Engineering guides
Practical decisions about GPU memory, training and inference. Sources, limits and a testable next step in every reviewed guide.
A practical memory budget for inference, fine-tuning, image generation, and video workloads—from 24 GB to 192 GB.
Read guide Workload guide 7 min readChoose by memory pressure, software stack, interconnect needs, and the value of finishing sooner—not headline throughput alone.
Read guide Workload guide 7 min readHow model size, quantization, context, batching, and latency targets change the best GPU—and the real cost per request.
Read guide Workload guide 6 min readA workflow-first guide to VRAM, render duration, codecs, storage, and choosing between RTX, L40S, and datacenter GPUs.
Read guide Workload guide 6 min readCompare useful capacity, financing, power, cooling, downtime, and resale value—not just the card price against one month of rent.
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