IBM UFCG

Research and development on AI, high-performance hardware, and infrastructure — a partnership between UFCG and IBM.

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    • Introduction

      Welcome to the blog of the partnership between the Federal University of Campina Grande (UFCG) and IBM!

      This space brings together articles, tutorials, and research results produced by our team across different projects. Each project focuses on a distinct area of research:

      • LLM Evaluation — evaluation of large language models, with a focus on benchmarks for Brazilian Portuguese.
      • AgentOps — development of AI agents capable of autonomously performing multiple tasks.
      • Judo-AI — use of AI models for analysis of judo matches and training sessions, applying computer vision and deep learning techniques for movement detection and action recognition.
      • 5G — integration of AI techniques in 5G network environments, with intelligent control, optimization, and network management mechanisms.
      • MultiArq — provisioning of common tools for new architectures (ppc64le), seeking and adapting specific tools and creating technical documentation about the architecture.

      Browse the posts and follow the latest updates!

    • Running VMs with KubeVirt on IBM Power9 (ppc64le)

      This post documents how we adapted KubeVirt to create and manage virtual machines via Kubernetes on IBM Power9 (ppc64le), an architecture not officially supported by the project.

    • TensorFlow 2.21 CPU on IBM Power9 (ppc64le)

      This post documents the native compilation of TensorFlow 2.21 on IBM Power9 (ppc64le), covering the bootstrap of Bazel 7, bypass strategies for hermetic dependencies, and surgical patches for GCC compatibility.

    • LLM Inference with Ollama on IBM Power9 Using GPU

      This post documents how to perform LLM inference with Ollama on IBM Power9 using GPU, focusing on a fork compatible with NVIDIA Tesla V100 on POWER9.

    • LLM Inference with vLLM Using GPU on Power9

      Guide to install and run vLLM on Power9 (ppc64le) with GPU, including LLVM, Triton, PyTorch, and containerization.

    • LLM Inference with Ollama on IBM Power9 Using CPU

      In this post, we present a practical guide for performing LLM inference with Ollama on IBM Power9 (ppc64le architecture), using the CPU.

    • Installing Docker in an Architecture ppc64le (Power9) Environment

      This post walks through how to install Docker Engine on AlmaLinux 8.10 on IBM Power9 (ppc64le), including removing conflicting packages, configuring the official repository, and handling image compatibility concerns.

    • Power9 Virtualization: how we structured an isolated environment with KVM and Libvirt

      In this post, we explore how we built a virtualized environment using KVM and Libvirt on a Power9 server, focusing on isolation, reproducibility, and shared team usage.

    • Evaluation of IBM Granite Models for Code-Generation Tasks on HumanEvalX

      We evaluated the IBM Granite family on code-generation tasks using the HumanEvalX benchmark, covering five programming languages and analyzing how models of different sizes perform across these scenarios.

    • Computação@UFCG Leads Brazil's Contributions to the HELM-Stanford Framework in Partnership with IBM

      Collaboration between UFCG’s Computer Science department and IBM makes the university the top Brazilian contributor to the HELM-Stanford evaluation framework in 2025.

    • LLMs Inference API on IBM Power9 Server

      This post is part of a tutorial series whose ultimate goal is to build a LLM API on Power9 servers. In this stage, we will present the API and show how to make requests.

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    • IBM & UFCG - 2025