ |
A value between 3 and 6 |
A value between 1 and 78 |
A value between 1 and 1039 |
A value between 1 and 3 |
8 |
10 |
AWS Types
AWS types are predefined VM types. They include:
-
Instance types named after those of AWS. They are provided for compatibility purposes.
-
Instance types unique to 3DS OUTSCALE, but named according to a similar naming pattern as AWS. In the table below, their family is marked with an asterisk (*).
Each AWS type has a corresponding TINA type in terms of compute characteristics, but they differ in terms of NIC characteristics.
|
The following table presents the available AWS types. You can also list them by API using the ReadVmTypes or DescribeInstanceTypes methods. |
| Name | Family | Corresponding TINA Type | CPU Generation | vCPUs | Memory (in GiB) | Performance Flag | Max. Number of NICs (Including Primary Network Interface) | Max. Number of Private IPs per NIC (Including Primary IP) | Notes |
|---|---|---|---|---|---|---|---|---|---|
c4.2xlarge |
Compute optimized |
tinav4.c8r15p1 |
v4 |
8 |
15 |
1 |
4 |
15 |
|
c4.4xlarge |
Compute optimized |
tinav4.c16r31p1 |
v4 |
16 |
31 |
1 |
8 |
30 |
|
c4.8xlarge |
Compute optimized |
tinav4.c36r61p1 |
v4 |
36 |
61 |
1 |
8 |
30 |
|
c4.large |
Compute optimized |
tinav4.c2r4p1 |
v4 |
2 |
4 |
1 |
3 |
10 |
|
c4.xlarge |
Compute optimized |
tinav4.c4r8p1 |
v4 |
4 |
8 |
1 |
4 |
15 |
|
c5.18xlarge |
Compute optimized |
tinav5.c72r147p1 |
v5 |
72 |
147 |
1 |
8 |
30 |
|
c5.2xlarge |
Compute optimized |
tinav5.c8r16p1 |
v5 |
8 |
16 |
1 |
4 |
15 |
|
c5.4xlarge |
Compute optimized |
tinav5.c16r33p1 |
v5 |
16 |
33 |
1 |
8 |
30 |
|
c5.8xlarge |
Compute optimized |
tinav5.c36r74p1 |
v5 |
36 |
74 |
1 |
8 |
30 |
|
c5.9xlarge |
Compute optimized |
tinav5.c36r72p1 |
v5 |
36 |
72 |
1 |
8 |
30 |
|
c5.large |
Compute optimized |
tinav5.c2r4p1 |
v5 |
2 |
4 |
1 |
3 |
10 |
|
c5.xlarge |
Compute optimized |
tinav5.c4r8p1 |
v5 |
4 |
8 |
1 |
4 |
15 |
|
g2.2xlarge |
Accelerated computing |
tinav2.c8r15p1 |
v2 |
8 |
15 |
1 |
4 |
15 |
Provides 1 dedicated GPU (nvidia-k2) |
g2.8xlarge |
Accelerated computing |
tinav2.c32r60p1 |
v2 |
32 |
60 |
1 |
4 |
15 |
Provides 4 dedicated GPUs (nvidia-k2) |
g3.16xlarge |
Accelerated computing |
tinav3.c64r500p1 |
v3 |
64 |
500 |
1 |
15 |
50 |
Provides 4 dedicated GPUs (nvidia-k2) |
g3.4xlarge |
Accelerated computing |
tinav3.c16r125p1 |
v3 |
16 |
125 |
1 |
8 |
30 |
Provides 1 dedicated GPU (nvidia-k2) |
g3.8xlarge |
Accelerated computing |
tinav3.c32r250p1 |
v3 |
32 |
250 |
1 |
8 |
30 |
Provides 2 dedicated GPUs (nvidia-k2) |
io5.12xlarge |
Big data usage* |
tinav4.c36r492p2 |
v4 |
36 |
492 |
2 |
8 |
30 |
|
io5.18xlarge |
Big data usage* |
