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Yandex Compute Cloud
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In this article:

  • Standard platforms
  • High-performance platforms
  • Platforms with GPUs
  • See also
  1. Concepts
  2. Virtual machines
  3. Platforms

Platforms

Written by
Yandex Cloud
Updated at May 5, 2025
  • Standard platforms
  • High-performance platforms
  • Platforms with GPUs
  • See also

Yandex Compute Cloud provides various types of physical processors. Choosing a platform guarantees the type of physical processor in the data center and determines the supported vCPU and RAM configurations. You can also add a graphics accelerator (GPU) to a VM. You need to choose a platform each time you create a new VM.

Warning

The ru-central1-d zone does not support VMs based on Intel Broadwell, Intel Broadwell with NVIDIA® Tesla® V100, Intel Cascade Lake with NVIDIA® Tesla® V100, and AMD EPYC™ with NVIDIA® Ampere® A100. To move such VMs to ru-central1-d, do one of the following:

  • Take a disk snapshot and use it to create a new VM in the ru-central1-d zone on a different platform.
  • Stop the VM, change the platform, and move the VM by running relocate.

Standard platformsStandard platforms

Platform Processor Maximum number of
cores (vCPUs)per VM
CPU base
clock rate (GHz)
Intel Broadwell
(standard-v1)
Intel® Xeon® Processor E5-2660 v4 32 2.00
Intel Cascade Lake
(standard-v2)
Intel® Xeon® Gold 6230 80 2.10
Intel Ice Lake
(standard-v3)
Intel® Xeon® Gold 6338 96 2.00

High-performance platformsHigh-performance platforms

Platform Processor Maximum number of
cores (vCPUs) per VM
CPU base
clock rate (GHz)
Intel Ice Lake Compute-Optimized
(highfreq-v3)
Intel® Xeon® Processor 6354 56 3.00

Platforms with GPUsPlatforms with GPUs

Platform Graphics
accelerator
Processor Specifications
Intel Broadwell with
NVIDIA® Tesla® V100
(gpu-standard-v1)
NVIDIA® Tesla® V100 Intel® Xeon®
Processor E5-2660 v4
Maximum number of GPUs per VM: 4
Number of vCPUs per GPU: 8
RAM per GPU: 96 GB
Intel Cascade Lake
with NVIDIA® Tesla® V100
(gpu-standard-v2)
NVIDIA® Tesla® V100 Intel® Xeon® Gold 6230 Maximum number of GPUs per VM: 8
Number of vCPUs per GPU: 8
RAM per GPU: 48 GB
AMD EPYC™
with NVIDIA® Ampere® A100
(gpu-standard-v3)
NVIDIA® Ampere® A100 AMD EPYC™ 7702 Maximum number of GPUs per VM: 8
Number of vCPUs per GPU: 28
RAM per GPU: 119 GB
AMD EPYC™ 9474F
with Gen2
(gpu-standard-v3i)
Gen2 AMD EPYC™ 9474F Maximum number of GPUs per VM: 8
Number of vCPUs per GPU: 22.5 or 18
RAM per GPU: 180 or 144 GB
Intel Ice Lake with
NVIDIA® Tesla® T4
(standard-v3-t4)
NVIDIA® Tesla® T4 Intel® Xeon® Gold 6338 Maximum number of GPUs per VM: 1
Number of vCPUs per GPU: 4, 8, 16, or 32
RAM per GPU: 16, 32, 64, or 128 GB
Intel Ice Lake with T4i
(standard-v3-t4i)
T4i Intel® Xeon® Gold 6338 Maximum number of GPUs per VM: 1
Number of vCPUs per GPU: 4, 8, 16, or 32
RAM per GPU: 16, 32, 64, or 128 GB

See alsoSee also

  • Supported vCPU and RAM configurations
  • Supported GPU, vCPU, and RAM configurations
  • Pricing for computing resources on different platforms

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