Instance types - Amazon Elastic Compute Cloud
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China.

Instance types

When you launch an instance, the instance type that you specify determines the hardware of the host computer used for your instance. Each instance type offers different compute, memory, and storage capabilities, and is grouped in an instance family based on these capabilities. Select an instance type based on the requirements of the application or software that you plan to run on your instance.

Amazon EC2 dedicates some resources of the host computer, such as CPU, memory, and instance storage, to a particular instance. Amazon EC2 shares other resources of the host computer, such as the network and the disk subsystem, among instances. If each instance on a host computer tries to use as much of one of these shared resources as possible, each receives an equal share of that resource. However, when a resource is underused, an instance can consume a higher share of that resource while it's available.

Each instance type provides higher or lower minimum performance from a shared resource. For example, instance types with high I/O performance have a larger allocation of shared resources. Allocating a larger share of shared resources also reduces the variance of I/O performance. For most applications, moderate I/O performance is more than enough. However, for applications that require greater or more consistent I/O performance, consider an instance type with higher I/O performance.

Instance type names

Amazon EC2 provides a variety of instance types so you can choose the type that best meets your requirements. Instance types are named based on their family, generation, additional capabilities, and size. The first position of the instance type name indicates the instance family, for example c. The second position indicates the instance generation, for example 5. The remaining letters before the period indicate additional capabilities, such as local NVMe storage or full control over c-states. After the period (.) is the instance size, which is either a number followed by a size, such as 9xlarge, or for metal instances the word metal.

            The image shows the instance type c5n.xlarge, with a label for each part of the instance name.

Available instance types

Amazon EC2 provides a wide selection of instance types optimized for different use cases. To determine which instance types meet your requirements, such as supported Regions, compute resources, or storage resources, see Find an Amazon EC2 instance type.

Current generation instances

For the best performance, we recommend that you use the following instance types when you launch new instances. For more information, see Amazon EC2 Instance Types.

