Llama on CPU and GPU - across desktop, mobile, web, embedded

Do you think

• you need powerful hardware, like A100 or H100 to run Llama-3-70B?
• you must use different LLM quantization and inference for every platform your application runs?
• machine learning expertise is needed to work with LLMs?

If your answer to any of these questions is "Yes", meet picoLLM!

picoLLM Compression reduces the runtime and storage requirements of any LLM while retaining model performance

picoLLM Inference runs picoLLM models across Linux, macOS, Windows, Android, iOS, Chrome, Safari, Edge, Firefox, Raspberry Pi, or other embedded platforms, supporting both CPU and GPU.

picoLLM Compression and picoLLM Inference together enable enterprises to build AI agents running on-device, on-prem, and in the private cloud without sacrificing performance. Let's learn how to run Lllama, the most popular open-weight LLM, across platforms

Build desktop applications with Llama using Python

Supporting both CPU and GPU acceleration on Windows, macOS and Linux, picoLLM Inference Engine can run LLMs on a wide range of devices, from resource-constrained edge devices to powerful workstations, without relying on cloud infrastructure. picoLLM Inference C SDK, picoLLM Inference Node.js SDK, and picoLLM Inference Python SDK enable desktop applications.

Run Llama in Python ➜

Build mobile applications with Llama using Android

Whilst desktop applications can use powerful CPUs and GPUs, mobile phones have limited hardware. Since our mobile devices are with us almost all the time, privacy is a major concern, and network connectivity is a significant issue, as a fast reliable signal is not a guarantee. picoLLM offers picoLLM Inference Android SDK and picoLLM Inference iOS SDK for mobile applications.

Run Llama in Android ➜

Build web applications with Llama using Javascript

Most LLM inference engines rely on WebGPU, a technology not universally supported across all browsers and often requires the activation of experimental features. The need for a GPU limits the potential user base for web applications leveraging these models. picoLLM runs LLMs locally within web browsers without requiring a GPU, enabling many use cases for LLMs in web applications.

Run Llama in Javascript ➜