NVIDIA Brings RTX AI PC Day to Pelita Harapan University to Train Student Builders
NVIDIA hosted its annual RTX AI PC Day at Universitas Pelita Harapan (UPH) in Karawaci on October 14, 2026, partnering with 12 desktop and laptop brands to showcase hardware built for student research and productivity, teknogav.com reported. The initiative seeks to shift students from passive technology consumers into active artificial intelligence creators. Adrian Lesmono, Country Consumer Business Lead at NVIDIA Indonesia, stated that turning users into developers must begin on university campuses through multi-disciplinary collaboration, according to teknogav.com.
Campus Leaders Receive Acer Hardware for AI Prototyping
As part of the GeForce Campus Leaders program held during the event, NVIDIA collaborated with Acer to distribute laptops powered by NVIDIA GeForce RTX 50 Series GPUs to selected students, yangcanggih.com reported. Fransisca Maya, Head of Marketing at Acer Indonesia, explained that the hardware aims to give students direct experimentation experience so they can grow into inventors shaping future industries. Rizaldi Sistiabudi, Executive Dean of the College of Emerging Science at UPH, emphasized that artificial intelligence serves as a tool to enhance existing human skills rather than act as a shortcut, noting that UPH established a dedicated AI faculty to integrate data science with fields like medicine and law.
Students Demonstrate Research Acceleration Using RTX 50 Series Hardware
Three UPH students presented specialized prototypes during the event, highlighting how local GPU computing accelerates academic workloads across different disciplines. Richie Cedric Adrian, an artificial intelligence student, used a Predator Helios 18 AI equipped with a GeForce RTX 5090 to research polyp segmentation for early colorectal cancer detection, Jagat Review reported. By shifting training workloads from a CPU to the RTX 5090’s Tensor Cores, Richie reduced model training time from a full day down to one hour and 21 minutes, achieving a speed increase of 14 to 16 times, according to teknogav.com.
Annabel Kineta Jovinne Caron, an informatics student, utilized a Predator Helios Neo 16 AI with a GeForce RTX 5070 to run parallel computations and graph algorithms such as Floyd-Warshall for underwater cable routing in the Makassar Strait, as detailed by Jagat Review. Annabel noted that while a CPU struggles with millions of sequential queue tasks, the GPU’s thousands of parallel cores execute data simultaneously, cutting processing time significantly. Meanwhile, Bryan Daniel Angelino, an information systems student, deployed a Predator Triton 14 AI with a GeForce RTX 5070 to develop SIPETIK, a real-time agricultural pest detection system using YOLOv8, which reduced training duration from 6.3 hours to one hour and four minutes.
Hardware Integration Across Academic Disciplines
| Student Researcher | Program of Study | Hardware Used | Research Focus | Performance Gain |
|---|---|---|---|---|
| Richie Cedric Adrian | Artificial Intelligence | Predator Helios 18 AI (GeForce RTX 5090) | Polyp segmentation for colorectal cancer research | 14x to 16x faster than CPU processing |
| Annabel Kineta Jovinne Caron | Informatics | Predator Helios Neo 16 AI (GeForce RTX 5070) | Parallel computing and Floyd-Warshall graph algorithms | Significantly reduced execution time via parallel core processing |
| Bryan Daniel Angelino | Information Systems | Predator Triton 14 AI (GeForce RTX 5070) | SIPETIK real-time agricultural pest detection (YOLOv8) | Reduced training time from 6.3 hours to 1 hour 4 minutes |
Beyond specialized academic research, NVIDIA promotes the GeForce RTX 50 Series ecosystem to support more than 1,000 AI-accelerated applications and games, spanning 3D design, video editing, generative AI fine-tuning, and communications enhancements via NVIDIA Broadcast, yangcanggih.com reported. Concurrently, retail promotions including Back to School hardware offers and Acer Predator protection plans remain available through official online channels.
Related reading