Type Sizes Use case
C4 c4.large | c4.xlarge | c4.2xlarge | c4.4xlarge | c4.8xlarge Compute optimized
C5 c5.large | c5.xlarge | c5.2xlarge | c5.4xlarge | c5.9xlarge | c5.12xlarge | c5.18xlarge | c5.24xlarge | c5.metal Compute optimized
C5a c5a.large | c5a.xlarge | c5a.2xlarge | c5a.4xlarge | c5a.8xlarge | c5a.12xlarge | c5a.16xlarge | c5a.24xlarge Compute optimized
C5ad c5ad.large | c5ad.xlarge | c5ad.2xlarge | c5ad.4xlarge | c5ad.8xlarge | c5ad.12xlarge | c5ad.16xlarge | c5ad.24xlarge Compute optimized
C5d c5d.large | c5d.xlarge | c5d.2xlarge | c5d.4xlarge | c5d.9xlarge | c5d.12xlarge | c5d.18xlarge | c5d.24xlarge | c5d.metal Compute optimized
C5n c5n.large | c5n.xlarge | c5n.2xlarge | c5n.4xlarge | c5n.9xlarge | c5n.18xlarge | c5n.metal Compute optimized
C6a c6a.large | c6a.xlarge | c6a.2xlarge | c6a.4xlarge | c6a.8xlarge | c6a.12xlarge | c6a.16xlarge | c6a.24xlarge | c6a.32xlarge | c6a.48xlarge | c6a.metal Compute optimized
C6i c6i.large | c6i.xlarge | c6i.2xlarge | c6i.4xlarge | c6i.8xlarge | c6i.12xlarge | c6i.16xlarge | c6i.24xlarge | c6i.32xlarge | c6i.metal Compute optimized
C6id c6id.large | c6id.xlarge | c6id.2xlarge | c6id.4xlarge | c6id.8xlarge | c6id.12xlarge | c6id.16xlarge | c6id.24xlarge | c6id.32xlarge | c6id.metal Compute optimized
C6in c6in.large | c6in.xlarge | c6in.2xlarge | c6in.4xlarge | c6in.8xlarge | c6in.12xlarge | c6in.16xlarge | c6in.24xlarge | c6in.32xlarge Compute optimized
D2 d2.xlarge | d2.2xlarge | d2.4xlarge | d2.8xlarge Storage optimized
D3 d3.xlarge | d3.2xlarge | d3.4xlarge | d3.8xlarge Storage optimized
D3en d3en.large | d3en.xlarge | d3en.2xlarge | d3en.4xlarge | d3en.6xlarge | d3en.8xlarge | d3en.12xlarge Storage optimized
F1 f1.2xlarge | f1.4xlarge | f1.16xlarge Accelerated computing
G3 g3s.xlarge | g3.4xlarge | g3.8xlarge | g3.16xlarge Accelerated computing
G4ad g4ad.xlarge | g4ad.2xlarge | g4ad.4xlarge | g4ad.8xlarge | g4ad.16xlarge Accelerated computing
G4dn g4dn.xlarge | g4dn.2xlarge | g4dn.4xlarge | g4dn.8xlarge | g4dn.12xlarge | g4dn.16xlarge | g4dn.metal Accelerated computing
G5 g5.xlarge | g5.2xlarge | g5.4xlarge | g5.8xlarge | g5.12xlarge | g5.16xlarge | g5.24xlarge | g5.48xlarge Accelerated computing
H1 h1.2xlarge | h1.4xlarge | h1.8xlarge | h1.16xlarge Storage optimized
I3 i3.large | i3.xlarge | i3.2xlarge | i3.4xlarge | i3.8xlarge | i3.16xlarge | i3.metal Storage optimized
I3en i3en.large | i3en.xlarge | i3en.2xlarge | i3en.3xlarge | i3en.6xlarge | i3en.12xlarge | i3en.24xlarge | i3en.metal Storage optimized
I4i i4i.large | i4i.xlarge | i4i.2xlarge | i4i.4xlarge | i4i.8xlarge | i4i.16xlarge | i4i.32xlarge | i4i.metal Storage optimized
M4 m4.large | m4.xlarge | m4.2xlarge | m4.4xlarge | m4.10xlarge | m4.16xlarge General purpose
M5 m5.large | m5.xlarge | m5.2xlarge | m5.4xlarge | m5.8xlarge | m5.12xlarge | m5.16xlarge | m5.24xlarge | m5.metal General purpose
M5a m5a.large | m5a.xlarge | m5a.2xlarge | m5a.4xlarge | m5a.8xlarge | m5a.12xlarge | m5a.16xlarge | m5a.24xlarge General purpose
M5ad m5ad.large | m5ad.xlarge | m5ad.2xlarge | m5ad.4xlarge | m5ad.8xlarge | m5ad.12xlarge | m5ad.16xlarge | m5ad.24xlarge General purpose
M5d m5d.large | m5d.xlarge | m5d.2xlarge | m5d.4xlarge | m5d.8xlarge | m5d.12xlarge | m5d.16xlarge | m5d.24xlarge | m5d.metal General purpose
M5dn m5dn.large | m5dn.xlarge | m5dn.2xlarge | m5dn.4xlarge | m5dn.8xlarge | m5dn.12xlarge | m5dn.16xlarge | m5dn.24xlarge | m5dn.metal General purpose
M5n m5n.large | m5n.xlarge | m5n.2xlarge | m5n.4xlarge | m5n.8xlarge | m5n.12xlarge | m5n.16xlarge | m5n.24xlarge | m5n.metal General purpose
M5zn m5zn.large | m5zn.xlarge | m5zn.2xlarge | m5zn.3xlarge | m5zn.6xlarge | m5zn.12xlarge | m5zn.metal General purpose
M6a m6a.large | m6a.xlarge | m6a.2xlarge | m6a.4xlarge | m6a.8xlarge | m6a.12xlarge | m6a.16xlarge | m6a.24xlarge | m6a.32xlarge | m6a.48xlarge | m6a.metal General purpose
