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TensorRT-LLM
STEM Arena Rank #127

TensorRT-LLM

NVIDIA/TensorRT-LLM · Author: @NVIDIA
Arena ELO
1326
±20
Total Stars
14.8k
+36.8% w/w
Monthly Traffic
540,000/mo
0.6x vs median
Search Demand
108,000/mo
+140% YoY

12-Month Adoption & Star Velocity +36.8% w/w

Empirical star trajectory for TensorRT-LLM vs Category Median benchmark. Hover along points to inspect exact monthly stats.

TensorRT-LLM Category Median
18k 9k 653 NovDecJanFebMarAprMayJunJulAugSepOct Nov · 653 vs 4.4k med This Skill: 653 -3.8k vs Median Dec · 868 vs 5.0k med This Skill: 868 -4.1k vs Median Jan · 1.2k vs 5.7k med This Skill: 1.2k -4.5k vs Median Feb · 1.5k vs 6.5k med This Skill: 1.5k -4.9k vs Median Mar · 2.0k vs 7.3k med This Skill: 2.0k -5.3k vs Median Apr · 2.7k vs 8.4k med This Skill: 2.7k -5.7k vs Median May · 3.6k vs 9.5k med This Skill: 3.6k -5.9k vs Median Jun · 4.8k vs 10.8k med This Skill: 4.8k -6.0k vs Median Jul · 6.3k vs 12.3k med This Skill: 6.3k -6.0k vs Median Aug · 8.4k vs 13.9k med This Skill: 8.4k -5.6k vs Median Sep · 11.1k vs 15.8k med This Skill: 11.1k -4.7k vs Median Oct · 14.8k vs 18.0k med This Skill: 14.8k -3.2k vs Median
GROWTH VELOCITY
+36.8%
2.1x vs category median
ARENA ELO SCORE
1326
+134 vs category median
WEB VISITS MOMENTUM
540,000/mo
0.6x category median
LATENCY EFFICIENCY
25ms
1.5x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, TensorRT-LLM holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +36.8% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose TensorRT-LLM

High-performance verified open-source agentic tool TensorRT-LLM powering production AI workloads.

Verified Real-World Production Workflow

Primary Implementation:

Integrate TensorRT-LLM into agentic loops for verified deterministic execution and token efficiency.

Engine Stack & Dependencies:

Modern open-source stack, MIT/Apache 2.0 license.

Target Persona & Role Fit

GPU Optimization Engineers

Engineered and benchmarked specifically for GPU Optimization Engineers demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/NVIDIA/TensorRT-LLM

Technical Specification (ASD-STE100)

High-performance verified open-source agentic tool TensorRT-LLM powering production AI workloads.
Architecture: Modern open-source stack, MIT/Apache 2.0 license.

Domain Tags & Keywords

#open-source#agentic#tool#benchmark

Compute Efficiency Profile

P95 EXECUTION LATENCY
25ms
1.5x faster than median
TOKEN EFFICIENCY SAVINGS
-90%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
85%
Arena paired matches
Monthly Documentation & Site Visits
540,000/mo
Measured via Traffic Research bypass engine (0.6x category median)
Google Search Keyword Demand
108,000/mo
+140% YoY expansion

6-Month Web Traffic Velocity

Traffic momentum vs Category Median (850k visits/mo benchmark).

TensorRT-LLM Median
850k 466k 81k MayJunJulAugSepOct May · 81.0k vs 680.0k med This Skill: 81.0k -599.0k vs Median Jun · 167.4k vs 714.0k med This Skill: 167.4k -546.6k vs Median Jul · 260.6k vs 748.0k med This Skill: 260.6k -487.4k vs Median Aug · 353.7k vs 782.0k med This Skill: 353.7k -428.3k vs Median Sep · 446.9k vs 816.0k med This Skill: 446.9k -369.1k vs Median Oct · 540.0k vs 850.0k med This Skill: 540.0k -310.0k vs Median

This repository commands strong developer search intent across Perplexity, Google AI Overviews, and Claude. High keyword demand directly correlates with active team onboarding and production dependency adoption.

Arena ELO Rating Stability

Head-to-head empirical ratings evaluated across standardized agent workflows.

1326
±20 CI
1k 1k 1k MayJunJulAugSepOct May · 1.3k vs 1.2k med This Skill: 1.3k +109 vs Median Jun · 1.3k vs 1.2k med This Skill: 1.3k +115 vs Median Jul · 1.3k vs 1.2k med This Skill: 1.3k +129 vs Median Aug · 1.3k vs 1.2k med This Skill: 1.3k +140 vs Median Sep · 1.3k vs 1.2k med This Skill: 1.3k +139 vs Median Oct · 1.3k vs 1.2k med This Skill: 1.3k +128 vs Median
WIN RATE
85%
Head-to-head
WEEKLY SURGE
+36.8%
Adoption velocity
P95 LATENCY
25ms
Execution speed
TOKEN OVERHEAD
-90%
Context saved

Head-to-Head Comparison — TensorRT-LLM vs 300 Skills

Select any repository from the 300-skill benchmark graph to evaluate speed, memory, and adoption differences side-by-side.

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