Accelerated computing
Parallel processing with GPUs and high-performance environments for intensive training and data analysis workloads.
GPU · HPC · PARALLEL PROCESSING
LAB-IA›Projects› Applied AI & StartupsINNOVATION FUNDING
Shared Applied AI Laboratory
Advanced computing.Artificial intelligence.New technologies.
From scientific research to innovation in deep tech startups.
LABIA/CBPF is building a shared laboratory to connect high-performance computing, scientific knowledge and the development of artificial intelligence solutions in Rio de Janeiro.
LABIA / CBPFARTIFICIAL INTELLIGENCEHIGH-PERFORMANCE COMPUTINGDEEP TECH STARTUPS
The project
The power of research. The challenge of innovating.
Developing artificial intelligence takes more than access to algorithms. It takes computing capacity, rigorous experimentation and the knowledge to turn data into reliable models.
The Shared Applied AI Laboratory brings these dimensions together. The initiative expands LABIA/CBPF's connection with science- and technology-based startups, creating the conditions to develop, train and validate solutions in an advanced research environment.
The focus is on deep techs in the State of Rio de Janeiro: companies that turn scientific knowledge and engineering into new technologies.
From science to innovation
01
Infrastructure that enables
Processing capacity for experiments that demand intensive computing.
02
Knowledge that guides
Scientific and technical experience to tackle challenges in models, data and performance.
03
Collaboration that transforms
A bridge between researchers and startups to support the development of new solutions.
Technology & expertise
An advanced foundation for developing AI.
The project connects LABIA's expertise in scientific computing and artificial intelligence engineering to the experimentation needs of startups.
Models and deep learning
Development, training and evaluation of models aimed at complex scientific and technological problems.
DEEP LEARNING · DATA · MODELS
Testing and validation
Experimentation to test hypotheses, compare results and support the evolution of proofs of concept and prototypes.
PROTOTYPES · METRICS · VALIDATION
AI engineering
Reproducibility, versioning and performance optimization throughout the model development cycle.
MLOPS · PERFORMANCE · REPRODUCIBILITY
Infrastructure and knowledge working together.From organizing experiments to the technical evaluation of results.
Project under development
What we are building
An environment to experiment. A connection to move forward.
LABIA is working on structuring a shared applied AI platform. The proposal brings together three complementary lines of development.
Expand processing capacity
Expand the computing base integrated into the CBPF environment to support more technically demanding experiments and models.
Organize experimentation
Set up development, training and validation environments, with resource management and project isolation.
Connect challenges and expertise
Prepare collaboration with startups, bringing development needs closer to the group's scientific and technical experience.
Innovation & expected impact
More room to test. Better conditions to innovate.
The initiative seeks to lower computing barriers and support the evolution of AI solutions, from proof of concept to prototype validation.
- Broaden access to advanced computing for research and development.
- Support experiments with technical evaluation and reproducible results.
- Bring startups closer to AI researchers and specialists.
- Strengthen technological innovation capacity in Rio de Janeiro.
The strength of LABIA
Research, engineering and infrastructure. In one place.
LABIA brings together expertise in artificial intelligence, high-performance computing and data science, backed by CBPF's experience in research and technological development.
Specialized knowledge for complex challenges
The team combines experience in model development, operation of computing environments, scientific data processing and cooperative innovation projects.
Artificial intelligenceScientific computingHPC infrastructureData engineeringTechnological innovation
Project coordination Marcelo Portes de Albuquerque · CBPF
Public science & technological development
Public science. Cutting-edge technology. New possibilities.
The project connects the federal scientific capacity of CBPF/MCTI with state funding from FAPERJ to bring startups closer to the infrastructure and knowledge needed to develop advanced AI.
In line with Brazil's Legal Framework for Science, Technology and Innovation, the initiative puts cooperation between research and companies at the service of technological innovation and solutions with potential benefits for society.
CBPF / MCTIScientific research and technological development
INFRALABProject selected under Call No. 40/2025LABIAArtificial intelligence and shared infrastructure
About the initiative
Research connected to new challenges.
Who is the project being built for?
The project focuses primarily on deep tech startups in the State of Rio de Janeiro that develop artificial intelligence solutions and need computing capacity and technical support for research and development.
Which technical challenges are in focus?
Model training and evaluation, intensive data processing, architecture comparison, performance optimization and prototype validation. Each collaboration will be defined based on the technical challenge and the service conditions.
Is support for startups already open?
The initiative is still being set up. Participation opportunities, access criteria and service conditions will be announced through institutional channels once they are defined.
How can I follow the work?
Follow the LABIA/CBPF portal to learn about the group's areas of work, its projects and institutional information on new collaboration opportunities.
From science to innovation
New technologies start with relevant challenges.
Discover LABIA and follow the building of an environment that connects advanced research, artificial intelligence and startups.