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description= Discover more about the machine families, series, and types you can choose from when creating a compute instance with Google Cloud s resource guide.;
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nt and testing environments the c4a machine series is powered by google axion and built on the arm neoverse v2 compute core which supports arm v9 architecture c4a instances are powered by titanium with disk and network offloading which improves instance performance by reducing on host processing c4a instances provide up to 72 vcpus with up to 8 gb of memory per vcpu in a single uma domain c4a offers lssd machine types that come with up to 6 tib of titanium ssd capacity c4a bare metal instances have 96 vcpus and up to 768 gb of memory c4a instances don t use simultaneous multithreading smt a vcpu in a c4a instance is equivalent to an entire physical core the tau t2a machine series is the first machine series in google cloud built on arm neoverse n1 core compute tau t2a machines are optimized to deliver compelling price for performance each vm can have up to 48 vcpus with 4 gb of memory per vcpu the tau t2a machine series runs on a 64 core ampere altra processor with an arm instruction set and an all core frequency of 3 ghz tau t2a machine types support a single numa node and a vcpu is equivalent to an entire core storage optimized machine family guide the storage optimized machine family is best suited for high performance and flash optimized workloads such as sql nosql and vector databases scale out data analytics data warehouses and search and distributed file systems that need fast access to large amounts of data stored in local storage the storage optimized machine family is designed to provide high local storage throughput and iops at sub millisecond latency z3 standardlssd instances can have up to 176 vcpus 1 408 gb of memory and 36 tib of titanium ssd z3 highlssd instances can have up to 88 vcpus 704 gb of memory and 36 tib of titanium ssd z3 bare metal instances have 192 vcpus 1 536 gb of memory and 72 tib of local titanium ssd z3 runs on the intel xeon scalable processor code name sapphire rapids with ddr5 memory and titanium offload processors z3 brings together compute networking and storage innovations into one platform z3 instances are aligned with the underlying numa architecture to offer optimal reliable and consistent performance compute optimized machine family guide the compute optimized machine family is optimized for running high performance computing hpc multi node and compute bound applications by providing high performance per core h4d instances offer 192 vcpus and 720 gb of ddr5 memory h4d instances run on the amd epyc turin cpu platform with titanium offloading and cloud rdma support h4d instances are aligned with the underlying numa architecture to offer optimal reliable and consistent performance h4d delivers improved scalability for multi node workloads and hpc workloads cloud rdma is a networking infrastructure component that lets you build a true cloud hpc platform that can run scientific computations and ml ai workloads cloud rdma delivers price performance ratios comparable to on premise infrastructure h3 instances offer 88 vcpus and 352 gb of ddr5 memory h3 instances run on the intel sapphire rapids cpu platform and titanium offload processors h3 instances are aligned with the underlying numa architecture to offer optimal reliable and consistent performance h3 delivers performance improvements for a wide variety of hpc workloads such as molecular dynamics computational geoscience financial risk analysis weather modeling frontend and backend eda and computational fluid dynamics c2 instances offer up to 60 vcpus 4 gb of memory per vcpu and are available on the intel cascade lake cpu platform c2 instances are aligned with the underlying numa architecture to offer optimal reliable and consistent performance c2d instances offer up to 112 vcpus up to 8 gb of memory per vcpu and are available on the third generation amd epyc milan platform c2d instances are aligned with the underlying numa architecture to offer optimal reliable and consistent performance network optimized machine family guide the network optimized machine family is purpose built for i o intensive workloads that require high network bandwidth superior packet processing performance and exceptional block storage throughput and iops per vcpu c4n instances deliver the highest network and block storage performance available in compute engine c4n is an ideal fit for workloads such as network and security appliances high performance databases high scale data analytics and distributed file systems c4n instances are available in eight predefined machine shapes across highcpu standard and highmem configurations ranging from 2 to 192 vcpus and up to 1 488 gb of ddr5 memory powered by the intel emerald rapids cpu platform with a dual nic titanium offload architecture c4n instances are fully aligned with the underlying numa architecture to deliver predictable consistent