Products

Build beyond
possible

Whether you’re looking to support enterprise apps or engineer lifesaving software, Google Cloud virtual machines (VMs) powered by AMD help you build beyond what you thought was possible. Explore our top VMs from our general-purpose and workload-optimized family of machines.

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N2D MACHINE SERIES

Balance big performance
with big savings

The N2D machine series provides the best price performance and the most flexible memory ratio for your cloud-native workloads.

N2D VMs support general-purpose workloads.

  • Enterprise applications
  • Medium-sized databases
  • Web serving
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Qubit saw a 13% reduction in costs after switching to AMD EPYC™ CPU-powered Google Cloud N2D VMs.

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T2D MACHINE SERIES

Get the best price performance
for scale-out workloads

The T2D VMs leapfrog all the other leading public cloud providers’ VMs for scale-out workloads, both for performance and workload total cost of ownership (TCO).

T2D VMs support general-purpose, scale-out workloads.

  • Web servers
  • Media transcoding
  • Large-scale Java applications
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Snap was impressed when they tested Google Cloud’s new T2D VMs with Google Kubernetes Engine.

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C2D MACHINE SERIES

Optimize high-performance computing

The C2D machine series offers the largest VM sizes and the highest consistent performance per core.

C2D VMs support performance-intensive workloads
and real-time applications.

  • AAA gaming
  • Electronic design automation
  • Scientific modeling
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AirShaper switched to running simulations on C2D instances and reduced their costs by almost 50% and reduced simulation times by 30%.

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CONFIDENTIAL COMPUTING

Encrypt your data–even while in use

Confidential VMs from the C2D and N2D machines series keep your sensitive code and other data encrypted in memory during processing, without sacrificing performance.

Breakthrough Confidential Computing helps you ensure compliance and security.

  • Regional regulations and laws
  • Industry standards
  • Internal policies

The Confidential VM implementation held up very well during our performance testing and showed almost no degradation in overall performance.