30Design a deployment that serves a trillion-parameter model at a million tokens of context with usable latency.▼expert★ EssentialNewTogether AIFireworks AIAnthropic4 replies◆ premiumEvery constraint in this bank meets in one design and they conflict. What has to be true of the model before the deployment is possible at all, the four mechanisms that make the latency usable, and the honest statement of what the first request still costs.Open full answer →
29Design an internal LLM gateway for a company: routing across providers and models, caching, fallbacks, and cost controls.▼mediumNewDatabricksSnowflake4 replies◆ premiumForty teams calling three providers with a hundred API keys and no idea what it costs is what the gateway exists to end. One endpoint with a model alias layer, routing by policy and health, a cache that is safe only for deterministic calls, fallbacks that degrade rather than fail, budgets per team, and the audit trail.Open full answer →
09Implement a cache for model weights on a serving node. What makes it different from a normal LRU?▼mediumNewModalBaseten4 repliesunlockedEntries differ in size by a factor of fifty, so a count-based cache is meaningless, and evicting the model currently serving requests is a correctness bug rather than a performance one. Size accounting, pinning, and the two failures that must raise rather than silently evict.Open full answer →