M6i m6i.large | m6i.xlarge | m6i.2xlarge | m6i.4xlarge | m6i.8xlarge | m6i.12xlarge | m6i.16xlarge | m6i.24xlarge | m6i.32xlarge | m6i.metal General purpose
M6id m6id.large | m6id.xlarge | m6id.2xlarge | m6id.4xlarge | m6id.8xlarge | m6id.12xlarge | m6id.16xlarge | m6id.24xlarge | m6id.32xlarge | m6id.metal General purpose
M6in m6in.large | m6in.xlarge | m6in.2xlarge | m6in.4xlarge | m6in.8xlarge | m6in.12xlarge | m6in.16xlarge | m6in.24xlarge | m6in.32xlarge General purpose
M6idn m6idn.large | m6idn.xlarge | m6idn.2xlarge | m6idn.4xlarge | m6idn.8xlarge | m6idn.12xlarge | m6idn.16xlarge | m6idn.24xlarge | m6idn.32xlarge General purpose
P2 p2.xlarge | p2.8xlarge | p2.16xlarge Accelerated computing
P3 p3.2xlarge | p3.8xlarge | p3.16xlarge Accelerated computing
P3dn p3dn.24xlarge Accelerated computing
Hpc6id hpc6id.32xlarge Memory optimized
R4 r4.large | r4.xlarge | r4.2xlarge | r4.4xlarge | r4.8xlarge | r4.16xlarge Memory optimized
R5 r5.large | r5.xlarge | r5.2xlarge | r5.4xlarge | r5.8xlarge | r5.12xlarge | r5.16xlarge | r5.24xlarge | r5.metal Memory optimized
R5a r5a.large | r5a.xlarge | r5a.2xlarge | r5a.4xlarge | r5a.8xlarge | r5a.12xlarge | r5a.16xlarge | r5a.24xlarge Memory optimized
R5ad r5ad.large | r5ad.xlarge | r5ad.2xlarge | r5ad.4xlarge | r5ad.8xlarge | r5ad.12xlarge | r5ad.16xlarge | r5ad.24xlarge Memory optimized
R5b r5b.large | r5b.xlarge | r5b.2xlarge | r5b.4xlarge | r5b.8xlarge | r5b.12xlarge | r5b.16xlarge | r5b.24xlarge | r5b.metal Memory optimized
R5d r5d.large | r5d.xlarge | r5d.2xlarge | r5d.4xlarge | r5d.8xlarge | r5d.12xlarge | r5d.16xlarge | r5d.24xlarge | r5d.metal Memory optimized
R5dn r5dn.large | r5dn.xlarge | r5dn.2xlarge | r5dn.4xlarge | r5dn.8xlarge | r5dn.12xlarge | r5dn.16xlarge | r5dn.24xlarge | r5dn.metal Memory optimized
R5n r5n.large | r5n.xlarge | r5n.2xlarge | r5n.4xlarge | r5n.8xlarge | r5n.12xlarge | r5n.16xlarge | r5n.24xlarge | r5n.metal Memory optimized
R6a r6a.large | r6a.xlarge | r6a.2xlarge | r6a.4xlarge | r6a.8xlarge | r6a.12xlarge | r6a.16xlarge | r6a.24xlarge | r6a.32xlarge | r6a.48xlarge | r6a.metal Memory optimized
R6i r6i.large | r6i.xlarge | r6i.2xlarge | r6i.4xlarge | r6i.8xlarge | r6i.12xlarge | r6i.16xlarge | r6i.24xlarge | r6i.32xlarge | r6i.metal Memory optimized
R6id r6id.large | r6id.xlarge | r6id.2xlarge | r6id.4xlarge | r6id.8xlarge | r6id.12xlarge | r6id.16xlarge | r6id.24xlarge | r6id.32xlarge | r6id.metal Memory optimized
R6in r6in.large | r6in.xlarge | r6in.2xlarge | r6in.4xlarge | r6in.8xlarge | r6in.12xlarge | r6in.16xlarge | r6in.24xlarge | r6in.32xlarge Memory optimized
R6idn r6idn.large | r6idn.xlarge | r6idn.2xlarge | r6idn.4xlarge | r6idn.8xlarge | r6idn.12xlarge | r6idn.16xlarge | r6idn.24xlarge | r6idn.32xlarge Memory optimized
T2 t2.nano | t2.micro | t2.small | t2.medium | t2.large | t2.xlarge | t2.2xlarge General purpose
T3 t3.nano | t3.micro | t3.small | t3.medium | t3.large | t3.xlarge | t3.2xlarge General purpose
T3a t3a.nano | t3a.micro | t3a.small | t3a.medium | t3a.large | t3a.xlarge | t3a.2xlarge General purpose
Trn1 trn1.2xlarge | trn1.32xlarge Accelerated computing
High memory (u-*) u-3tb1.56xlarge | u-6tb1.56xlarge | u-6tb1.112xlarge | u-6tb1.metal | u-9tb1.112xlarge | u-9tb1.metal | u-12tb1.112xlarge | u-12tb1.metal | u-18tb1.metal | u-24tb1.metal Memory optimized
X1 x1.16xlarge | x1.32xlarge Memory optimized
X1e x1e.xlarge | x1e.2xlarge | x1e.4xlarge | x1e.8xlarge | x1e.16xlarge | x1e.32xlarge Memory optimized
X2idn x2idn.16xlarge | x2idn.24xlarge | x2idn.32xlarge | x2idn.metal Memory optimized
X2iedn x2iedn.xlarge | x2iedn.2xlarge | x2iedn.4xlarge | x2iedn.8xlarge | x2iedn.16xlarge | x2iedn.24xlarge | x2iedn.32xlarge | x2iedn.metal Memory optimized
X2iezn x2iezn.2xlarge | x2iezn.4xlarge | x2iezn.6xlarge | x2iezn.8xlarge | x2iezn.12xlarge | x2iezn.metal Memory optimized
z1d z1d.large | z1d.xlarge | z1d.2xlarge | z1d.3xlarge | z1d.6xlarge | z1d.12xlarge | z1d.metal Memory optimized

Previous generation instances

Amazon Web Services offers previous generation instance types for users who have optimized their applications around them and have yet to upgrade. We encourage you to use current generation instance types to get the best performance, but we continue to support the following previous generation instance types. For more information about which current generation instance type would be a suitable upgrade, see Previous Generation Instances.

Type Sizes
C1 c1.medium | c1.xlarge
C3 c3.large | c3.xlarge | c3.2xlarge | c3.4xlarge | c3.8xlarge
G2 g2.2xlarge | g2.8xlarge
I2 i2.xlarge | i2.2xlarge | i2.4xlarge | i2.8xlarge
M1 m1.small | m1.medium | m1.large | m1.xlarge
M2 m2.xlarge | m2.2xlarge | m2.4xlarge
M3 m3.medium | m3.large | m3.xlarge | m3.2xlarge
R3 r3.large | r3.xlarge | r3.2xlarge | r3.4xlarge | r3.8xlarge
T1 t1.micro

Hardware specifications

For more information, see Amazon EC2 Instance Types.

To determine which instance type best meets your needs, we recommend that you launch an instance and use your own benchmark application. Because you pay by the instance second, it's convenient and inexpensive to test multiple instance types before making a decision. If your needs change, even after you make a decision, you can change the instance type later. For more information, see Change the instance type.

Naming conventions

Instance type names combine the instance family, generation, and size.

They can also indicate additional capabilities, such as:

  • a – AMD processors

  • g – Amazon Graviton processors

  • i – Intel processors

  • d – Instance store volumes

  • n – Network optimization

  • b – Block storage optimization

  • e – Extra storage or memory

  • z – High frequency

Processor features

Intel processor features

Amazon EC2 instances that run on Intel processors may include the following features. Not all of the following processor features are supported by all instance types. For detailed information about which features are available for each instance type, see Amazon EC2 Instance Types.

  • Intel AES New Instructions (AES-NI) — Intel AES-NI encryption instruction set improves upon the original Advanced Encryption Standard (AES) algorithm to provide faster data protection and greater security. All current generation EC2 instances support this processor feature.

  • Intel Advanced Vector Extensions (Intel AVX, Intel AVX2, and Intel AVX-512) — Intel AVX and Intel AVX2 are 256-bit, and Intel AVX-512 is a 512-bit instruction set extension designed for applications that are Floating Point (FP) intensive. Intel AVX instructions improve performance for applications like image and audio/video processing, scientific simulations, financial analytics, and 3D modeling and analysis. These features are only available on instances launched with HVM AMIs.

  • Intel Turbo Boost Technology — Intel Turbo Boost Technology processors automatically run cores faster than the base operating frequency.

  • Intel Deep Learning Boost (Intel DL Boost) — Accelerates AI deep learning use cases. The 2nd Gen Intel Xeon Scalable processors extend Intel AVX-512 with a new Vector Neural Network Instruction (VNNI/INT8) that significantly increases deep learning inference performance over previous generation Intel Xeon Scalable processors (with FP32) for image recognition/segmentation, object detection, speech recognition, language translation, recommendation systems, reinforcement learning, and more. VNNI may not be compatible with all Linux distributions.

    The following instances support VNNI: M5n, R5n, M5dn, M5zn, R5b, R5dn, D3, D3en, and C6i. C5 and C5d instances support VNNI for only 12xlarge, 24xlarge, and metal instances.

