Large Language Models Operations

Wallaroo supports the deployment of Large Language Models (LLM), used by various industries to provide answers and support to end users. These models range in size from a few hundred megabytes to over hundreds of gigabytes, using CPU and often GPU resources for performative model operations.

For access to these sample models and a demonstration on using LLMs with Wallaroo:

Wallaroo LLM Inference Platform
Large Language Models Infrastructure Requirements

How to Upload and Deploy LLM Models in Wallaroo

LLM Performance Optimizations

Large Language Models (LLMs) are the go-to solution in terms of Neuro-linguistic programming (NLP), promoting the the need for efficient and scalable deployment solutions. Llama.cpp and Virtual LLM (vLLM) are two versatile tools for optimizing LLM deployments with innovative solutions to different pitfalls of LLMs.

  • Llama.cpp is known for its portability and efficiency designed to run optimally on CPUs and GPUs without requiring specialized hardware.
  • vLLM shines with its emphasis on user-friendliness, rapid inference speeds, and high throughput.
For access to these sample models and a demonstration on using LLMs with Wallaroo:
Retrieval-Augmented Generation LLMs

How to Monitor LLMs

Large Language Models Tutorials