Tau VMs
Compute Engine virtual machines optimized for scale-out workloads.
42% better price-performance
What's new


Designed for scale-out workloads
T2D VMs, the first instance type in the Tau VM family, are built on the latest 3rd Gen AMD EPYCTM processors. T2D VMs offer a great combination of performance and price for your scale-out workloads including web servers, containerized microservices, media transcoding, and large-scale Java applications. T2D VMs will come in predefined VM shapes, with up to 60 vCPUs per VM, and 4 GB of memory per vCPU, and offer up to 32 Gbps networking.
Full x86 compatibility
The x86 compatibility provided by T2D VMs gives you market-leading performance improvements and cost savings, without having to port your applications to a new processor architecture.
More savings
T2D will be the lowest cost solution for scale-out workloads, with 42% higher price-performance compared to general-purpose VMs of any of the leading public cloud vendors.
Get more from your containers
Google Kubernetes Engine (GKE) supports Tau VMs, helping you optimize price-performance for your containerized workloads. You can add T2D nodes to your GKE clusters by specifying the T2D machine type in your GKE node pools.
Customers and partners
Industry leading price-performance
Choosing the right virtual machine
"At Snap, it is critical for our business to continue improving our scale-out compute infrastructure for key Snapchat capabilities like AR, Lenses, Spotlight and Maps. We were impressed when we tested Google Cloud’s new Tau VMs with Google Kubernetes Engine. While it's early days, we believe we can gain double digits in infrastructure performance improvements for key workloads—enabling us to do more with less and invest even more in new features for our amazing Snap community."
Cody Powell, Senior Engineering Manager, Snap
Pricing
Tau VMs are priced to support significant TCO and price-performance improvements for your cloud applications. A 32 vCPU VM with 128 GB RAM will be priced at $1.3520 per hour for on-demand usage in us-central1.
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