Accelerator-optimized machine family

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The accelerator-optimized machine family is designed by Google Cloud to deliver the needed performance and efficiency for GPU accelerated workloads such as artificial intelligence (AI), machine learning (ML), and high performance computing (HPC).

The accelerator-optimized machine family is available in the following machine series: A3, A2 and G2. Each machine type within a series has a specific model and number of NVIDIA GPUs attached. You can also attach some GPU models to N1 general-purpose machine types.

Machine series recommendation by workload type

The following section provide the recommended machine series based on your GPU workloads.

Workload type	Recommended machine type or series
Pre-training models	A3 Ultra, A3 Mega, A3 High, A2 To identify the best fit, see Recommendations for pre-training models.
Fine-tuning models	A3 Mega, A3 High, A2 To identify the best fit, see Recommendations for fine-tuning models.
Serving inference	A3 Ultra, A3 Mega, A3 High, A2 To identify the best fit, see Recommendations for serving inference.
Graphics-intensive workloads	G2, N1+T4
High performance computing	For high performance computing workloads, any accelerator-optimized machine series works well. The best fit depends on the amount of computation that must be offloaded to the GPU. For more information, see Recommendations for HPC.

Pricing and discount

All accelerator-optimized machine types support the following discount and consumption options:

• Resource-based committed use discounts (CUDs)
• Spot VMs
• Reservations: reservations can be obtained by one of the following methods:
  • Directly through the reservation API
  • Request capacity by using Hypercompute Cluster. Hypercompute Cluster is available in Preview and supports A3 Ultra machine types only. This provisions blocks of densely allocated capacity that are ideal for running large-scale workloads.

The accelerator-optimized machine types are billed for their attached GPUs, predefined vCPU, memory, and bundled Local SSD (if applicable). For more pricing information for accelerator-optimized VMs, see Accelerator-optimized machine type family section on the VM instance pricing page.

The A3 machine series

The A3 machine series has up to 224 vCPUs, and 2,944 GB of memory. This machine series is optimized for compute and memory intensive, network bound ML training, and HPC workloads.

The A3 machine series also provides the following features:

Feature	A3 Ultra	A3 Mega, High, Edge
Attached GPUs	NVIDIA H200 SXM GPUs attached, which offers 141 GB GPU memory per GPU and provides larger and faster memory for supporting large language models and HPC workloads.	NVIDIA H100 SXM GPUs attached, which offers 80 GB GPU memory per GPU and is ideal for large transformer-based language models, databases, and HPC.
CPU platform	5th Generation Intel Xeon Scalable processor (Emerald Rapids) and offers up to 4.0 GHz sustained single-core max turbo frequency. For more information about this processor, see CPU platform.	4th Generation Intel Xeon Scalable processor (Sapphire Rapids) and offers up to 3.3 GHz sustained single-core max turbo frequency. For more information about this processor, see CPU platform.
Industry-leading NVLink scale	NVIDIA H200 GPUs provide peak GPU NVLink bandwidth of 900 GB/s, unidirectionally. With all-to-all NVLink topology between 8 GPUs in a system, the aggregate NVLink Bandwidth is up to 7.2 TB/s.	NVIDIA H100 GPUs provide peak GPU NVLink bandwidth of 450 GB/s, unidirectionally. With all-to-all NVLink topology between 8 GPUs in a system, the aggregate NVLink Bandwidth is up to 7.2 TB/s.
Network protocols	For this machine type, RDMA over Converged Ethernet (RoCE) increases the network performance by combining NVIDIA ConnectX-7 network interface cards (NICs) with our datacenter-wide four-way rail-aligned network. By leveraging RDMA over Converged Ethernet (RoCE), the a3-ultragpu-8g machine type achieves much higher throughput between VMs in a cluster when compared to other A3 accelerator-optimized machine types.	For the A3 Mega machine types, GPUDirect-TCPXO further improves on GPUDirect-TCPX by offloading TCP protocol. By leveraging GPUDirect-TCPXO, the a3-megagpu-8g machine type doubles the network bandwidth when compared to the A3 High and A3 Edge machine types. For the A3 Edge and A3 High machine types, GPUDirect-TCPX increases the network performance by allowing data packet payloads to transfer directly from GPU memory to the network interface. By leveraging GPUDirect-TCPX, these machine type achieve much higher throughput between VMs in a cluster when compared to the A2 or G2 accelerator-optimized machine types.
Improved computing speed and networking	Offers up to 4x networking speeds when compared to the previous generation A2 machine series. For more information about networking, see Network bandwidths and GPUs.	Offers up to 2.5X networking speeds when compared to the previous generation A2 machine series. For more information about networking, see Network bandwidths and GPUs.
Virtualization optimizations	The Peripheral Component Interconnect Express (PCIe) topology of A3 VMs provides more accurate locality information that workloads can use to optimize data transfers. The GPUs also expose Function Level Reset (FLR) for graceful recovery from failures and atomic operations support for concurrency improvements in certain scenarios.
Storage	Local SSD can be used for fast scratch disks or for feeding data into the GPUs while preventing I/O bottlenecks. Local SSD is attached as follows: 12,000 GiB of Local SSD is automatically added to A3 Ultra VMs. 6,000 GiB of Local SSD is automatically added to A3 Mega, High, and Edge VMs. You can also attach up to 512 TiB of Persistent Disk and Hyperdisk to machine types in these series for applications that require higher storage performance.
Compact placement policy support	Provides you with more control over the physical placement of your VMs within data centers. This enables lower-latency and higher bandwidth for VM placement within a single availability zone. For more information, see About compact placement policies.

