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better benchmark
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JAlcocerT committed Mar 23, 2024
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1 change: 1 addition & 0 deletions Z_MQTT/MQTT_DASH/readme.md
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## DASH Webhooks + MQTT
6 changes: 6 additions & 0 deletions Z_MQTT/Readme.md
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* Edge Computing - https://github.com/qijianpeng/awesome-edge-computing
* Domotica para pobres - https://forocoches.com/foro/showthread.php?t=6655749

* MicroPython - https://awesome-micropython.com/

* https://github.com/ahundt/awesome-robotics
2 changes: 2 additions & 0 deletions _posts/2023-05-02-pi-vs-orange.md
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Expand Up @@ -271,6 +271,8 @@ https://cpu.userbenchmark.com/Compare/Intel-Core-i7-1185G7-vs-AMD-Ryzen-5-4600G/
### CPU Consumption
The orange idles ~2W
### Build Consumption
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16 changes: 14 additions & 2 deletions _posts/2024-03-15-minipc-vs-pi.md
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Expand Up @@ -77,15 +77,27 @@ And these are the temperatures [registered by NetData](https://fossengineer.com/

Comparing N95 (x86) with the Rockchip RK3588S (ARM64).

#### Temperatures

```sh
sudo stress --cpu 8 --timeout 120
```

* Orange Pi 5 - 80C & 8w peak power (no fan enabled) and it quickly goes back to the ~45C after the test
* BMax B4 (N95, fan enabled that goes to full speed) - 66C and 15W peak power


#### Phoronix

For Synthetic benchmarks I have used [phoronix](#how-to-benchmark-with-phoronix-test-suite):

![BMAX B4 - Temperature during Docker Build](/img/minipc-vs-pis/n95-cpu-phoronix.png)
_Intel N95 4 cores with phoronix Open Source Benchmark_

![BMAX B4 - Temperature during Docker Build](/img/minipc-vs-pis/orangepi5-cpu-phoronix.png)
_The Orange Pi 8 Cores is a beast_

_The Orange Pi 8 Cores is a beast scoring 38s_

For reference, I [benchmarked *bigger* CPUs here](https://jalcocert.github.io/Linux/docs/linux__cloud/benchmark/). Plot twist, both CPUs (specially the Rockchip, has nothing to envy)

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8 changes: 7 additions & 1 deletion _posts/2024-12-01-ollama-raspberry-pi.md
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Expand Up @@ -6,6 +6,12 @@ categories: [IoT & Data Analytics, AI]
tags: [Self-Hosting, Docker]
---

## Best Performing LLMs for a RPi

---

## FAQ
## FAQ

### How to use Ollama with a Raspberry Pi

You can [SelfHost Ollama with Docker](https://fossengineer.com/selfhosting-llms-ollama/) and choose a small enough model that it will fit in the RAM.

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