tinav4.c54r737p2 |
v4 |
54 |
737 |
2 |
8 |
30 |
|
io5.2xlarge |
Big data usage* |
tinav4.c6r82p2 |
v4 |
6 |
82 |
2 |
4 |
15 |
|
io5.4xlarge |
Big data usage* |
tinav4.c12r164p2 |
v4 |
12 |
164 |
2 |
8 |
30 |
|
io5.6xlarge |
Big data usage* |
tinav4.c18r246p2 |
v4 |
18 |
246 |
2 |
8 |
30 |
|
io5.8xlarge |
Big data usage* |
tinav4.c24r328p2 |
v4 |
24 |
328 |
2 |
8 |
30 |
|
m3.2xlarge |
General purpose |
tinav3.c8r31p2 |
v3 |
8 |
31 |
2 |
4 |
30 |
|
m3.large |
General purpose |
tinav3.c2r8p2 |
v3 |
2 |
8 |
2 |
3 |
10 |
|
m3.medium |
General purpose |
tinav3.c1r4p2 |
v3 |
1 |
4 |
2 |
2 |
6 |
|
m3.xlarge |
General purpose |
tinav3.c4r15p2 |
v3 |
4 |
15 |
2 |
4 |
15 |
|
m4.10xlarge |
General purpose |
tinav4.c40r164p2 |
v4 |
40 |
164 |
2 |
8 |
30 |
|
m4.2xlarge |
General purpose |
tinav4.c8r33p2 |
v4 |
8 |
33 |
2 |
4 |
15 |
|
m4.4xlarge |
General purpose |
tinav4.c16r66p2 |
v4 |
16 |
66 |
2 |
8 |
30 |
|
m4.large |
General purpose |
tinav4.c2r8p2 |
v4 |
2 |
8 |
2 |
3 |
10 |
|
m4.xlarge |
General purpose |
tinav4.c4r16p2 |
v4 |
4 |
16 |
2 |
4 |
15 |
|
m5.12xlarge |
General purpose |
tinav5.c48r197p2 |
v5 |
48 |
197 |
2 |
8 |
30 |
|
m5.24xlarge |
General purpose |
tinav5.c96r384p2 |
v5 |
96 |
384 |
2 |
8 |
30 |
|
m5.2xlarge |
General purpose |
tinav5.c8r33p2 |
v5 |
8 |
33 |
2 |
4 |
15 |
|
m5.4xlarge |
General purpose |
tinav5.c16r66p2 |
v5 |
16 |
66 |
2 |
8 |
30 |
|
m5.large |
General purpose |
tinav5.c2r8p2 |
v5 |
2 |
8 |
2 |
3 |
10 |
|
m5.xlarge |
General purpose |
tinav5.c4r16p2 |
v5 |
4 |
16 |
2 |
4 |
15 |
|
mv3.2xlarge |
General purpose* |
tinav4.c8r31p2 |
v4 |
8 |
31 |
2 |
4 |
30 |
Provides 1 dedicated GPU (nvidia-k2) |
mv3.large |
General purpose* |
tinav4.c2r8p2 |
v4 |
2 |
8 |
2 |
3 |
10 |
Provides 1 dedicated GPU (nvidia-k2) |
mv3.xlarge |
General purpose* |
tinav4.c4r15p2 |
v4 |
4 |
15 |
2 |
4 |
15 |
Provides 1 dedicated GPU (nvidia-k2) |
oc5.12xlarge |
Compute optimized* |
tinav4.c36r492p1 |
v4 |
36 |
492 |
1 |
8 |
30 |
|
oc5.18xlarge |
Compute optimized* |
tinav4.c54r737p1 |
v4 |
54 |
737 |
1 |
8 |
30 |
|
oc5.2xlarge |
Compute optimized* |
tinav4.c6r82p1 |
v4 |
6 |
82 |
1 |
4 |
15 |
|
oc5.4xlarge |
Compute optimized* |
tinav4.c12r164p1 |
v4 |
12 |
164 |
1 |
4 |
15 |
|
oc5.6xlarge |
Compute optimized* |
tinav4.c18r246p1 |
v4 |
18 |
246 |
1 |
8 |
30 |
|
oc5.8xlarge |
Compute optimized* |
tinav4.c24r328p1 |
v4 |
24 |
328 |
1 |
8 |
30 |
|
og4.2xlarge |
Remote visualization* |
tinav4.c16r123p1 |
v4 |
16 |
123 |
1 |
4 |
15 |
Provides 2 dedicated GPUs (nvidia-k2) |
og4.4xlarge |
Remote visualization* |
tinav4.c24r184p1 |
v4 |
24 |
184 |
1 |
8 |
30 |
Provides 3 dedicated GPUs (nvidia-k2) |
og4.8xlarge |