The following machine types are available for the A3 machine series.

A3 Ultra machine type

Machine type	GPU count	GPU memory* (GB HBM3e)	vCPU count†	VM memory (GB)	Attached Local SSD (GiB)	Physical NIC count	Maximum network bandwidth (Gbps)‡	Network protocol
a3-ultragpu-8g	8	1128	224	2,952	12,000	10	3,200	RDMA over Converged Ethernet (RoCE)

A3 Ultra limitations

• You don't receive sustained use discounts and flexible committed use discounts for VMs that use an A3 Ultra machine type.
• You can only use an A3 Ultra machine type in certain regions and zones.
• You can't use Persistent Disks (regional or zonal) on a VM that use A3 Ultra machine type.
• The A3 Ultra machine type is only available on the Emerald Rapids CPU platform.
• If your VM uses an A3 Ultra machine type, you can't change the machine type. If you need to change the machine type, you must create a new VM.
• You can't change the machine type of a VM to an A3 Ultra machine type. If you need a VM that uses an A3 Ultra machine type, you must create a new VM.
• A3 Ultra machine types don't support sole-tenancy.
• You can't run Windows operating systems on an A3 Ultra machine type.
• You can only the reserve A3 Ultra machine type capacity by using Hypercompute Cluster.

A3 Mega machine type

Machine type	GPU count	GPU memory* (GB HBM3)	vCPU count†	VM memory (GB)	Attached Local SSD (GiB)	Physical NIC count	Maximum network bandwidth (Gbps)‡	Network protocol
a3-megagpu-8g	8	640	208	1,872	6,000	9	1,800	GPUDirect-TCPXO

A3 Mega limitations

• You don't receive sustained use discounts and flexible committed use discounts for VMs that use an A3 Mega machine type.
• You can only use an A3 Mega machine type in certain regions and zones.
• You can't use regional Persistent Disks on a VM that use A3 Mega machine type.
• The A3 Mega machine type is only available on the Sapphire Rapids CPU platform.
• If your VM uses an A3 Mega machine type, you can't change the machine type. If you need to change the machine type, you must create a new VM.
• You can't change the machine type of a VM to an A3 Mega machine type. If you need a VM that uses an A3 Mega machine type, you must create a new VM.
• A3 Mega machine types don't support sole-tenancy.
• You can't run Windows operating systems on an A3 Mega machine type.

A3 High machine type

Machine type	GPU count	GPU memory* (GB HBM3)	vCPU count†	VM memory (GB)	Attached Local SSD (GiB)	Physical NIC count	Maximum network bandwidth (Gbps)‡	Network protocol
a3-highgpu-1g	1	80	26	234	750	1	25	GPUDirect-TCPX
a3-highgpu-2g	2	160	52	468	1,500	1	50	GPUDirect-TCPX
a3-highgpu-4g	4	320	104	936	3,000	1	100	GPUDirect-TCPX
a3-highgpu-8g	8	640	208	1,872	6,000	5	1,000	GPUDirect-TCPX

