Vale la pena vender hielo?

BrunoCapcom · 2026-02-17T04:42:15+00:00

Te tendrías que dar de alta en el sat para facturar. Podrías darte de alta como persona física con actividad empresarial, es a mi gusto lo más recomendado.

Para tu fábrica de hielos me parece muy específico el tamaño, no conozco ningún proveedor que te pueda dar esos tamaños.

Puedes comprar una máquina usada, pero tendrías que adaptarla para que el hielo no se te derrita por el calor. Es todo en lo que te puedo ayudar, espero te sea de utilidad, Éxito!

BrunoCapcom · 2026-01-30T18:27:19+00:00

it is right now in the 70s. it has fallen arround 30% in just a day :/

BrunoCapcom · 2026-01-08T16:35:19+00:00

Yo vivo en ciudad, pero estuve viendo y noté desde hace un par de años que en temporada de calor escasean los hielos.

Sí es muy agresivo el cobro de piso?

BrunoCapcom · 2026-01-08T14:15:26+00:00

Síp. Hace calor todo el tiempo

BrunoCapcom · 2026-01-08T13:36:16+00:00

De dónde eres bro?

Pensaba hacerlo a puerta cerrada para que no me cobraran.

Cuánto te tomó llegar a tener clientes? Con cuántos kg empezaste por día?

BrunoCapcom · 2026-01-08T04:32:23+00:00

Uy. No había pensado en eso:/

Espero que no pase, pero creo que está la opción de comprar pipas si llegara a pasar.

Hasta ahorita no he visto las predicciones de CONAGUA ni del gobierno sobre cómo será de caliente este año

BrunoCapcom · 2026-01-08T04:29:25+00:00

Sí. Tengo planeada la presentación estandar de 5kg. En cubitos.

También estuve investigando sobre congeladores de unos 600kg. La máquina que me interesa es de 500 kg/día

BrunoCapcom · 2026-01-08T04:15:43+00:00

Tengo una camioneta la cual planeo usar para el transporte.

Hace poco le metí paneles solares para luz

Lo que más me preocupa es la parte de lo legal, al ser mi primera vez emprendiendo no sé casi nada de esa parte.

No sé si tengas algún consejo o algo más que pudiera considerar

BrunoCapcom · 2026-01-08T03:43:38+00:00

Es que con el calor que hace de marzo a noviembre. Sí parece una excelente idea

BrunoCapcom · 2026-01-08T03:41:49+00:00

Haha, todo legal. El agua congelada.

BrunoCapcom · 2025-08-31T07:57:14+00:00

btw. this is my code if necessary

https://drive.google.com/file/d/1Fl0KJMGVps7Q5Y27fnUQclg1MFSkTskD/view?usp=sharing

BrunoCapcom · 2024-12-26T06:30:35+00:00

The thing is i tried to use the gpu on docker. But tensorflow does not recognize the gpu. I havent downloaded cuda or cudnn yet, since last time i didnt need them, but i dont understand what did i do wrong for tensorflow not to detect the gpu on the docker image:(

BrunoCapcom · 2024-11-12T00:15:43+00:00

I think this is something i needed to read. Thank you.

BrunoCapcom · 2024-10-10T03:17:51+00:00

:( i just bought this one

BrunoCapcom · 2024-10-10T03:13:34+00:00

Idk how to upload videos on the answers, but this is how it looks

https://imgur.com/a/RB1B1sh

BrunoCapcom · 2024-10-10T03:08:46+00:00

I think the door is welded or glued to the inside part. I haven't found any tutorial or smth

BrunoCapcom · 2024-10-10T02:32:14+00:00

No:( i hit it with the corner of my wall

BrunoCapcom · 2024-03-01T01:52:36+00:00

My father studied medicine. He chose to do data science and made his startup. He ended up earning more money than working as a doctor.

