Redefining cloud-based operations

Execute AI generative models, extensive batch tasks, task queues, and beyond.

Supply your code — we manage the infrastructure.

$ pip install Dibtrun

$ python3 -m Dibtrun setup

1import Dibtrun

2

3def remote_execution(func):

4def wrapper(*args, **kwargs):

5print("Running remotely on Dibtrun!")

6return func(*args, **kwargs)

7return wrapper

8

9@remote_execution

10def hello():

11print("Hello from the remote function!")

12

13# Call the decorated function

14hello()

1def run_script(script_name):

2print(f"{script_name}run")

3print("Initialized.")

4print("Created objects.")

5print(f"Created{script_name.split('.')[0]}.")

6print(f"Mounted./{script_name}.")

7print("Running remotely on Dibtrun!")

8print("App Completed.")

9

10run_script("hello.py")

Designed for extensive-scale tasks

Developed a Rust-based container system for swift cold-starts. Rapidly scale to numerous GPUs and down to none, only paying for usage.

GPU Containers

Startup Execution Status
0.0s 0.0

Successful
0.0s 0.0

Successful
0.0s 0.0

Successful

Evolve rapidly as fast as thinking

Launch functions to cloud swiftly, using bespoke container images and hardware specs. Avoid writing any YAML line.

Everything your app needs

Settings

Define container images and hardware specs solely in code.

Bid farewell to Dockerfiles and YAML.

Storage

Easily set up network volumes, key-value storages and queues with ease.

Employ robust cloud elements resembling standard Python.

Task timetabling

Convert functions intocron tasks using just one code line.

Initiate compute-heavy jobs without hindering your backend.

Internet access points

Serve any function as an HTTPS endpoint.

Ship to your own custom domains.

Monitoring

Track executions, logs and metrics instantly

Debug in real-time using Dibtrun shell.

Protection

Shield tasks with our proven gVisor runtime.

Adhere to SOC 2 industry norms.

Pay exclusively for utilized resources

Expand to hundreds of nodes and reduce to none quickly. Charge for real CPU cycle usage.

Compute costs

per second
per hour

Compute costs

$0.0000533 / core / sec

$0.192 / core / h

GPU

Nvidia A100, 40 GB

$0.001036/ sec

$3.73 / h

Nvidia A100, 80 GB

$0.001553/ sec

$5.59/ h

Nvidia A10G

$0.000306/ sec

$1.10 / h

Nvidia L4

$0.000291/ sec

$1.05 / h

Nvidia T4

$0.000164 / sec

$0.59 / h

Memory

$0.00000667 / GIB/ sec

$0.024 / GIB / h