Remote visualization* |
tinav4.c32r246p1 |
v4 |
32 |
246 |
1 |
8 |
30 |
Provides 4 dedicated GPUs (nvidia-k2) |
og4.xlarge |
Remote visualization* |
tinav4.c8r61p1 |
v4 |
8 |
61 |
1 |
4 |
15 |
Provides 1 dedicated GPU (nvidia-k2) |
om5.12xlarge |
Memory optimized* |
tinav4.c36r983p2 |
v4 |
36 |
983 |
2 |
8 |
30 |
|
om5.18xlarge |
Memory optimized* |
tinav4.c54r1475p2 |
v4 |
54 |
1475 |
2 |
8 |
30 |
|
om5.2xlarge |
Memory optimized* |
tinav4.c6r164p2 |
v4 |
6 |
164 |
2 |
4 |
15 |
|
om5.4xlarge |
Memory optimized* |
tinav4.c12r328p2 |
v4 |
12 |
328 |
2 |
4 |
15 |
|
om5.6xlarge |
Memory optimized* |
tinav4.c18r492p2 |
v4 |
18 |
492 |
2 |
8 |
30 |
|
om5.8xlarge |
Memory optimized* |
tinav4.c24r655p2 |
v4 |
24 |
655 |
2 |
8 |
30 |
|
p100.2xlarge |
GPU-based* |
tinav5.c8r61p1 |
v5 |
8 |
61 |
1 |
4 |
15 |
Provides 1 dedicated GPU (nvidia-p100) |
p100.4xlarge |
GPU-based* |
tinav5.c16r122p1 |
v5 |
16 |
122 |
1 |
4 |
15 |
Provides 1 dedicated GPU (nvidia-p100) |
p100.8xlarge |
GPU-based* |
tinav5.c32r244p1 |
v5 |
32 |
244 |
1 |
4 |
15 |
Provides 2 dedicated GPUs (nvidia-p100) |
p3.2xlarge |
GPU-based* |
tinav5.c8r61p1 |
v5 |
8 |
61 |
1 |
4 |
15 |
Provides 1 dedicated GPU (nvidia-p100) |
p6.8xlarge |
GPU-based* |
tinav5.c32r244p1 |
v5 |
32 |
244 |
1 |
4 |
15 |
Provides 1 dedicated GPU (nvidia-p6) |
r3.2xlarge |
Memory optimized |
tinav3.c8r62p2 |
v3 |
8 |
62 |
2 |
4 |
15 |
|
r3.4xlarge |
Memory optimized |
tinav3.c16r125p2 |
v3 |
16 |
125 |
2 |
8 |
30 |
|
r3.8xlarge |
Memory optimized |
tinav3.c32r250p2 |
v3 |
32 |
250 |
2 |
8 |
30 |
|
r3.large |
Memory optimized |
tinav3.c2r15p2 |
v3 |
2 |
15 |
2 |
3 |
10 |
|
r3.xlarge |
Memory optimized |
tinav3.c4r31p2 |
v3 |
4 |
31 |
2 |
4 |
15 |
|
r4.16xlarge |
Memory optimized |
tinav4.c64r500p2 |
v4 |
64 |
500 |
2 |
8 |
30 |
|
r4.2xlarge |
Memory optimized |
tinav4.c8r62p2 |
v4 |
8 |
62 |
2 |
4 |
15 |
|
r4.4xlarge |
Memory optimized |
tinav4.c16r125p2 |
v4 |
16 |
125 |
2 |
8 |
30 |
|
r4.8xlarge |
Memory optimized |
tinav4.c32r250p2 |
v4 |
32 |
250 |
2 |
8 |
30 |
|
r4.large |
Memory optimized |
tinav4.c2r16p2 |
v4 |
2 |
16 |
2 |
3 |
10 |
|
r4.xlarge |
Memory optimized |
tinav4.c4r31p2 |
v4 |
4 |
31 |
2 |
4 |
15 |
|
t1.micro |
Micro |
tinav1.c1r1p3 |
v1 |
1 |
1 |
3 |
2 |
2 |
|
t2.large |
General purpose |
tinav2.c2r8p3 |
v2 |
2 |
8 |
3 |
3 |
6 |
|
t2.medium |
General purpose |
tinav2.c2r4p3 |
v2 |
2 |
4 |
3 |
3 |
6 |
|
t2.micro |
General purpose |
tinav2.c1r1p3 |
v2 |
1 |
1 |
3 |
2 |
2 |
|
t2.nano |
General purpose |
tinav2.c1r1p3 |
v2 |
1 |
1 |
3 |
2 |
2 |
|
t2.small |
General purpose |
tinav2.c1r2p3 |
v2 |
1 |
2 |
3 |
2 |
4 |
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