Transfer capabilities
Investigate how smaller models can learn useful capabilities from larger teacher models.
AI within a smaller footprint
Capable models.
Smaller GPUs.
Ideas for efficient AI on small, memory-constrained GPUs. Model distillation, quantization, and inference optimization.
Reduce the footprint
Explore ways to reduce inference memory requirements and improve execution efficiency.
Measure the tradeoffs
Compare model quality, latency, throughput, and GPU memory use on constrained hardware.