Harnessing the compute resources of the cloud to optimize efficiency and costs of batch and service tasks.
Open Data
Python
Benchmarks
Start a server
PRICE/HOURS
CPU
RAM (GB)
CLOUD VENDOR
AWS logo
AWS logo
GCP logo
GCP logo
AWS logo
GCP logo
Hetzner logo
GCP logo
GCP logo
AWS logo
Hetzner logo
AWS logo
GCP logo
AWS logo
AWS logo
AWS logo
Hetzner logo
AWS logo
GCP logo
AWS logo
AWS logo
AWS logo
GCP logo
Hetzner logo
AWS logo
AWS logo
GCP logo
AWS logo
AWS logo
Hetzner logo
AWS logo
AWS logo
AWS logo
GCP logo
AWS logo
GCP logo
SERVER TYPE
t4g.micro
arm64
t4g.small
arm64
t4g.large
arm64
t4g.xlarge
arm64
m7a.medium
arm64
m7a.large
arm64
m7a.2xlarge
arm64
t3a.nano
arm64
t3a.small
arm64
t3a.medium
arm64
t3a.large
arm64
m4.large
arm64
m4.xlarge
arm64
t2.small
arm64
t2.medium
arm64
t2.large
arm64
t2.xlarge
arm64
t2.2xlarge
arm64
t4g.medium
arm64
t4g.medium
arm64
t4g.medium
arm64
t4g.medium
arm64
t4g.medium
arm64
t4g.medium
arm64
c6a.large
arm64
c6a.xlarge
arm64
c6a.2xlarge
arm64
t4g.large
arm64
t4g.medium
arm64
t4g.medium
arm64
t4g.medium
arm64
t4g.medium
arm64
c7i.large
x86_64
c7i.large
x86_64
c5n.large
arm64
e2-highcpu-32
x86_64
REGION
Asia Pacific
Jakarta
Europe
Milan
Asia Pacific
Jakarta
Asia Pacific
Jakarta
Asia Pacific
Hyderabad
Middle East
US East
Middle East
Middle East
Asia Pacific
Hyderabad
US East
Asia Pacific
Melbourne
Asia Pacific
Mumbai
Asia Pacific
Mumbai
Europe
Zurich
Asia Pacific
Mumbai
Asia Pacific
Hyderabad
Africa
Cape Town
Asia Pacific
Hong Kong
Middle East
Europe
Zurich
Asia Pacific
Hong Kong
Asia Pacific
Melbourne
Africa
Cape Town
Asia Pacific
Melbourne
Middle East
Europe
Milan
Asia Pacific
Jakarta
Europe
Zurich
Asia Pacific
Hong Kong
Asia Pacific
Tokyo
US East
Europe
Paris
Europe
Paris
Europe
Milan
us-west-4
Las Vegas
<
extract_transform_load
>
We meticulously monitor cloud providers and flexible server providers, tracking details such as their data centers, availability zones, server offerings, and in-depth pricing options. This comprehensive data is openly accessible through our public databases.
Here are some key highlights regarding the information we currently cover.
SQL query to show statistics on the Spare Cores inventory and update frequency
3 (out of 8 planned) vendors
217 availability zones
1120 server types
216,714 benchmark scores
135,988 live price records
~5k records updated hourly
~10M historical records
Tracked every 5 mins.
<
resource_optimization
>
Only 3 Steps to optimize your compute resources
Screenshot of the server listing page, focusing on the filter elements in the sidebar
1
Step
Define Your Needs
Utilize our platform's dozens of filters to precisely outline your workload requirements, specifying details like number of vCPUs, amount of memory/storage, or GPU options.
Screenshot of the server listing page, focusing on the search results, showing 3 instance records in a table
2
Step
Find Optimal Resource
Let Spare Cores narrow down 1,400 server types and 135,000 pricing options based on your criteria. We prioritize cost efficiency, presenting you with optimal choices.
Running the SC runner CLI tool to start a t4g.nano instance
3
Step
Deploy with Ease
Use our CLI tool to launch the selected instance in your cloud environment. Our streamlined process ensures it is up and running without unnecessary complexities.
<spare_cores> is 100% committed
to using and contributing to
open-source!
Spare Cores is still in the early development phase, initiated in Q3 of 2023 and gaining momentum in 2024, particularly thanks to the support from NGI Search funding.
Banner image showing NGI (Next Generation Internet) funding for the SC (Spare Cores) project
<
project_components
>
The status and brief descriptions of all the existing and planned Spare Cores components:
COMPONENTSTATUSREPOSITORYDESCRIPTION
SC CrawlerBetaPython logoInventory cloud resources into a SQlite database.
SC InspectorBetaInspect and benchmark cloud resources.
SC DataBetaPython logoWrapper around data collected using the Crawler.
SC KeeperAlphaAPI logoAPI to search the Data.
SC ScannerStableWWW logoWeb frontend and programming language SDKs for Keeper.
SC RunnerBetaLaunching actual cloud instances.
<
fun_facts
>
The most expensive server costs over $250 per hour. It comes with 448 vCPUs and 24TB RAM.
Most regions have 3 independent zones.
Some are single-zone, and one have 6 zones.
While spot prices are relatively stable nowadays, they can still fluctuate by up to 10% within a day.
There is a 2500x performance difference between the fastest and slowest nodes.
Some vendors charge 6+ times the price of a public IPv4 address compared to others.
<
release_notes
>
We publish case studies, learnings from implementing Spare Cores components, and other project updates from time to time. Find some of our featured articles below: