hardAWS

Would you move a cost-sensitive training and serving fleet from H100 to Trainium2? What do you gain, and what do you have to plan for?

Compare actual useful work and memory units, validate Neuron support, and calculate when rental savings repay porting and operations.

Updated Oct 2026 · Learn how AI infrastructure works through explanations, worked examples and diagrams, then practise applying it to interview questions.

Compare actual useful work and memory units, validate Neuron support, and calculate when rental savings repay porting and operations.

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Work through the numbers

Change the assumptions in a free calculator, then explain what the result establishes and what still needs measurement.

The concepts behind this question

Use these concept explanations to review the ideas behind this question.

Advanced

🧩 GPU & Accelerator Architecture🔒 Premium

Trainium and InferentiaTrainium and Inferentia run workloads through AWS’s Neuron software stack. Evaluate memory, compiler support, interconnects and the cost of adapting the model.

Foundational

🧭 Ownership & Judgment

Talking About Cost and Capacity with LeadershipA capacity discussion should connect technical measurements to cost, delivery dates and risk. Present the assumptions, feasible options and a recommendation, and distinguish committed capacity from actual consumption under the relevant contract.

Advanced

🧮 Napkin Math & Capacity🔒 Premium

TCO: Buy vs RentBuying and renting GPU capacity have different cost and availability risks. Compare them over a stated lifetime and demand pattern, including idle time and operating costs.

Advanced

🧮 Napkin Math & Capacity🔒 Premium

Capacity Planning and UtilizationCapacity planning connects demand, useful throughput and acceptable waiting time. Serving and training need different models of bursts, job shape and spare capacity.

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UP NEXT ON YOUR JOURNEY

Next in this trackThe MI300X has 192 GB per card. When does AMD actually win against an H100 for LLM serving, and what would you check before betting on it?Next in this trackWhy are Groq and Cerebras so fast at batch 1, and what does that speed cost at scale?Next in this trackMIG versus MPS: what isolation does each give you when sharing a GPU, and which would you pick for a multi-tenant inference node?

FEDITOR'S NOTE

Check the hardest required operator before estimating a migration. Compare equal-quality useful work per paid instance-hour and distinguish work-volume payback from calendar time.

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