Physical specifications
Capacities, units and hardware characteristics are linked to their references. Manufacturer values retain their conditions and scope of validity.
KOPERATEUR LABS · KOPERATEUR CONSULTING R&D
Explore what is possible
Move research forward
Koperateur Consulting’s R&D showcase for advancing artificial intelligence. Simulate architectures we cannot always own, visualize their numerical states and test hypotheses in a shared research workspace.
Sign in to access the research workspace
A simulated machine
Real research questions
Studying neural network capabilities and limits requires understanding the resources behind them: CPU/GPU compute, RAM, VRAM, storage, transfers, energy and temperature. LABS connects these constraints to documentary sources and traceable experiments.
What happens to the same workload when PCIe is saturated? Compare two scenarios, inspect their traces and retain documented experiments. See the protocol ↗
Architectures to explore
Compare CPU/GPU placement, memory pressure and transfers. Visualize recurrent states and numerical spaces to examine new hypotheses about AI architectures.
Reproducible results
Keep parameters, the seed, sources and traces together. Replay an experiment to examine what changes and what holds.
Our approach
From sources to experiments
From experiments to discussion
Research moves forward when reasoning can be examined, conditions recovered and results reproduced.
01Document
Upload documents, inspect extracted passages and connect observations to their sources.
02Experiment
Adjust the virtual machine constraints and explore compute, transfers, memory and recurrent states.
03Compare findings
Freeze a result, submit it for review and share published experiments within the laboratory.
KOPERATEUR LABS
Research built together
Contribute a PDF, examine a constraint, explore a latent space or reproduce a run: every contribution supports Koperateur Consulting’s research. Our direction brings together hardware simulation, study of CUDA constraints and AI-assisted document analysis with sources, contradictions and human review. The guide distinguishes available tools from work in progress.
DocumentationYour workspace, your work
Documents and experiments are private by default. Submission for review and publication are explicit actions, with separate permissions for researchers, reviewers and administrators.
Interpret results at the right scale
The current model is analytical and has not been calibrated against the target hardware. Duration, energy and temperature are simulated from scenario parameters. Numerical states are computed, but do not represent LLM thoughts. A reproducible experiment still needs comparison with physical measurements.
Your next question
belongs at LABS
Join Koperateur Consulting’s research, document a hypothesis and help build better results for artificial intelligence.