DigitalOcean instance · General purpose · Prices checked July 2026
DigitalOcean g-8vcpu-32gb: pricing & specs
DigitalOcean g-8vcpu-32gb is a general purpose instance with 8 vCPU and 32 GiB of memory. It costs $0.3452/hour on-demand — $252.00/month at 730 hours — in the nyc1 baseline region, on-demand Linux list price before reserved or committed-use discounts.
Specifications
- Provider
- DigitalOcean
- Instance type
- g-8vcpu-32gb
- vCPU
- 8
- Memory
- 32 GiB
- Category
- General purpose
- Baseline region
- nyc1
- On-demand hourly
- $0.3452
- On-demand monthly
- $252.00
- Bundled outbound transfer
- 6,000 GB/mo
How DigitalOcean g-8vcpu-32gb compares across providers
Same 8 vCPU / 32 GiB profile on every provider that offers a like-for-like general purpose instance, cheapest first. On-demand list price, compute only.
| Provider | Instance | $/hour | $/month | vs DigitalOcean g-8vcpu-32gb |
|---|---|---|---|---|
| Hetznercheapest | ccx33 | $0.2233 | $162.99 | $-89.01/mo |
| GCP | n2-standard-8 | $0.3108 | $226.87 | $-25.13/mo |
| Vultr | voc-g-8c-32gb | $0.3288 | $240.00 | $-12.00/mo |
| DigitalOcean | g-8vcpu-32gb | $0.3452 | $252.00 | — |
| AWS | m5.2xlarge | $0.3840 | $280.32 | +$28.32/mo |
| Azure | Standard_D8s_v5 | $0.3840 | $280.32 | +$28.32/mo |
Head-to-head: DigitalOcean g-8vcpu-32gb vs Hetzner CCX33 · DigitalOcean g-8vcpu-32gb vs GCP n2-standard-8 · DigitalOcean g-8vcpu-32gb vs Vultr voc-g-8c-32gb · DigitalOcean g-8vcpu-32gb vs AWS m5.2xlarge · DigitalOcean g-8vcpu-32gb vs Azure Standard_D8s_v5
When to choose it
Pick DigitalOcean g-8vcpu-32gb when you are already invested in the DigitalOcean ecosystem — existing VPC/networking, IAM, managed services, and team expertise usually outweigh the $89.01/mo gap to the cheapest equivalent (Hetzner CCX33). Cross-provider migration rarely pays for itself on single-instance compute pricing alone.
This is an on-demand, single-instance list price. Reserved and committed-use discounts (up to ~72%) and your real utilization pattern will move the numbers — model your whole stack with the cloud cost calculator before committing.
Frequently asked questions
What are the specs of DigitalOcean g-8vcpu-32gb?
DigitalOcean g-8vcpu-32gb is a general purpose instance with 8 vCPU and 32 GiB of memory, priced at $0.3452/hour on-demand in the nyc1 region.
How much does DigitalOcean g-8vcpu-32gb cost per month?
At 730 hours/month (24/7), DigitalOcean g-8vcpu-32gb costs $252.00/month on-demand — before any reserved or committed-use discount, which can cut that by up to ~72%.
What is the cheapest alternative to DigitalOcean g-8vcpu-32gb?
Hetzner CCX33 is the cheapest equivalent at $162.99/month — $89.01/month less than DigitalOcean g-8vcpu-32gb, for the same 8 vCPU / 32 GiB profile.
Does DigitalOcean g-8vcpu-32gb use dedicated or shared vCPU?
DigitalOcean g-8vcpu-32gb is a General Purpose Droplet with dedicated vCPUs, the fair like-for-like match for the hyperscalers’ dedicated-vCPU general-purpose families. DigitalOcean’s cheaper Basic Droplets use shared vCPUs and are not compared here.
Does the DigitalOcean g-8vcpu-32gb price include bandwidth?
The listed price is compute-only, but DigitalOcean bundles 6,000 GB/month of pooled outbound transfer into DigitalOcean g-8vcpu-32gb. Hyperscalers meter egress separately at roughly $0.09/GB beyond a small free tier, so the real-world gap is often larger than the compute price alone.
Prices checked July 2026. DigitalOcean g-8vcpu-32gb pricing uses the nyc1 region, on-demand Linux list rate, before reserved/committed-use discounts. See our methodology for sources, update cadence, and mapping rules.
Model your full stack, not just one instance
A single instance is one line item. Use the free SpendArk calculator to compare AWS, Azure, GCP, DigitalOcean, Hetzner, and Vultr across compute, database, storage, and networking together.
Open the cloud cost calculator →Other DigitalOcean sizes
- DigitalOcean g-2vcpu-8gb — 2 vCPU / 8 GiB — $63.00/mo
- DigitalOcean g-4vcpu-16gb — 4 vCPU / 16 GiB — $126.00/mo
- DigitalOcean g-16vcpu-64gb — 16 vCPU / 64 GiB — $504.00/mo
See all instances in the instance directory.