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Cold Start vs Warm Start Latency

12 posts on cold start vs warm start latency — part of benchmarks & performance on the n4n AI blog.

12 postsBenchmarks & performanceAll posts
Benchmarks & performanceDefinition

What causes cold starts in LLM inference pipelines?

Cold starts in LLM inference happen when idle GPU workers must load weights and initialize before serving. Learn what causes cold start LLM inference.

5 min read
Benchmarks & performanceAnalysis

Serverless GPU inference: cold start latency benchmarked

An engineering analysis of serverless GPU cold start latency for LLM inference: how to measure it, why it matters, and when scale-to-zero is the right call.

4 min read
Benchmarks & performanceAnalysis

Keeping models warm: latency savings vs infrastructure cost

Analyzes the tradeoff to keep models warm latency vs cost for LLM serving, with break-even math, warm-pool strategies, and code to manage cold starts.

4 min read
Benchmarks & performanceAnalysis

GPU autoscaling: cold start latency under traffic spikes

Analyzing autoscaling GPU cold start traffic spike behavior: tradeoffs between warm pools and scale-from-zero, with real latency patterns and code.

5 min read
Benchmarks & performanceComparison

First request after idle: cold start latency by provider

Compare cold start latency by provider across OpenAI, Anthropic, Groq, Together, Replicate, and Bedrock. Benchmark table, measurement code, and verdict.

4 min read
Benchmarks & performanceAnalysis

Container cold starts vs model load time: latency breakdown

Practical latency breakdown of container cold start vs model load time for LLM serving, covering measurements, tradeoffs, and mitigation strategies.

4 min read
Benchmarks & performanceGuide

Reducing cold start latency with model weight caching

Practical steps to reduce cold start latency model caching for LLM inference: measure, tier, prewarm, evict, route, and validate with real load tests.

3 min read
Benchmarks & performanceAnalysis

Measuring how much a cold start adds to latency

A practical cold start latency benchmark across models shows warm pools matter more than model size for tail latency in LLM inference gateways and routers.

5 min read
Benchmarks & performanceComparison

Cold start vs warm start: measuring LLM inference latency

Engineer-focused head-to-head: cold start vs warm start LLM inference latency across cost, throughput, ergonomics, ecosystem, and limits, with verdict.

6 min read
Benchmarks & performanceComparison

Cold start latency on serverless vs dedicated GPU instances

Engineering comparison of cold start serverless vs dedicated GPU instances for LLM inference: latency, cost, ergonomics, and which to choose per use case.

5 min read
Benchmarks & performanceComparison

Cold start latency across model sizes: 7B vs 70B vs 405B

Cold start latency by model size compared: 7B vs 70B vs 405B across load time, cost, throughput, and ergonomics to guide model selection.

5 min read
Benchmarks & performanceComparison

Cold start benchmarks: vLLM vs TGI vs TensorRT-LLM

Head-to-head comparison of vLLM vs TGI vs TensorRT-LLM cold start latency, throughput, ergonomics, and cost for production LLM serving.

4 min read

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