Published on: 2025-07-10 20:08:26
In the early days of Blacksmith, back when we were just a scrappy YC startup building a serverless cloud platform for CI workloads, we ran simulations to model our margins. We figured that with enough customers, the math would work out, and we crossed our fingers — but we didn’t have any real-world data to back up our predictions. About six months after we launched, I came across a blog post by Marc Brooker on the economics of multitenant systems. It captured what we were trying to do much more
Keywords: ci customers fleet margins utilization
Find related items on AmazonPublished on: 2025-07-20 20:04:39
Typical attire of a GPU utilization maximizer. Graphics Processing Units, or GPUs, are the hottest mathematical co-processor since the FM synthesis chips that shaped the sounds of the 1990s . Like all co-processors, they are chosen when the performance of more flexible commodity hardware, like an x86 Central Processing Unit (CPU), is insufficient. GPUs are in particular designed for problems where CPUs cannot achieve the desired throughput of mathematical operations (in particular, matrix mult
Keywords: allocation application gpu like utilization
Find related items on AmazonPublished on: 2025-09-03 18:38:42
Introduction One of the key insights from queuing theory is that the average queue size for an unbounded system tends to increase significantly as utilization approaches 100%. Theoretical models show no bound to this increase and at 100% utilization the resulting average queue size grows toward infinity. This is important because queues themselves consume resources, be it memory or disk space on a computer or factory floor space in a plant. In an ideal world, we wouldn’t need queues. Who likes
Keywords: average queue rate size utilization
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