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TensorRT LLM vs. Triton Inference Server: NVIDIA’s Top Solutions for Efficient LLM Deployment

Aishwarya Goel, Rajdeep Borgohain

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November 13, 2024

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TGI vs. Triton Inference Server: Optimizing Large Language Model Deployment

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TGI vs. TensorRT LLM: The Best Inference Library for Large Language Models

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vLLM vs. DeepSpeed-MII: Choosing the Right Tool for Efficient LLM Inference

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vLLM vs. CTranslate2: Choosing the Right Inference Engine for Efficient LLM Serving

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vLLM vs. TensorRT-LLM: Which Inference Library is Best for Your LLM Needs?

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vLLM vs. Triton Inference Server: Choosing the Best Inference Library for Large Language Models

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vLLM vs. TGI: The Ultimate Comparison for Speed, Scalability, and LLM Performance

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Choosing the Right Text-to-Speech Model: A Use-Case Comparison

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Maximize LLM Performance: GGUF Optimizations and Best Practices for Efficient Deployment

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Exploring LLMs Speed Benchmarks: Independent Analysis - Part 3

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Exploring HTTPS vs. WebSocket for Real-Time Model Inference in Machine Learning Applications

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Exploring LLMs Speed Benchmarks: Independent Analysis - Part 2

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The State of Serverless GPUs - Part 2

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Saurav Khater & Aishwarya Goel

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TensorRT LLM vs. Triton Inference Server: NVIDIA’s Top Solutions for Efficient LLM Deployment

TGI vs. Triton Inference Server: Optimizing Large Language Model Deployment

TGI vs. TensorRT LLM: The Best Inference Library for Large Language Models

CTranslate2 vs. Triton Inference Server: The Best Choice for Efficient LLM Deployment

CTranslate2 or TensorRT LLM? Comparing Top Libraries for Large Language Model Deployment

CTranslate2 vs. TGI: Choosing the Best Inference Library for Fast and Efficient LLM Deployment

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DeepSpeed MII vs. TensorRT LLM: A Complete Guide to Optimized Large Language Model Inference

DeepSpeed MII vs. TGI: Choosing the Best Inference Library for Large Language Models

DeepSpeed MII vs. CTranslate2: Which Inference Library Powers LLMs Best?

vLLM vs. DeepSpeed-MII: Choosing the Right Tool for Efficient LLM Inference

vLLM vs. CTranslate2: Choosing the Right Inference Engine for Efficient LLM Serving

vLLM vs. TensorRT-LLM: Which Inference Library is Best for Your LLM Needs?

vLLM vs. Triton Inference Server: Choosing the Best Inference Library for Large Language Models

vLLM vs. TGI: The Ultimate Comparison for Speed, Scalability, and LLM Performance

Choosing the Right Text-to-Speech Model: A Use-Case Comparison

Maximize LLM Performance: GGUF Optimizations and Best Practices for Efficient Deployment

Exploring LLMs Speed Benchmarks: Independent Analysis - Part 3

Exploring HTTPS vs. WebSocket for Real-Time Model Inference in Machine Learning Applications

Building Real-Time Streaming Apps with NVIDIA Triton Inference and SSE over HTTP

Exploring LLMs Speed Benchmarks: Independent Analysis - Part 2

Exploring LLMs Speed Benchmarks: Independent Analysis

Quantization Techniques Demystified: Boosting Efficiency in Large Language Models (LLMs)

The State of Serverless GPUs - Part 2

Optimized GPU Inference: How Inferless Complements Your Hugging Face Workflows

How to Deploy Hugging Face Models on Nvidia Triton Inference Server at Scale

Unraveling GPU Inference Costs for Fine-tuned Open-source Models V/S Closed Platforms

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Join the serverless revolution today

New in inferless

TensorRT LLM vs. Triton Inference Server: NVIDIA’s Top Solutions for Efficient LLM Deployment

TGI vs. Triton Inference Server: Optimizing Large Language Model Deployment

TGI vs. TensorRT LLM: The Best Inference Library for Large Language Models

CTranslate2 vs. Triton Inference Server: The Best Choice for Efficient LLM Deployment

CTranslate2 or TensorRT LLM? Comparing Top Libraries for Large Language Model Deployment

CTranslate2 vs. TGI: Choosing the Best Inference Library for Fast and Efficient LLM Deployment

DeepSpeed MII vs. Triton Inference Server: Which Inference Solution is Right for Your LLMs?

DeepSpeed MII vs. TensorRT LLM: A Complete Guide to Optimized Large Language Model Inference

DeepSpeed MII vs. TGI: Choosing the Best Inference Library for Large Language Models

DeepSpeed MII vs. CTranslate2: Which Inference Library Powers LLMs Best?

vLLM vs. DeepSpeed-MII: Choosing the Right Tool for Efficient LLM Inference

vLLM vs. CTranslate2: Choosing the Right Inference Engine for Efficient LLM Serving

vLLM vs. TensorRT-LLM: Which Inference Library is Best for Your LLM Needs?

vLLM vs. Triton Inference Server: Choosing the Best Inference Library for Large Language Models

vLLM vs. TGI: The Ultimate Comparison for Speed, Scalability, and LLM Performance

Choosing the Right Text-to-Speech Model: A Use-Case Comparison

Maximize LLM Performance: GGUF Optimizations and Best Practices for Efficient Deployment

Exploring LLMs Speed Benchmarks: Independent Analysis - Part 3

Exploring HTTPS vs. WebSocket for Real-Time Model Inference in Machine Learning Applications

Building Real-Time Streaming Apps with NVIDIA Triton Inference and SSE over HTTP

Exploring LLMs Speed Benchmarks: Independent Analysis - Part 2

Exploring LLMs Speed Benchmarks: Independent Analysis

Quantization Techniques Demystified: Boosting Efficiency in Large Language Models (LLMs)

The State of Serverless GPUs - Part 2

Optimized GPU Inference: How Inferless Complements Your Hugging Face Workflows

How to Deploy Hugging Face Models on Nvidia Triton Inference Server at Scale

Unraveling GPU Inference Costs for Fine-tuned Open-source Models V/S Closed Platforms

Latest guides

The State of Serverless GPUs

The State of Serverless GPUs

More news soon

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