AWS Silicon Migration Assessment
Evaluate AWS Silicon for enhanced price and performance against NVIDIA GPUs in 6-11 weeks, funded by AWS.
From benchmarking to benefits in weeks.
If you've been utilizing NVIDIA GPUs for ML workloads but are intrigued by the potential cost and performance benefits of AWS Silicon, Loka provides a simple path to evaluation. Our AWS Silicon Migration Assessment benchmarks your existing ML workflows on NVIDIA GPUs against AWS Silicon.
This includes converting models from CUDA to Neuron and assessing performance on AWS Trainium instances, offering a direct comparison, benchmarking report and roadmap to migration.
“Our partnership with Loka allows us to move faster and punch above our weight class with more complex LLM implementations – the kind that remove friction and keep our customers coming back for more.”
Why Engage?
Performance
AWS Silicon may offer price and efficiencies over NVIDIA GPUs
Centralization
Integrate within the AWS ecosystem to simplify ML operations
Innovation
AWS continuously advances with Silicon and generative AI
How It works
Phase I:
Discovery
We review your NVIDIA GPU-based ML setup, focusing on algorithms, training loops and datasets, and establish benchmarks and success metrics compared to your current CUDA models.
Phase II:
Neuron Porting & Model Deployment
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 III:
Benchmarking
We conduct a detailed performance and cost comparison between your Neuron models on Trainium and the NVIDIA GPU models. Our conclusive report outlines benchmark reporting, comparisons and migration strategies to AWS Silicon.
Who Is This For?
Organizations utilizing NVIDIA GPUs for ML workloads
Companies seeking to optimize ML operations cost-effectively
Enterprises aiming for cutting-edge performance in ML tasks
What You Get
Simplyfing your decision making
Direct comparison of AWS Silicon vs. NVIDIA GPUs
Focused on cost, performance and efficiency
Neuron-based model architecture
Tailored to optimize your ML workflows on AWS
Comprehensive benchmarking report
Detailed insights and a roadmap for AWS Silicon adoption
Strategic migration guidance
From pilot setup to full-scale deployment on AWS