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Run your GitLab pipelines faster and cheaper

Forget cloud instances! Focus on CI/CD workflows while we handle your
GitLab runners and pipeline jobs.

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Puzl's pipeline jobs beat ordinary cloud instances due to burstable
compute resources: only pure resource consumption is paid.

See pricing
up to
2x faster^*
up to
5x cheaper^*

^* Comparison based on
the benchmarks below against
GitLab.com SaaS runners.

Each pipeline job is boosted with wide CPU and memory limits, but 
only real usage counts.

CPU usage
Memory usage
Effective momentary spending on Puzl
Job resource limits on other platforms
Ineffective constant spending
Job resource limits on Puzl
CPU usage
Memory usage
Effective momentary spending on Puzl
$0.0045$0.0001$0.035$0.025$0.0001$0.0023
Cloning repository
Launching build
Packing Docker image
* The chart depicts a hypothetical pipeline job containing typical
stages.
Job runtime

Do not pay for the resource limits during idle time.
Puzl counts cpu-seconds and memory GB-seconds only when your job is
actually utilising them.

Puzl is made for engineers by engineers. We know how important the
performance metrics are.

Here is the comparison of Puzl pipeline jobs against other platforms
in various benchmarks.

Building Material UI
components library
puzl.cloud
Startup
4m 51s | $0.0939
Growth
4m 21s | $0.0738
Growth
+cache
2m 49s | $0.0501
Business
4m 21s | $0.0287
Business
+cache
2m 36s | $0.0192
GitLab.com SaaS Runners
4 vCPU
16 GB
6m 30s | $0.13
4 vCPU
16 GB
+cache
5m 30s | $0.1101
8 vCPU
32 GB
5m 6s | $0.153
8 vCPU
32 GB
+cache
3m 53s | $0.1167
Digital Ocean Droplet
4 vCPU
8 GB
11m 13s | $0.0714
Building
Linux Kernel
puzl.cloud
Startup
4m 30s | $0.0893
Growth
2m 49s | $0.0634
Business
2m 22s | $0.0254
GitLab.com SaaS Runners
4 vCPU
16 GB
8m 2s | $0.1606
8 vCPU
32 GB
4m 29s | $0.1343
Digital Ocean Droplet
4 vCPU
8 GB
10m 49s | $0.0714
Building WordPress
Docker image
puzl.cloud
Startup
2m 19s | $0.0141
Growth
2m 19s | $0.012
Business
2m 19s | $0.0047
GitLab.com SaaS Runners
4 vCPU
16 GB
2m 36s | $0.052
8 vCPU
32 GB
2m 36s | $0.0775
Digital Ocean Droplet
4 vCPU
8 GB
4m 7s | $0.0714

  * Results of all platforms may vary based on factors such as
    network activity, package registry availability, and more.
  * For Digital Ocean Droplet benchmarks, the official GitLab Docker
    Machine executor was used.

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Say goodbye to platform lock-in!

The transition from your current runners requires no additional
settings in your pipelines.

If unsatisfied, you can quickly switch to other GitLab runner
options.

Security and speed are not a trade-off

Each pipeline job operates within its own light-weight virtual
machine, booting up in a few seconds.

Puzl is an efficient execution layer, designed to speed up and scale
your pipelines without requiring DevSecOps expertise.

Choose your optimal Resource Package

Each Resource Package is valid for 1 year.

If included resources run out, additional charges will be applied on
a per-second basis, based on the package's rate.