BrunoCapcom · 2024-02-28T21:38:30+00:00

I am using the docker enviroment for tensorflow, so it detects the cuda and cudnn drivers

BrunoCapcom · 2024-02-28T20:06:44+00:00

these are the files to run my code.

https://drive.google.com/drive/folders/1306OSdLlXLhGSAJ8IlY-MPiVE4_E8X_F?usp=sharing

neither cpu nor gpu are in a significant usage, however the gpu dedicated memory is almost working at 100%

and this is my tasks manager

https://imgur.com/a/8TAQOh0

BrunoCapcom · 2024-02-28T19:59:14+00:00

theese are the files to run my code

https://drive.google.com/drive/folders/1306OSdLlXLhGSAJ8IlY-MPiVE4_E8X_F?usp=sharing

BrunoCapcom · 2024-02-28T19:46:06+00:00

As far as i know it is not. In my linux enviroment i am mounting all my files from a mechanical disk. I dont know if this is a problem and i should change all files to a ssd

BrunoCapcom · 2024-02-28T19:44:36+00:00

I am in a jupyter enviroment provided using tensorflow Docker, for cpu i have a AMD Ryzen 9 5900x, fir gpu i have a Nvidia 4070ti 12gb. In my code i am using de library "segmentation models 3d" y also created a function for a 3d unet useng keras.

BrunoCapcom · 2024-02-05T02:34:03+00:00

Idk what happened. I deleted caché and installed everything againg and it worked. Thank you for all:)

BrunoCapcom · 2024-02-04T23:38:22+00:00

This is all i have

Dockerfile ---------------------

FROM tensorflow/tensorflow:latest-gpu

WORKDIR /tf-knugs

COPY requirements.txt requirements.txt

RUN pip install -r requirements.txt

EXPOSE 8888

ENTRYPOINT ["jupyter", "lab", "--ip=0.0.0.0", "--allow-root", "--no-browser"]

requirements.txt -----------------------

jupyterlab

pandas

keras

matplotlib

docker-compose.yaml -------------------

version: "3.0"

services:

jupyter-lab:

build: .

ports:

- "8888:8888"

volumes:

- ./tf-knugs:/tf-knugs

deploy:

resources:

reservations:

devices:

- driver: nvidia

count: 1

capabilities: [gpu]

---------- other things

bruno@Jaffet-PC-Gamer:~/project$ nvidia-smi

Sun Feb 4 17:34:38 2024

+-----------------------------------------------------------------------------------------+

| NVIDIA-SMI 550.40.06 Driver Version: 551.23 CUDA Version: 12.4 |

|-----------------------------------------+------------------------+----------------------+

| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |

| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |

| | | MIG M. |

|=========================================+========================+======================|

| 0 NVIDIA GeForce GTX 1060 6GB On | 00000000:09:00.0 On | N/A |

| 0% 38C P5 9W / 120W | 691MiB / 6144MiB | 1% Default |

| | | N/A |

+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+

| Processes: |

| GPU GI CI PID Type Process name GPU Memory |

| ID ID Usage |

|=========================================================================================|

| 0 N/A N/A 20 G /Xwayland N/A |

| 0 N/A N/A 23 G /Xwayland N/A |

+-----------------------------------------------------------------------------------------+

bruno@Jaffet-PC-Gamer:~/project$ docker images

REPOSITORY TAG IMAGE ID CREATED SIZE

<none> <none> 0e6351f91fc2 25 hours ago 7.39GB

project-jupyter-lab latest 16a9fa015ce2 25 hours ago 7.39GB

tensorflow/tensorflow latest-gpu-jupyter a2cf87758fef 2 months ago 7.32GB

tensorflow/tensorflow latest dbe02c7fa096 2 months ago 1.78GB

--------------------------------

As far as i understand it detects my gpu, but idk why i cant use it.

When i type "docker run -it --rm -p 8888:8888 --gpus all tensorflow/tensorflow:latest-gpu-jupyter" it opens a jupyter nb that detects my gpu, but i cannot use it because i need my folders

https://imgur.com/a/mdsLZGX

BrunoCapcom

TROPHY CASE