16Air, rear-door heat exchanger or direct-to-chip? Decide for a 60 kW rack.▼mediumNewMicrosoftCoreWeaveCrusoe4 replies○ sign inThree approaches with overlapping ranges, and the choice is decided by the facility and the service model rather than by thermodynamics alone. Where each runs out, what the middle option buys that people underrate, and the operational cost that comes with the most capable one.Open full answer →
23Buy hardware, colocate, or rent from a GPU cloud? Work the decision for a 512-GPU need.▼mediumNewCoreWeaveLambda LabsCrusoe4 replies◆ premiumThe break-even is a utilization number, not a price comparison, and most teams overestimate the utilization they will actually reach. The full cost of owning, the number that decides it, and the two situations where renting wins even at high utilization.Open full answer →
15vLLM, SGLang or TensorRT-LLM: which engine do you pick for a new deployment, and what would change your mind?▼hardNewBasetenTogether AINVIDIA4 replies○ sign inThree engines, one hardware roofline, and the difference between them is which part of the roofline each one reaches first on your workload. The decision is a table, and the table has reversal conditions.Open full answer →
20Self-host a 753B open-weights model or call a hosted API? Work the crossover.▼mediumNewBasetenTogether AIModal4 replies○ sign inThe self-hosted price falls with volume and the API price does not, so the two cross at a token rate. Where that crossing sits, the fixed cost floor that makes low volume expensive, and the three reasons that override the arithmetic in both directions.Open full answer →
36Three open-weights models could serve your product. How do you choose?▼mediumNewBasetenTogether AIModal4 replies◆ premiumBenchmark rankings answer a question your product did not ask, and candidates usually differ more in what they cost to serve than in what they can do. The four axes in elimination order, and the deployment floor that rules candidates out before quality is discussed.Open full answer →