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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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eaming large distributed parallel file systems manufacturing weather forecasting electronic design automation eda high performance web servers healthcare and life sciences scientific computing seismic processing and structural mechanics applications modeling and simulation workloads ai ml high performance web servers game servers small to large databases oracle sql server sap hana and in memory databases analytics platforms machine learning models high performance file systems security and network appliances small to extra large sap hana in memory databases in memory data stores such as redis simulation high performance databases such as microsoft sql server mysql electronic design automation generative ai models such as the following large language models llm diffusion models generative adversarial networks gan cuda enabled ml training and inference high performance computing hpc massively parallelized computation bert natural language processing deep learning recommendation model dlrm video transcoding remote visualization workstation for accelerator optimized machines containing tpus see tpu machines after you create a compute instance you can use rightsizing recommendations to optimize resource utilization based on your workload for more information see applying machine type recommendations for vms general purpose machine family guide the general purpose machine family offers several machine series with the best price performance ratio for a variety of workloads compute engine offers general purpose machine series that run on either x86 or arm architecture x86 the c4 machine series is available on the intel granite rapids and emerald rapids cpu platforms and powered by titanium c4 machine types are optimized to deliver consistently high performance and scale up to 288 vcpus 2 2 tb of ddr5 memory and 18 tib of local ssd c4 is available in highcpu 2 gb memory per vcpu standard 3 75 gb memory per vcpu and highmem 7 75 gb memory per vcpu configurations c4 instances are aligned with the underlying non uniform memory access numa architecture to offer optimal reliable and consistent performance the c4d machine series is available on the amd epyc turin cpu platform and powered by titanium c4d has a greater max boost frequency as compared with c3d with improved instructions per clock ipc for faster database transactions by leveraging hyperdisk storage and titanium networking c4d demonstrates up to 55 higher queries per second on cloud sql for mysql and 35 better performance on memorystore for redis workloads as compared to c3d c4d instances are available with up to 384 vcpus 3 tb of ddr5 memory and 12 tib of local ssd c4d is available in highcpu 1 875 gb memory per vcpu standard 3 875 gb memory per vcpu and highmem 7 875 gb memory per vcpu configurations c4d instances are aligned with the underlying numa architecture to offer optimal reliable and consistent performance the n4 machine series is available on the intel emerald rapids cpu platform and powered by titanium n4 machine types are optimized for flexibility and cost with both predefined and custom shapes and can scale up to 80 vcpus at 640 gb of ddr5 memory n4 is available in highcpu 2 gb per vcpu standard 4 gb per vcpu and highmem 8 gb per vcpu configurations the n4d machine series is available on the amd epyc turin cpu platform and powered by titanium n4d machine types are built for flexibility and cost optimization through an efficient architecture and next generation dynamic resource management making better use of resources on host machines you can create n4d vms using predefined machine types with up to 96 vcpus and 768 gb of ddr5 memory or you can create n4d vms using custom machine types that allow you to choose varied combinations of compute and memory to optimize costs and reduce resource waste n4d is available in highcpu 2 gb per vcpu standard 4 gb per vcpu and highmem 8 gb per vcpu configurations the n2 machine series has up to 128 vcpus 8 gb of memory per vcpu and is available on the intel ice lake and intel cascade lake cpu platforms the n2d machine series has up to 224 vcpus 8 gb of memory per vcpu and is available on the third generation amd epyc milan platform the c3 machine series offers up to 176 vcpus and 2 4 or 8 gb of memory per vcpu on the intel sapphire rapids cpu platform and titanium c3 instances are aligned with the underlying numa architecture to offer optimal reliable and consistent performance the c3d machine series offers up to 360 vcpus and 2 4 or 8 gb of memory per vcpu on the amd epyc genoa cpu platform and titanium c3d instances are aligned with the underlying numa architecture to offer optimal reliable and consistent performance the e2 machine series has up to 32 virtual cores vcpus with up to 128 gb of memory with a maximum of 8 gb per vcpu and the lowest cost of all machine series the e2 machine series has a predefined cpu platform running either an intel processor or an amd processor the processor is selected for you when you create the instance this machine series provides a variety of compute resources for the lowest price on compute engine especially when paired with committed use discounts the tau t2d machine series provides an optimized feature set for scaling out each vm instance can have up to 60 vcpus 4 gb of memory per vcpu and is available on third generation amd epyc milan processors the tau t2d machine series doesn t use cluster threading so a vcpu is equivalent to an entire core the n1 machine series vms can have up to 96 vcpus up to 6 5 gb of memory per vcpu and are available on intel sandy bridge ivy bridge haswell broadwell and skylake cpu platforms arm the n4a machine series is powered by google s custom designed axion processor the axion processor is built on the arm neoverse n3 compute core which supports arm v9 2 architecture the n4a machine series uses titanium for cpu offloading n4a instances provide up to 64 vcpus with up to 8 gb of memory per vcpu with uniform memory access uma domain n4a instances don t use simultaneous multithreading smt a vcpu in an n4a instance is equivalent to an entire physical core the n4a machine series is engineered to be our most efficient and flexible arm based series delivering exceptional price performance for a wide range of general purpose and scale out workloads ideal use cases include web and application servers microservices containerized applications using google kubernetes engine gke open source databases and development 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 ...
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