A3 High limitations

• You don't receive sustained use discounts and flexible committed use discounts for VMs that use an A3 High machine type.
• You can only use an A3 High machine type in certain regions and zones.
• You can't use regional Persistent Disks on a VM that uses A3 High machine type.
• The A3 High machine type is only available on the Sapphire Rapids CPU platform.
• If your VM uses an A3 High machine type, you can't change the machine type. If you need to change the machine type, you must create a new VM.
• You can't change the machine type of a VM to an A3 High machine type. If you need a VM that uses an A3 High machine type, you must create a new VM.
• A3 High machine types don't support sole-tenancy.
• You can't run Windows operating systems on an A3 High machine type.
• For a3-highgpu-1g, a3-highgpu-2g, anda3-highgpu-4g machine types, the following limitations apply:
  • For these machine types, you must either use Spot VMs or a feature that uses the Dynamic Workload Scheduler (DWS) such as resize requests in a MIG. For detailed instructions on either of these options, review the following:
    • To create Spot VMs, see Create an accelerator-optimized VM and remember to set the provisiong model to SPOT
    • To create a resize request in a MIG, which uses Dynamic Workload Scheduler, see Create a MIG with GPU VMs.
  • You can't use Hyperdisk Balanced with these machine types.
  • You can't create reservations.
  If you try to create a VM by using standard provisioning or try to create a reservation for these machine types, you'll receive an error message.

A3 Edge machine type

Machine type	GPU count	GPU memory* (GB HBM3)	vCPU count†	VM memory (GB)	Attached Local SSD (GiB)	Physical NIC count	Maximum network bandwidth (Gbps)‡	Network protocol
a3-edgegpu-8g	8	640	208	1,872	6,000	5	800: for asia-south1 and northamerica-northeast2 400: for all other A3 Edge regions	GPUDirect-TCPX

A3 Edge limitations

• You don't receive sustained use discounts and flexible committed use discounts for VMs that use an A3 Edge machine type.
• You can only use an A3 Edge machine type in certain regions and zones.
• You can't use regional Persistent Disks on a VM that use A3 Edge machine type.
• The A3 Edge machine type is only available on the Sapphire Rapids CPU platform.
• If your VM uses an A3 Edge machine type, you can't change the machine type. If you need to change the machine type, you must create a new VM.
• You can't change the machine type of a VM to an A3 Edge machine type. If you need a VM that uses an A3 Edge machine type, you must create a new VM.
• A3 Edge machine types don't support sole-tenancy.
• You can't run Windows operating systems on an A3 Edge machine type.

Supported disk types for the A3 series

Disk and capacity limits

If supported by the machine type, you can use a mixture of Hyperdisk and Persistent Disk volumes on a VM, but the following restrictions apply:

• The combined number of both Hyperdisk and Persistent Disk volumes can't exceed 128 per VM.

• The maximum total disk capacity (in TiB) across all disk types can't exceed:

  • For machine types with less than 32 vCPUs:

    • 257 TiB for all Hyperdisk or all Persistent Disk
    • 257 TiB for a mixture of Hyperdisk and Persistent Disk

  • For machine types with 32 or more vCPUs:

    • 512 TiB for all Hyperdisk
    • 512 TiB for a mixture of Hyperdisk and Persistent Disk
    • 257 TiB for all Persistent Disk

For details about the capacity limits, see Hyperdisk capacity limits per VM and Persistent Disk maximum capacity.

The A2 machine series

The A2 machine series is available in A2 Standard and A2 Ultra machine types. These machine types have 12 to 96 vCPUs, and up to 1,360 GB of memory.

The A2 machine series also provides the following features:

• NVIDIA GPUs attached: each A2 machine type has NVIDIA A100 GPUs. These are available in both A100 40GB and A100 80GB options.

• Industry-leading NVLink scale that provides peak GPU to GPU NVLink bandwidth of 600 GBps. For example, systems with 16 GPUs have an aggregate NVLink bandwidth of up to 9.6 TBps. These 16 GPUs can be used as a single high performance accelerator with unified memory space to deliver up to 10 petaFLOPS of compute power and up to 20 petaFLOPS of inference compute power that can be used for artificial intelligence, deep learning, and machine learning workloads.

• Improved Computing speed: the attached NVIDIA A100 GPUs offer up to 10x improvements in computing speed when compared to previous generation NVIDIA V100 GPUs.

  With the A2 machine series, you can get up to 100 Gbps network bandwidth.

• Storage: for fast scratch disks or for feeding data into the GPUs while preventing I/O bottlenecks, the A2 machine types support Local SSD as follows:

  • For the A2 Standard machine types, you can add up to 3,000 GiB of Local SSD.
  • For the A2 Ultra machine types, Local SSD is automatically attached when you create the VM.

  You can also attach up to 257 TiB of Persistent Disk storage to A2 VMs for applications that require this higher storage performance.