Startup
$69.00
1 year access to the service
CPU
12,000 vCPU-minutes included
6 vCPU per pipeline job
$0.00007 per vCPU-second after exhaustion
Memory
48,000 GB-minutes included
16 GB per pipeline job
$0.00001 per GB-second after exhaustion
IOPS Optimized File System
25 GB per pipeline job
Included features
Manage your runners via dashboard or declarative API
Each pipeline job is running in its own isolated virtual machine
1 runner
5 concurrent pipeline jobs per runner
Up to 2 services per pipeline job
Community support in Discord
Growth
$349.00
1 year access to the service
CPU
75,000 vCPU-minutes included
12 vCPU per pipeline job
$0.00005 per vCPU-second after exhaustion
Memory
300,000 GB-minutes included
48 GB per pipeline job
$0.000007 per GB-second after exhaustion
IOPS Optimized File System
40 GB per pipeline job
Flexible Cloud Storage
10 GB included
$0.00000007 per GB-second for usage beyond
Nvidia A100 (40GB)
2 GPU per pipeline job
$0.0005 per allocated GPU-second
Included features
Manage your runners via dashboard or declarative API
Each pipeline job is running in its own isolated virtual machine
5 runners
15 concurrent pipeline jobs per runner
Up to 4 services per pipeline job
Pre-configured pipeline job cache and persistent data storage
Each runner's data storage is isolated and might be accessed like a
normal S3 bucket
8/5 support, 1 business day response time
Business
$1,449.00
1 year access to the service
CPU
800,000 vCPU-minutes included
up to 32 vCPU per pipeline job
$0.00002 per vCPU-second after exhaustion
Memory
3,200,000 GB-minutes included
up to 256 GB per pipeline job
$0.0000025 per GB-second after exhaustion
IOPS Optimized File System
64 GB per pipeline job
Flexible Cloud Storage
50 GB included
$0.00000005 per GB-second for usage beyond
Nvidia A100 (40GB)
up to 4 GPU per pipeline job
$0.0004 per allocated GPU-second
Included features
Manage your runners via dashboard or declarative API
Each pipeline job is running in its own isolated virtual machine
5 GitLab integrations (use them to isolate different teams or GitLab
instances)
10 runners per GitLab integration
30 concurrent pipeline jobs per runner
Up to 10 services per pipeline job
Pre-configured pipeline job cache and persistent data storage
Each runner's data storage is isolated and might be accessed like a
normal S3 bucket
GitLab interactive web terminal
8/7 support, 24 hours response time
Coming Later
Restrict the list of Docker images that can be used in .gitlab-ci.yml
Local Docker registry cache for even faster pipeline job start
Metrics of resource consumption by each pipeline job
Set quotas for resources per GitLab integration or runner
MS Windows execution environment
ARM execution environment
Enterprise
By Request
1 year access to the service
 
Contact Us
Included features
Your runners and pipeline jobs running on dedicated nodes for extra
isolation
Your runners and pipeline jobs running within dedicated control plane
for extra isolation
Custom requirements: ARM, Intel, GPUs other than A100, etc.
Run pipeline jobs on your own infrastructure while managing runners
in Puzl
Servers located in the regions other than EU
Custom Linux kernel build for specific pipeline jobs
Each package comes with 14-day free trial

Trial includes 200 vCPU-minutes and 800 GB-minutes of memory.
We ask for your credit card solely to minimize fraud risk. Feel free
to cancel your trial anytime.

For bank transfer options, please contact us.

Start Free Trial

Get started

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Choose your option

I use GitLab.comI use self-hosted GitLab

Have questions?

I am located in the EU. How does EU location affect pricing and VAT
application?

All prices do not include EU VAT. If you're located in the EU:

 1. All prices above are listed in USD, but for EU residents, the
    prices are the same numbers in EUR.

 2. Puzl Cloud is required to charge VAT on sales of electronic
    services to non-business customers (B2C) in the EU.

 3. Puzl Cloud is required to charge VAT on sales of electronic
    services to business customers (B2B) in Estonia.

 4. Puzl Cloud charges local VAT, unless you have a valid
    Registration Number associated with VAT.

 5. All VAT collected from customers will be reported to the local
    tax authorities under the EU simplified VAT registration regime
    known as the Mini One Stop Shop ("MOSS").

What execution environments do you support?

Currently, we support only Linux x86-64bit environment for executing
pipeline jobs.

Can I run Docker within Puzl's GitLab pipelines?

Yes. The service is optimized to run Docker out of the box without
requiring any changes in your .gitlab-ci.yml.

Are pipeline jobs running in an isolated kernel?

Yes, all pipeline jobs run in an isolated kernel, ensuring both
security and performance.

What kind of CPU cores are allocated for pipeline jobs?

By default, we allocate shared CPU cores for pipeline jobs. However,
if you opt for the Business or Enterprise packages, you have the
flexibility to request exclusive CPU cores. Do note that when
exclusive CPU cores are allocated, they are billed based on the
requested allocation, irrespective of momentary usage.

What settings do I need to make in my pipelines to run them on Puzl?

No changes are required in your existing .gitlab-ci.yml files. Puzl
is fully compatible with your existing pipelines regardless of the
GitLab runner executor you currently use.

Is it possible to use GPUs in my GitLab pipelines?

Yes, you can request Nvidia A100 GPUs for specific pipeline jobs if
needed. This feature is available in all our Resource Packages,
except for the Startup package. Please note that GPU-seconds are not
included in the packages and will incur additional charges.

Do you support any pipelines other than GitLab?

Currently, we only support GitLab pipelines. However, support for
other pipelines is in our roadmap. If you have a specific CI/CD
platform or engine in mind or are keen on seeing support for a
particular one, please let us know. Your feedback might influence our
priority list!

Is Puzl related to GitLab Inc.?

No, Puzl operates independently of GitLab Inc. "GitLab" is a
registered trademark of GitLab Inc., and we use it with the proper
acknowledgment.

 
Not sure yet?
Ask on Discord!
 
 
 
 

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