This pricing calculator offers an estimate of your Anyscale cost. Actual cost will depend on your usage.
1. Estimated costs before volume and committed use discounts. Contact sales for volume rates.
Provider | Name | vCPUs | Memory | GPUs | AC/hr | $/hr |
---|---|---|---|---|---|---|
AWS | m5.2xlarge | 8 | 32 | - | 0.5130 | 0.5130 |
m5.4xlarge | 16 | 64 | - | 1.0395 | 1.0395 | |
m5.8xlarge | 32 | 128 | - | 2.0790 | 2.0790 | |
m5.12xlarge | 48 | 192 | - | 3.1050 | 3.1050 | |
m5.16xlarge | 64 | 256 | - | 4.1445 | 4.1445 | |
m5.24xlarge | 96 | 384 | - | 6.2235 | 6.2235 | |
GCP | n2-standard-8 | 8 | 32 | - | 0.5245 | 0.5245 |
n2-standard-16 | 16 | 64 | - | 1.0488 | 1.0488 | |
n2-standard-32 | 32 | 128 | - | 2.0978 | 2.0978 | |
n2-standard-48 | 48 | 192 | - | 3.1466 | 3.1466 | |
n2-standard-64 | 64 | 256 | - | 4.1955 | 4.1955 | |
n2-standard-96 | 96 | 384 | - | 6.2933 | 6.2933 |
Provider | Name | vCPUs | Memory | GPUs | AC/hr | $/hr |
---|---|---|---|---|---|---|
GCP | a2-ultragpu-1g-nvidia-a100-80gb-1 | 12 | 170 | 1 | 6.7874 | 6.7874 |
a2-ultragpu-2g-nvidia-a100-80gb-2 | 24 | 340 | 2 | 13.5748 | 13.5748 | |
a2-ultragpu-4g-nvidia-a100-80gb-4 | 48 | 680 | 4 | 27.1496 | 27.1496 | |
a2-ultragpu-8g-nvidia-a100-80gb-8 | 96 | 1360 | 8 | 54.2992 | 54.2992 |
Provider | Name | vCPUs | Memory | GPUs | AC/hr | $/hr |
---|---|---|---|---|---|---|
AWS | g5.2xlarge | 8 | 32 | 1 | 1.6335 | 1.6335 |
g5.4xlarge | 16 | 64 | 1 | 2.1870 | 2.1870 | |
g5.8xlarge | 32 | 128 | 1 | 3.3075 | 3.3075 | |
g5.12xlarge | 48 | 192 | 4 | 7.6545 | 7.6545 | |
g5.48xlarge | 192 | 768 | 8 | 21.9915 | 21.9915 |
Provider | Name | vCPUs | Memory | GPUs | AC/hr | $/hr |
---|---|---|---|---|---|---|
GCP | a3-highgpu-8g-nvidia-h100-80gb-8 | 208 | 1872 | 8 | 119.4615 | 119.4615 |
Provider | Name | vCPUs | Memory | GPUs | AC/hr | $/hr |
---|---|---|---|---|---|---|
AWS | g6.xlarge | 4 | 16 | 1 | 1.0868 | 1.0868 |
g6.2xlarge | 8 | 32 | 1 | 1.3203 | 1.3203 | |
g6.4xlarge | 16 | 64 | 1 | 1.7861 | 1.7861 | |
g6.8xlarge | 32 | 128 | 1 | 2.7189 | 2.7189 | |
g6.12xlarge | 48 | 192 | 4 | 6.2127 | 6.2127 | |
g6.16xlarge | 64 | 256 | 1 | 4.5860 | 4.5860 | |
g6.24xlarge | 96 | 384 | 4 | 9.0113 | 9.0113 | |
g6.48xlarge | 192 | 768 | 8 | 18.0225 | 18.0225 | |
GCP | g2-standard-8-nvidia-l4-1 | 8 | 32 | 1 | 1.1524 | 1.1524 |
g2-standard-16-nvidia-l4-1 | 16 | 64 | 1 | 1.5487 | 1.5487 | |
g2-standard-32-nvidia-l4-1 | 32 | 128 | 1 | 2.3414 | 2.3414 | |
g2-standard-48-nvidia-l4-4 | 48 | 192 | 4 | 5.4023 | 5.4023 | |
g2-standard-96-nvidia-l4-8 | 96 | 384 | 8 | 10.8045 | 10.8045 |
Provider | Name | vCPUs | Memory | GPUs | AC/hr | $/hr |
---|---|---|---|---|---|---|
AWS | g4dn.2xlarge | 8 | 32 | 1 | 1.0125 | 1.0125 |
g4dn.4xlarge | 16 | 64 | 1 | 1.6200 | 1.6200 | |
g4dn.8xlarge | 32 | 128 | 1 | 2.9430 | 2.9430 | |
g4dn.12xlarge | 48 | 192 | 4 | 5.2785 | 5.2785 | |
g4dn.16xlarge | 64 | 256 | 1 | 5.8725 | 5.8725 | |
GCP | n1-standard-8-nvidia-t4-16gb-1 | 8 | 30 | 1 | 0.9855 | 0.9855 |
n1-standard-16-nvidia-t4-16gb-1 | 16 | 60 | 1 | 1.4985 | 1.4985 | |
n1-standard-32-nvidia-t4-16gb-1 | 32 | 120 | 1 | 2.5245 | 2.5245 | |
n1-standard-32-nvidia-t4-16gb-4 | 32 | 120 | 4 | 3.9420 | 3.9420 | |
n1-highmem-32-nvidia-t4-16gb-1 | 32 | 208 | 1 | 3.0299 | 3.0299 |
Provider | Name | vCPUs | Memory | GPUs | AC/hr | $/hr |
---|---|---|---|---|---|---|
AWS | p3.2xlarge | 8 | 61 | 1 | 4.1310 | 4.1310 |
p3.8xlarge | 32 | 244 | 4 | 16.5240 | 16.5240 | |
p3.16xlarge | 64 | 488 | 8 | 33.0480 | 33.0480 | |
GCP | n1-highmem-8-nvidia-v100-16gb-1 | 8 | 52 | 1 | 3.9874 | 3.9874 |
n1-highmem-32-nvidia-v100-16gb-4 | 32 | 208 | 4 | 15.9494 | 15.9494 | |
n1-highmem-64-nvidia-v100-16gb-8 | 64 | 416 | 8 | 31.8989 | - |
An Anyscale Credit (“AC”) is a unit of data processing capability per hour on the Anyscale Platform used for measurement and pricing purposes. The number of ACs that are consumed by usage on the Anyscale Platform is driven by various processing metrics depending on the product chosen, which may include metrics like the machine type or compute resources used and the amount of data processed or stored.