• Compact placement policy support: provides you with more control over the physical placement of your VMs within data centers. This enables lower-latency and higher bandwidth for VM placement within a single availability zone. For more information, see Reduce latency by using compact placement policies.

Supported disk types for A2

A2 VMs can use the following block storage types:

• Hyperdisk ML (hyperdisk-ml)
• Balanced Persistent Disk (pd-balanced)
• SSD (performance) Persistent Disk (pd-ssd)
• Standard Persistent Disk (pd-standard)
• Local SSD: which is automatically attached to VMs created by using the A2 Ultra machine types.

If supported by the machine type, you can use a mixture of Hyperdisk and Persistent Disk volumes on a VM, but the following restrictions apply:

• The combined number of both Hyperdisk and Persistent Disk volumes can't exceed 128 per VM.

• The maximum total disk capacity (in TiB) across all disk types can't exceed:

  • For machine types with less than 32 vCPUs:

    • 257 TiB for all Hyperdisk or all Persistent Disk
    • 257 TiB for a mixture of Hyperdisk and Persistent Disk

  • For machine types with 32 or more vCPUs:

    • 512 TiB for all Hyperdisk
    • 512 TiB for a mixture of Hyperdisk and Persistent Disk
    • 257 TiB for all Persistent Disk

For details about the capacity limits, see Hyperdisk capacity limits per VM and Persistent Disk maximum capacity.

A2 Ultra machine types

These machine types have a fixed number of A100 80GB GPUs. Local SSD is automatically attached to VMs created by using the A2 Ultra machine types.

Machine type	GPU count	GPU memory* (GB HBM3)	vCPU count†	VM memory (GB)	Attached Local SSD (GiB)	Maximum network bandwidth (Gbps)‡
a2-ultragpu-1g	1	80	12	170	375	24
a2-ultragpu-2g	2	160	24	340	750	32
a2-ultragpu-4g	4	320	48	680	1,500	50
a2-ultragpu-8g	8	640	96	1,360	3,000	100

A2 Ultra limitations

• You don't receive sustained use discounts and flexible committed use discounts for VMs that use an A2 Ultra machine types.
• You can only use an A2 Ultra machine types in certain regions and zones.
• The A2 Ultra machine type is only available on the Cascade Lake platform.
• If your VM uses an A2 Ultra machine type, you can't change the machine type. If you need to use a different A2 Ultra machine type, or any other machine type, you must create a new VM.
• You can't change any other machine type to an A2 Ultra machine type. If you need a VM that uses an A2 Ultra machine type, you must create a new VM.
• You can't do a quick format of the attached Local SSDs on Windows VMs that use A2 Ultra machine types. To format these Local SSDs, you must do a full format by using the diskpart utility and specifying format fs=ntfs label=tmpfs.

A2 Standard machine types

These machine types have a fixed number of A100 40GB GPUs.

Machine type	GPU count	GPU memory* (GB HBM3)	vCPU count†	VM memory (GB)	Attached Local SSD (GiB)	Maximum network bandwidth (Gbps)‡
a2-highgpu-1g	1	40	12	85	Yes	24
a2-highgpu-2g	2	80	24	170	Yes	32
a2-highgpu-4g	4	160	48	340	Yes	50
a2-highgpu-8g	8	320	96	680	Yes	100
a2-megagpu-16g	16	640	96	1,360	Yes	100

A2 Standard limitations

• You don't receive sustained use discounts and flexible committed use discounts for VMs that use an A2 Standard machine types.
• You can only use an A2 Standard machine types in certain regions and zones.
• The A2 Standard machine type is only available on the Cascade Lake platform.
• If your VM uses an A2 Standard machine type, you can only switch from one A2 Standard machine type to another A2 Standard machine type. You can't change to any other machine type. For more information, see Modify accelerator-optmized VMs.
• You can't use the Windows operating system with A2 Standard machine types. When using Windows operating systems, choose a different A2 Standard machine type.
• You can't do a quick format of the attached Local SSDs on Windows VMs that use A2 Standard machine types. To format these Local SSDs, you must do a full format by using the diskpart utility and specifying format fs=ntfs label=tmpfs.
• A2 Standard machine types don't support sole-tenancy.

The G2 machine series

The G2 machine series is available in standard machine types that have 4 to 96 vCPUs, and up to 432 GB of memory. This machine series is optimized for inference and graphics workloads.

The G2 machine series also provides the following features:

• NVIDIA GPUs attached: each G2 machine type has NVIDIA L4 GPUs.

• Improved inference rates: the G2 machine types provide support for the FP8 (8-bit floating point) data type which speeds up ML inference rates and reduces memory requirements.