Confusion may result from industry naming conventions for 64-bit CPUs. Chip manufacturer Advanced Micro Devices (AMD) introduced the first commercially successful 64-bit architecture based on the Intel x86 instruction set. Consequently, the architecture is widely referred to as AMD64 regardless of the chip manufacturer. Windows and several Linux distributions follow this practice. This explains why the internal system information on an instance running Ubuntu or Windows displays the CPU architecture as AMD64 even though the instances are running on Intel hardware.

Instances built on the Nitro System

The Nitro System is a collection of hardware and software components built by Amazon that enable high performance, high availability, and high security. For more information, see Amazon Nitro System.

The Nitro System provides bare metal capabilities that eliminate virtualization overhead and support workloads that require full access to host hardware. Bare metal instances are well suited for the following:

  • Workloads that require access to low-level hardware features (for example, Intel VT) that are not available or fully supported in virtualized environments

  • Applications that require a non-virtualized environment for licensing or support

Nitro components

The following components are part of the Nitro System:

  • Nitro card

    • Local NVMe storage volumes

    • Networking hardware support

    • Management

    • Monitoring

    • Security

  • Nitro security chip, integrated into the motherboard

  • Nitro hypervisor - A lightweight hypervisor that manages memory and CPU allocation and delivers performance that is indistinguishable from bare metal for most workloads.

Available instance types

The following virtualized instances are built on the Nitro System:

  • General purpose: M5, M5a, M5ad, M5d, M5dn, M5n, M5zn, M6a, M6i, M6id, T3, T3a, M6idn and M6in

  • Compute optimized: C5, C5a, C5ad, C5d, C5n, C6a, C6i, C6id

  • Memory optimized: Hpc6id, R5, R5a, R5ad, R5b, R5d, R5dn, R5n, R6a, R6i, R6id, u-3tb1.56xlarge, u-6tb1.56xlarge, u-6tb1.112xlarge, u-9tb1.112xlarge, u-12tb1.112xlarge, X2idn, X2iedn, X2iezn, z1d

  • Storage optimized: D3, D3en, I3en, I4i

  • Accelerated computing: G4, G4ad, G5, p3dn.24xlarge

The following bare metal instances are built on the Nitro System:

  • General purpose: m5.metal, m5d.metal, m5dn.metal, m5n.metal, m5zn.metal, m6a.metal, m6i.metal, m6id.metal

  • Compute optimized: c5.metal, c5d.metal, c5n.metal, c6a.metal, c6i.metal, c6id.metal

  • Memory optimized: r5.metal, r5b.metal, r5d.metal, r5dn.metal, r5n.metal, r6a.metal, r6i.metal, r6id.metal, u-6tb1.metal, u-9tb1.metal, u-12tb1.metal, u-18tb1.metal, u-24tb1.metal, x2idn.metal, x2iedn.metal, x2iezn.metal, z1d.metal

  • Storage optimized: i3.metal, i3en.metal, i4i.metal

  • Accelerated computing: g4dn.metal

Networking and storage features

When you select an instance type, this determines the networking and storage features that are available. To describe an instance type, use the describe-instance-types command.

Networking features

  • IPv6 is supported on all current generation instance types and the C3, R3, and I2 previous generation instance types.

  • To maximize the networking and bandwidth performance of your instance type, you can do the following:

    • Launch supported instance types into a cluster placement group to optimize your instances for high performance computing (HPC) applications. Instances in a common cluster placement group can benefit from high-bandwidth, low-latency networking. For more information, see Placement groups.

    • Enable enhanced networking for supported current generation instance types to get significantly higher packet per second (PPS) performance, lower network jitter, and lower latencies. For more information, see Enhanced networking on Windows.

  • Current generation instance types that are enabled for enhanced networking have the following networking performance attributes:

    • Traffic within the same Region over private IPv4 or IPv6 can support 5 Gbps for single-flow traffic and up to 25 Gbps for multi-flow traffic (depending on the instance type).

    • Traffic to and from Amazon S3 buckets within the same Region over the public IP address space or through a VPC endpoint can use all available instance aggregate bandwidth.

  • The maximum transmission unit (MTU) supported varies across instance types. All Amazon EC2 instance types support standard Ethernet V2 1500 MTU frames. All current generation instances support 9001 MTU, or jumbo frames, and some previous generation instances support them as well. For more information, see Network maximum transmission unit (MTU) for your EC2 instance.