performance c4n instances offer the following maximum performance capabilities networking up to 400 gbps of network bandwidth and 95 million packets per second mpps block storage leading block storage performance with hyperdisk extreme scaling up to 25 gib s of hyperdisk bandwidth and up to 1 000 000 iops on the largest machine types m4n instances offer up to 112 vcpus with up to 26 5 gb of memory per vcpu and are available on the intel emerald rapids cpu platform m4n instances are aligned with the underlying numa architecture to offer optimal reliable and consistent performance m4n instances deliver the highest block storage performance and network bandwidth m4n delivers a new standard in storage performance doubling the current hyperdisk extreme performance compared to the m4 series providing up to 12 5 gib s of aggregate performance and up to 500 000 iops on the largest machine types memory optimized machine family guide the memory optimized machine family has machine series that are ideal for olap and oltp sap workloads genomic modeling electronic design automation and memory intensive hpc workloads this family offers more memory per core than any other machine family with up to 32 tb of memory x4 bare metal instances offer up to 1 920 vcpus with either 12 8 or 17 gb of memory per vcpu x4 has machine types with 6 8 12 16 24 and 32 tb of memory and is available on the intel sapphire rapids cpu platform m4n instances offer up to 112 vcpus with up to 26 5 gb of memory per vcpu and are available on the intel emerald rapids cpu platform m4 instances offer up to 224 vcpus with up to 26 5 gb of memory per vcpu and are available on the intel emerald rapids cpu platform m3 instances offer up to 128 vcpus with up to 30 5 gb of memory per vcpu and are available on the intel ice lake cpu platform m2 instances are available as 6 tb 9 tb and 12 tb machine types and are available on the intel cascade lake cpu platform m1 instances offer up to 160 vcpus 14 9 gb to 24 gb of memory per vcpu and are available on the intel skylake and broadwell cpu platforms accelerator optimized machine family guide the accelerator optimized machine family is ideal for massively parallelized compute unified device architecture cuda compute workloads such as machine learning ml and high performance computing hpc this machine family is the optimal choice for workloads that require accelerators gpus or tpus this section provides information about gpu machines for information about machines that contain tpus see tpu machines google also offers ai hypercomputer for creating clusters of accelerator optimized vms with inter gpu communication which are designed for running very intensive ai and ml workloads for more information see ai hypercomputer overview arm a4x max bare metal instances offer up to 144 vcpus and up to 960 gb of memory each a4x max machine type has 4 nvidia b300 gpus attached to 2 nvidia grace cpus a4x max bare metal instances have a maximum network bandwidth of up to 3 600 gbps a4x instances offer up to 140 vcpus and up to 884 gb of memory each a4x machine type has 4 nvidia b200 gpus attached to 2 nvidia grace cpus a4x instances have a maximum network bandwidth of up to 2 000 gbps important the compute engine service level agreement sla doesn t apply to the a4x max and a4x machine types x86 a4 instances offer up to 224 vcpus and up to 3 968 gb of memory each a4 machine type has 8 nvidia b200 gpus attached a4 instances have a maximum network bandwidth of up to 3 600 gbps and are available on the intel emerald rapids cpu platform a3 instances offer up to 224 vcpus and up to 2 952 gb of memory each a3 machine type has either 1 2 4 or 8 nvidia h100 or 8 h200 gpus attached a3 instances have a maximum network bandwidth of up to 3 200 gbps and are available on the following cpu platforms intel emerald rapids a3 ultra intel sapphire rapids a3 mega high and edge a3 instances are available with the a3 edge machine type a3 edgegpu 8g nolssd which offers 208 vcpus 1 872 gb of memory and 8 nvidia h100 gpus on the intel sapphire rapids cpu platform and titanium a2 instances offer 12 to 96 vcpus and up to 1 360 gb of memory each a2 machine type has either 1 2 4 8 or 16 nvidia a100 gpus attached a2 instances have a maximum network bandwidth of up to 100 gbps and are available on the intel cascade lake cpu platform g4 instances offer 6 to 384 vcpus and up to 1 440 gb of memory each g4 instance has nvidia rtx pro 6000 gpus attached as follows whole gpus in quantities of 1 2 4 or 8 fractional gpus in quantities of 1 8 1 4 or 1 2 g4 instances have a maximum network bandwidth of up to 400 gbps and are available on the amd epyc turin cpu platform g2 instances offer 4 to 96 vcpus and up to 432 gb of memory each g2 machine type has either 1 2 4 or 8 nvidia l4 gpus attached g2 instances have a maximum network bandwidth of up to 100 gbps and are available on the intel cascade lake cpu platform machine series comparison use the following table to compare each machine family and determine which one is appropriate for your workload for a comparison of tpu versions