• Next generation graphics performance: NVIDIA L4 GPUs provide up to 3X improvement in graphics performance by using third-generation RT cores and NVIDIA DLSS 3 (Deep Learning Super Sampling) technology.

• High performance network bandwidth: with the G2 machine series, you can get up to 100 Gbps network bandwidth.

• Storage: you can add up to 3,000 GiB of Local SSD to G2 VMs. This can be used for fast scratch disks or for feeding data into the GPUs while preventing I/O bottlenecks.

  You can also attach Hyperdisk and Persistent Disk volumes to G2 VMs, for applications that require more persistent storage. The maximum storage capacity depends on the number of vCPUs the VM has. For details, see Supported disk types.

• Compact placement policy support: provides you with more control over the physical placement of your VMs within data centers. This enables lower-latency and higher bandwidth for VM placement within a single availability zone. For more information, see Reduce latency by using compact placement policies.

Supported disk types for G2

G2 VMs can use the following block storage types:

• Balanced Persistent Disk (pd-balanced)
• SSD (performance) Persistent Disk (pd-ssd)
• Hyperdisk ML (hyperdisk-ml)
• Hyperdisk Throughput (hyperdisk-throughput)
• Local SSD

If supported by the machine type, you can use a mixture of Hyperdisk and Persistent Disk volumes on a VM, but the following restrictions apply:

• The combined number of both Hyperdisk and Persistent Disk volumes can't exceed 128 per VM.

• The maximum total disk capacity (in TiB) across all disk types can't exceed:

  • For machine types with less than 32 vCPUs:

    • 257 TiB for all Hyperdisk or all Persistent Disk
    • 257 TiB for a mixture of Hyperdisk and Persistent Disk

  • For machine types with 32 or more vCPUs:

    • 512 TiB for all Hyperdisk
    • 512 TiB for a mixture of Hyperdisk and Persistent Disk
    • 257 TiB for all Persistent Disk

For details about the capacity limits, see Hyperdisk capacity limits per VM and Persistent Disk maximum capacity.

G2 machine types

Each G2 machine type has a fixed number of NVIDIA L4 GPUs and vCPUs attached. Each G2 machine type also has a default memory and a custom memory range. The custom memory range defines the amount of memory that you can allocate to your VM for each machine type. You can specify your custom memory during VM creation.

Machine type	GPU count	GPU memory* (GB GDDR6)	vCPU count†	Default VM memory (GB)	Custom VM memory range (GB)	Max Local SSD supported (GiB)	Maximum network bandwidth (Gbps)‡
g2-standard-4	1	24	4	16	16 to 32	375	10
g2-standard-8	1	24	8	32	32 to 54	375	16
g2-standard-12	1	24	12	48	48 to 54	375	16
g2-standard-16	1	24	16	64	54 to 64	375	32
g2-standard-24	2	48	24	96	96 to 108	750	32
g2-standard-32	1	24	32	128	96 to 128	375	32
g2-standard-48	4	96	48	192	192 to 216	1,500	50
g2-standard-96	8	192	96	384	384 to 432	3,000	100

G2 limitations

• You don't receive sustained use discounts and flexible committed use discounts for VMs that use an G2 machine types.
• You can only use an G2 machine types in certain regions and zones.
• The G2 machine type is only available on the Cascade Lake platform.
• Standard Persistent Disks (pd-standard) are not supported on VMs that use G2 standard machine types. For supported disk types, see Supported disk types for G2.
• You can't create Multi-Instance GPUs on G2 machine types.
• If you need to change the machine type of a G2 VM, review Modify accelerator-optmized VMs.
• You can't use Deep Learning VM Images as boot disks for your VMs that use G2 machine types.
• The current default driver for Container-Optimized OS doesn't support L4 GPUs running on G2 machine types. Container-Optimized OS also only support a select set of drivers. If you want to use Container-Optimized OS on G2 machine types, review the following notes:
  • Use a Container-Optimized OS version that supports the minimum recommended NVIDIA driver version 525.60.13 or later. For more information, review the Container-Optimized OS release notes.
  • When you install the driver, specify the latest available version that works for the L4 GPUs. For example, sudo cos-extensions install gpu -- -version=525.60.13.
• You must use the Google Cloud CLI or REST to create G2 VMs for the following scenarios:
  • You want to specify custom memory values.
  • You want to customize the number of visible CPU cores.

What's next

• Create a VM with attached GPUs
• GPU pricing
• VM instance pricing