How Teams Use
Nymbus in Practice

"We spent months pulling together LLM serving figures from vendor documentation before someone on the team found Nymbus. The difference was immediate — not just the data itself, but the notes explaining what each figure actually means for deployment scenarios. We use the library every quarter now."

"The Comparison Toolkit has become a standard part of our planning workflow. Before we had it, different team members would show up to planning sessions with different sets of figures from different sources. Now we all reference the same data and the same framing. It sounds like a small thing but it genuinely cuts meeting time."

"We commissioned a Custom Insight Report when our team was preparing a briefing for our board on GPU provisioning options. The discovery call was useful in itself — having to articulate our questions clearly helped us think through what we actually needed to know. The report was well-organised and formatted in a way we could directly reference in our slides."

"I had a specific question about why two entries in the library showed different throughput figures for what looked like the same workload. I emailed Nymbus and got a detailed explanation the next morning. That kind of access to the team behind the data is something I have not found with any other resource."

"Good resource overall. The library covers the main workload categories we needed — inference throughput and batch processing latency. The PDF summaries are well-formatted. Only minor thing is that a couple of edge categories I was looking for are not yet covered, though the team mentioned they are being added in the next refresh cycle."

"We subscribe to the library as a team using the Comparison Toolkit. The side-by-side pane feature is genuinely useful when we are reviewing a set of hardware options in a planning session — you can keep two configurations visible at once without switching views. The export to PDF means we can include comparison sheets directly in our internal documentation."