Storage features

  • Some instance types support EBS volumes and instance store volumes, while other instance types support only EBS volumes. Some instance types that support instance store volumes use solid state drives (SSD) to deliver very high random I/O performance. Some instance types support NVMe instance store volumes. Some instance types support NVMe EBS volumes. For more information, see Amazon EBS and NVMe on Windows instances and NVMe SSD volumes.

  • To obtain additional, dedicated capacity for Amazon EBS I/O, you can launch some instance types as EBS–optimized instances. Some instance types are EBS–optimized by default. For more information, see Amazon EBS–optimized instances.

Summary of networking and storage features

The following table summarizes the networking and storage features supported by current generation instance types.

Instance type EBS only NVMe EBS Instance store Placement group Enhanced networking
C4 Yes No No Yes Intel 82599 VF
C5 Yes Yes No Yes ENA
C5a Yes Yes No Yes ENA
C5ad No Yes NVMe * Yes ENA
C5d No Yes NVMe * Yes ENA
C5n Yes Yes No Yes ENA
C6a Yes Yes No Yes ENA
C6i Yes Yes No Yes ENA
C6id No Yes NVMe * Yes ENA
C6in Yes Yes No Yes ENA
D2 No No HDD Yes Intel 82599 VF
D3 No Yes NVMe * Yes ENA
D3en No Yes NVMe * Yes ENA
F1 No No NVMe * Yes ENA
G3 Yes No No Yes ENA
G4ad No Yes NVMe * Yes ENA
G4dn No Yes NVMe * Yes ENA
G5 No Yes NVMe * Yes ENA
H1 No No HDD * Yes ENA
I3 No No NVMe * Yes ENA
I3en No Yes NVMe * Yes ENA
I4i No Yes NVMe * Yes ENA
Hpc6id No Yes NVMe * Yes ENA
M4 Yes No No Yes m4.16xlarge: ENA

All other sizes: Intel 82599 VF

M5 Yes Yes No Yes ENA
M5a Yes Yes No Yes ENA
M5ad No Yes NVMe * Yes ENA
M5d No Yes NVMe * Yes ENA
M5dn No Yes NVMe * Yes ENA
M5n Yes Yes No Yes ENA
M5zn Yes Yes No Yes ENA
M6a Yes Yes No Yes ENA
M6i Yes Yes No Yes ENA
M6in Yes Yes No Yes ENA
M6id No Yes NVMe * Yes ENA
M6idn No Yes NVMe * Yes ENA
P2 Yes No No Yes ENA
P3 Yes No No Yes ENA
P3dn No Yes NVMe * Yes ENA
R4 Yes No No Yes ENA
R5 Yes Yes No Yes ENA
R5a Yes Yes No Yes ENA
R5ad No Yes NVMe * Yes ENA
R5b Yes Yes No Yes ENA
R5d No Yes NVMe * Yes ENA
R5dn No Yes NVMe * Yes ENA
R5n Yes Yes No Yes ENA
R6a Yes Yes No Yes ENA
R6i Yes Yes No Yes ENA
R6id No Yes NVMe * Yes ENA
R6in Yes Yes No Yes ENA
R6idn No Yes NVMe * Yes ENA
T2 Yes No No No No
T3 Yes Yes No No ENA
T3a Yes Yes No No ENA
Trn1 No Yes NVMe * Yes ENA
High memory (u-*) Yes Yes No Virtualized: Yes

Bare metal: No

X1 No No SSD * Yes ENA
X1e No No SSD * Yes ENA
X2idn No Yes NVMe * Yes ENA
X2iedn No Yes NVMe * Yes ENA
X2iezn Yes Yes No Yes ENA
z1d No Yes NVMe * Yes ENA

* The root device volume must be an Amazon EBS volume.

The following table summarizes the networking and storage features supported by previous generation instance types.

Instance store Placement group Enhanced networking
C3 SSD Yes Intel 82599 VF
G2 SSD Yes No
I2 SSD Yes Intel 82599 VF
M3 SSD No No
R3 SSD Yes Intel 82599 VF

Instance limits

There is a limit on the total number of instances that you can launch in a Region, and there are additional limits on some instance types.

For more information about the default limits, see How many instances can I run in Amazon EC2?

For more information about viewing your current limits or requesting an increase in your current limits, see Amazon EC2 service quotas.