Snowpark Container Services: Azure instance families

Instance families are grouped as current generation or previous generation. Azure instance families are available in three types:

  • General Compute (GEN): Recommended for general-purpose containerized workloads.
  • High Memory (MEM): High memory-to-vCPU ratio for applications that require large amounts of RAM, such as CPU-based model serving, large-scale in-memory data processing, and vector index serving.
  • GPU Accelerated (GPU): For machine learning training, inference, and AI workloads requiring GPU acceleration.

For pricing information, see the Snowflake Service Consumption Table.

Note

Instance family availability varies by region and can change over time. To list the instance families available in the region of your current account, run SHOW COMPUTE POOL INSTANCE FAMILIES. If an instance family you need isn’t listed, contact your Snowflake account team.

The Node limit column shows the default maximum number of nodes of each instance family that an account can use. An account can also have at most 750 active or idle nodes in total, across all instance families. For more information, see Guidelines and limitations.

Current generation instance families

General compute instance families

Current generation instances recommended for general-purpose workloads.

x86 general compute

Current generation x86 instances for general-purpose workloads.

Instance FamilyvCPUMemory (GiB)Storage (GB)Bandwidth limit (Gbps)Node limit
GEN_X64_G2_21610012.5500
GEN_X64_G2_431310012.5500
GEN_X64_G2_862810012.5500
GEN_X64_G2_16145810012.5500
GEN_X64_G2_322811610016.0500

High memory instance families

Current generation x86 instances optimized for memory-intensive workloads.

Instance FamilyvCPUMemory (GiB)Storage (GB)Bandwidth limit (Gbps)Node limit
MEM_X64_G2_865810012.5500
MEM_X64_G2_322824010012.5500
MEM_X64_G2_646049210016.0500
MEM_X64_G2_969265210016.0500

GPU accelerated instance families

Azure GPU instance families feature three NVIDIA GPU architectures, each suited to different AI and ML workloads.

NVIDIA T4

Turing GPU for cost-effective inference and light ML workloads.

Instance FamilyvCPUMemory (GiB)NVMe Storage (GB)Bandwidth limit (Gbps)GPUGPU Memory per Instance (GB)Node limit
GPU_NV_XS3261008.01 NVIDIA T41610

NVIDIA A10

Mid-range Ampere GPU for ML model development and inference on small to medium models.

Instance FamilyvCPUMemory (GiB)NVMe Storage (GB)Bandwidth limit (Gbps)GPUGPU Memory per Instance (GB)Node limit
GPU_NV_SM3242410040.01 NVIDIA A102410
GPU_NV_2M6885810080.02 NVIDIA A10485

NVIDIA A100

High-throughput Ampere GPU for large-scale model training and large dataset processing.

Instance FamilyvCPUMemory (GiB)NVMe Storage (GB)Bandwidth limit (Gbps)GPUGPU Memory per Instance (GB)Node limit
GPU_NV_3M4442410040.02 NVIDIA A100160On Request
GPU_NV_SL9285810080.04 NVIDIA A100320On Request

Previous generation instance families

General compute instance families

Previous generation x86 instances. For new workloads, use GEN_X64_G2 instances instead.

Instance FamilyvCPUMemory (GiB)Storage (GB)Bandwidth limit (Gbps)Node limit
CPU_X64_XS1610012.5500
CPU_X64_S31310012.5500
CPU_X64_M62810012.5500
CPU_X64_SL145810012.5500
CPU_X64_L2811610016.0500

High memory instance families

Previous generation x86 instances optimized for memory. For new workloads, use MEM_X64_G2 instances instead.

Instance FamilyvCPUMemory (GiB)Storage (GB)Bandwidth limit (Gbps)Node limit
HIGHMEM_X64_S6581008.0500
HIGHMEM_X64_M2824010016.0500
HIGHMEM_X64_SL6049210032.0500