see tpu machines if after reviewing this section you are still unsure which family is best for your workload start with the general purpose machine family for details about all supported processors see cpu platforms to learn how your selection affects the performance of disk volumes attached to your compute instances see persistent disk disk performance by machine type and vcpu count google cloud hyperdisk hyperdisk performance limits compare the characteristics of different machine series from c4 to g2 you can select specific properties in the choose instance properties to compare field to compare those properties across all machine series in the following table workload type instance type cpu type architecture vcpus vcpu definition memory shared memory architecture custom machine types extended memory sole tenancy nested virtualization confidential computing disk interface type hyperdisk balanced hyperdisk balanced ha hyperdisk extreme hyperdisk ml hyperdisk throughput local ssd max local ssd standard pd balanced pd ssd pd extreme pd network interfaces network performance tier_1 networking multi nic max gpus sustained use discounts resource based committed use discounts cuds compute flexible cuds spot vm discounts clear all c4 c4a c4d c4n c3 c3d n4 n4a n4d n2 n2d n1 t2d t2a e2 z3 h4d h3 c2 c2d x4 m4n m4 m3 m2 m1 n1 gpu a4x max a4x a4 a3 h200 a3 h100 a2 g4 g2 workload type general purpose general purpose general purpose network optimized general purpose general purpose general purpose general purpose general purpose general purpose general purpose general purpose general purpose general purpose cost optimized storage optimized compute optimized compute optimized compute optimized compute optimized memory optimized network optimized and memory optimized memory optimized memory optimized memory optimized memory optimized accelerator optimized accelerator optimized accelerator optimized accelerator optimized accelerator optimized accelerator optimized accelerator optimized accelerator optimized accelerator optimized instance type vm and bare metal vm and bare metal vm and bare metal vm vm and bare metal vm vm vm vm vm vm vm vm vm vm vm and bare metal vm vm vm vm bare metal vm vm vm vm vm vm bare metal vm vm vm vm vm vm vm cpu type intel emerald rapids and granite rapids google axion amd epyc turin intel emerald rapids intel sapphire rapids amd epyc genoa intel emerald rapids google axion amd epyc turin intel cascade lake and ice lake amd epyc rome and epyc milan intel skylake broadwell haswell sandy bridge and ivy bridge amd epyc milan ampere altra intel skylake broadwell and haswell amd epyc rome and epyc milan intel sapphire rapids amd epyc turin intel sapphire rapids intel cascade lake amd epyc milan intel sapphire rapids intel emerald rapids intel emerald rapids intel ice lake intel cascade lake intel skylake and broadwell intel skylake broadwell haswell sandy bridge and ivy bridge nvidia grace nvidia grace intel emerald rapids intel emerald rapids intel sapphire rapids intel cascade lake amd epyc turin intel cascade lake architecture x86 arm x86 x86 x86 x86 x86 arm x86 x86 x86 x86 x86 arm x86 x86 x86 x86 x86 x86 x86 x86 x86 x86 x86 x86 x86 arm arm x86 x86 x86 x86 x86 x86 vcpus 2 to 288 1 to 96 2 to 384 2 to 192 4 to 176 4 to 360 2 to 80 1 to 64 2 to 96 2 to 128 2 to 224 1 to 96 1 to 60 1 to 48 0 25 to 32 8 to 192 192 88 4 to 60 2 to 112 480 to 1 920 16 to 112 16 to 224 32 to 128 208 to 416 40 to 160 1 to 96 144 140 224 224 208 12 to 96 6 to 384 4 to 96 vcpu definition thread core thread thread thread thread thread core thread thread thread thread core core thread thread core core thread thread thread thread thread thread thread thread thread core core thread thread thread thread thread thread memory 2 to 2 232 gb 1 to 768 gb 3 to 3 072 gb 4 to 1 488 gb 8 to 1 408 gb 8 to 2 880 gb 2 to 640 gb 2 to 512 gb 2 to 768 gb 2 to 864 gb 2 to 896 gb 1 8 to 624 gb 4 to 240 gb 4 to 192 gb 1 to 128 gb 64 to 1 536 gb 720 to 1 488 gb 352 gb 16 to 240 gb 4 to 896 gb 6 144 to 32 768 gb 248 to 2 976 gb 248 to 5 952 gb 976 to 3 904 gb 5 888 to 11 776 gb 961 to 3 844 gb 3 75 to 624 gb 960 gb 884 gb 3 968 gb 2 952 gb 1 872 gb 85 to 1 360 gb 22 to 1 440 gb 16 to 432 gb shared memory architecture numa uma numa numa numa numa uma numa numa numa numa numa numa numa custom machine types extended memory sole tenancy nested virtualization confidential computing amd sev intel tdx amd sev amd sev amd sev snp amd sev intel tdx nvidia confidential computing amd sev nvidia confidential computing disk interface type nvme nvme nvme nvme nvme nvme nvme nvme nvme scsi pd and local ssd nvme local ssd scsi pd and local ssd nvme local ssd scsi pd and local ssd nvme local ssd scsi pd and local ssd nvme local ssd nvme scsi nvme nvme nvme scsi pd and local ssd nvme local ssd scsi pd and local ssd nvme local ssd nvme nvme nvme nvme scsi scsi pd and local ssd nvme local ssd scsi pd and local ssd nvme local ssd nvme nvme nvme nvme nvme scsi pd and local ssd nvme local ssd nvme nvme hyperdisk balance...
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