n2-highmem-8 on Databricks
n2-highmem-8 is a memory optimized Google Cloud worker type with 8 vCPUs and 64 GB of memory. On Databricks it uses 1.92 DBUs an hour, so 1 node on Jobs Compute in Iowa (us-central1) costs $0.812 an hour: $0.288 for the DBUs and $0.524 to Google Cloud for the machine.
Google Cloud · Memory optimized · n2-highmem
n2-highmem-8 at a glance
- vCPUs
- 8
- Memory
- 64 GB
- Own SSD
- None
- Local SSDs are added in the compute settings
- DBUs an hour
- 1.92
- Classic compute
- With Photon
- 4.8
- DBUs an hour, Jobs Compute
- 1 node an hour
- $0.812
- Jobs Compute, Iowa (us-central1)
1 node an hour on each kind of compute
In Iowa (us-central1) on the Premium plan. Databricks charges the DBUs, Google Cloud the machine. A cluster pays this for every worker and for the driver.
| Compute | DBUs an hour | A DBU | Databricks | Machine | An hour |
|---|---|---|---|---|---|
| Jobs Compute | 1.92 | $0.15 | $0.288 | $0.524 | $0.812 |
| Jobs Compute + Photon | 4.8 | $0.15 | $0.72 | $0.524 | $1.24 |
| All-Purpose Compute | 1.92 | $0.55 | $1.06 | $0.524 | $1.58 |
| All-Purpose Compute + Photon | 3.84 | $0.55 | $2.11 | $0.524 | $2.64 |
| Lakeflow pipelines Core | 1.92 | $0.20 | $0.384 | $0.524 | $0.908 |
| Lakeflow pipelines Core + Photon | 4.8 | $0.20 | $0.96 | $0.524 | $1.48 |
| Lakeflow pipelines Pro | 1.92 | $0.25 | $0.48 | $0.524 | $1.00 |
| Lakeflow pipelines Pro + Photon | 4.8 | $0.25 | $1.20 | $0.524 | $1.72 |
| Lakeflow pipelines Advanced | 1.92 | $0.36 | $0.691 | $0.524 | $1.22 |
| Lakeflow pipelines Advanced + Photon | 4.8 | $0.36 | $1.73 | $0.524 | $2.25 |
In each region
1 node an hour on Jobs Compute, Premium, cheapest first.
| Region | Machine | An hour |
|---|---|---|
| Iowa (us-central1) | $0.524 | $0.812 |
| South Carolina (us-east1) | $0.524 | $0.812 |
| Oregon (us-west1) | $0.524 | $0.812 |
| Belgium (europe-west1) | $0.576 | $0.864 |
| Montréal (northamerica-northeast1) | $0.577 | $0.865 |
| Las Vegas (us-west4) | $0.59 | $0.878 |
| Northern Virginia (us-east4) | $0.59 | $0.878 |
| Mumbai (asia-south1) | $0.629 | $0.917 |
| Singapore (asia-southeast1) | $0.646 | $0.934 |
| Tokyo (asia-northeast1) | $0.672 | $0.96 |
| London (europe-west2) | $0.675 | $0.963 |
| Frankfurt (europe-west3) | $0.675 | $0.963 |
| Sydney (australia-southeast1) | $0.744 | $1.03 |
| São Paulo (southamerica-east1) | $0.832 | $1.12 |
| Dammam (me-central2) | $0.838 | $1.13 |
Other memory optimized sizes
- n2-highmem-44 vCPUs, 32 GB, 0.96 DBUs an hour
- n2-highmem-88 vCPUs, 64 GB, 1.92 DBUs an hour
- n2-highmem-1616 vCPUs, 128 GB, 3.84 DBUs an hour
- n2-highmem-3232 vCPUs, 256 GB, 7.68 DBUs an hour
- n2-highmem-4848 vCPUs, 384 GB, 11.52 DBUs an hour
- n2-highmem-6464 vCPUs, 512 GB, 15.36 DBUs an hour
- n2-highmem-8080 vCPUs, 640 GB, 19.2 DBUs an hour
Questions
- How many DBUs does n2-highmem-8 use on Databricks?
- n2-highmem-8 uses 1.92 DBUs an hour on Databricks classic compute without Photon. With Photon it uses 4.8 DBUs an hour on Jobs Compute and 3.84 on All-Purpose Compute, as Databricks' price list gives them.
- How much does n2-highmem-8 cost an hour on Databricks?
- In Iowa (us-central1), 1 n2-highmem-8 node on Jobs Compute costs $0.812 an hour: $0.288 to Databricks for 1.92 DBUs at $0.15 each, and $0.524 to Google Cloud for the machine. On All-Purpose Compute the same node costs $1.58 an hour, and on Lakeflow pipelines Core $0.908. A cluster pays this for every worker and for the driver.
- Does Photon cost more on n2-highmem-8?
- Yes, by the hour: with Photon, 1 n2-highmem-8 node on Jobs Compute in Iowa (us-central1) costs $1.24 an hour instead of $0.812, because it uses 4.8 DBUs an hour instead of 1.92. It saves money only when the job finishes fast enough to make up the difference.
- Which region is cheapest for n2-highmem-8 on Databricks?
- Iowa (us-central1), at $0.812 an hour for 1 node on Jobs Compute, against $1.13 in Dammam (me-central2), the dearest of the 15 regions listed here that offer it. Databricks charges the same for a DBU of Jobs Compute in every Google Cloud region listed, so the gap is the machine.
- What is the same size as n2-highmem-8 on the other clouds?
- The nearest worker types of the same kind are r6id.2xlarge on AWS and Standard_E8ds_v5 on Azure. Each cloud gives its own DBUs an hour for its types, so compare what a cluster costs in the calculator, not the DBUs alone.
- What is the next size up or down from n2-highmem-8?
- One size down is n2-highmem-4, at 0.96 DBUs an hour; one size up is n2-highmem-16, at 3.84. Within a family, DBUs and the machine price grow with the vCPUs, so 2 nodes of a size cost about what 1 node of twice the size costs.
Sources
Where each fact comes from
- 1Databricks: pricing calculator and instance types (the DBUs an hour of each worker type, with and without Photon)
- 2Databricks: pricing on Google Cloud
- 3Google Cloud: general-purpose machine pricing
- 4Databricks: compute configuration reference (the driver is the workers' type by default)
- 5Databricks: Photon
- 6Google Cloud: n2-highmem sizes