Evaluating cheap versus expensive LLM serving solutions to find the highest throughput per dollar spent on infrastructure
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Evaluating cheap versus expensive LLM serving solutions to find the highest throughput per dollar spent on infrastructure
3 real searches · 1 real-search pass
2026 LLM inference serving benchmark vLLM SGLang TensorRT-LLM throughput benchmarking methodology continuous batchingGoogle ↗
OBSERVED
GPU cloud pricing H100 H200 B200 L40S A100 hourly 2026 inference providersGoogle ↗
OBSERVED
vLLM performance tuning chunked prefill prefix caching speculative decoding documentationGoogle ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
2026 LLM inference serving benchmark vLLM SGLang TensorRT-LLM throughput benchmarking methodology continuous batching Google ↗
GPU cloud pricing H100 H200 B200 L40S A100 hourly 2026 inference providers Google ↗
vLLM performance tuning chunked prefill prefix caching speculative decoding documentation Google ↗
- GPU Cloud Price Comparison (Updated Oct 2026) · amcompute.com
- GPU rental prices per hour: H100, H200, B200, A100 (2026) · tensorust.com
- GPU Cloud Price Tracker — Hourly H100, A100 & B200 Rental Rates · frenzycap.com
- GPU Compute Price Index · 06.ai
- Documentation · docs.vllm.ai
- Documentation · docs.sglang.ai
- Documentation · nvidia.github.io
- GitHub · github.com
- Optimization and Tuning · docs.vllm.ai
- AIBrix / AI serving benchmark ecosystem · github.com
- SGLang · github.com
- vLLM · github.com
- LM Evaluation Harness · github.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 LLM inference serving benchmark vLLM SGLang TensorRT-LLM throughput benchmarking methodology continuous batching OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
GPU cloud pricing H100 H200 B200 L40S A100 hourly 2026 inference providers OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
vLLM performance tuning chunked prefill prefix caching speculative decoding documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |