AWS Silicon Migration Assessment

Here's how it works:

Phase 1 - Discovery (1 week): Review your NVIDIA GPU-based ML setup, focusing on algorithms, training loops, and datasets. Establish benchmarks and success metrics compared to your current CUDA models.

Phase 2 - Neuron Porting & Model Deployment (4-8 weeks): Our team ports your ML models to AWS's Neuron and deploys them on Trainium instances, aiming for an isolated performance benchmark against NVIDIA GPUs.

Phase 3 - Benchmarking (1-2 weeks): Conduct a detailed performance and cost comparison between your Neuron models on Trainium and the NVIDIA GPU models. A conclusive report outlines benchmark reporting, comparisons and migration strategies to AWS silicon.