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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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1
mins
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TGI vs. Triton Inference Server: Optimizing Large Language Model Deployment
Aishwarya Goel, Rajdeep Borgohain
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November 13, 2024
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1
mins
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TGI vs. TensorRT LLM: The Best Inference Library for Large Language Models
Aishwarya Goel, Rajdeep Borgohain
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November 13, 2024
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1
mins
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CTranslate2 vs. Triton Inference Server: The Best Choice for Efficient LLM Deployment
Aishwarya Goel, Rajdeep Borgohain
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November 13, 2024
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1
mins
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CTranslate2 or TensorRT LLM? Comparing Top Libraries for Large Language Model Deployment
Aishwarya Goel, Rajdeep Borgohain
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November 13, 2024
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1
mins
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CTranslate2 vs. TGI: Choosing the Best Inference Library for Fast and Efficient LLM Deployment
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November 13, 2024
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1
mins
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DeepSpeed MII vs. Triton Inference Server: Which Inference Solution is Right for Your LLMs?
Aishwarya Goel, Rajdeep Borgohain
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November 11, 2024
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1
mins
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DeepSpeed MII vs. TensorRT LLM: A Complete Guide to Optimized Large Language Model Inference
Aishwarya Goel, Rajdeep Borgohain
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November 11, 2024
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1
mins
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DeepSpeed MII vs. TGI: Choosing the Best Inference Library for Large Language Models
Aishwarya Goel, Rajdeep Borgohain
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November 11, 2024
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1
mins
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DeepSpeed MII vs. CTranslate2: Which Inference Library Powers LLMs Best?
Aishwarya Goel, Rajdeep Borgohain
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November 11, 2024
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1
mins
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vLLM vs. DeepSpeed-MII: Choosing the Right Tool for Efficient LLM Inference
Aishwarya Goel, Rajdeep Borgohain
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November 7, 2024
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1
mins
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vLLM vs. CTranslate2: Choosing the Right Inference Engine for Efficient LLM Serving
Aishwarya Goel, Rajdeep Borgohain
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November 7, 2024
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1
mins
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vLLM vs. TensorRT-LLM: Which Inference Library is Best for Your LLM Needs?
Aishwarya Goel, Rajdeep Borgohain
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November 7, 2024
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1
mins
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vLLM vs. Triton Inference Server: Choosing the Best Inference Library for Large Language Models
Aishwarya Goel, Rajdeep Borgohain
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November 7, 2024
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1
mins
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vLLM vs. TGI: The Ultimate Comparison for Speed, Scalability, and LLM Performance
Aishwarya Goel, Rajdeep Borgohain
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November 7, 2024
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1
mins
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Choosing the Right Text-to-Speech Model: A Use-Case Comparison
Aishwarya Goel, Rajdeep Borgohain
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October 31, 2024
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5
mins
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Maximize LLM Performance: GGUF Optimizations and Best Practices for Efficient Deployment
Aishwarya Goel, Rajdeep Borgohain
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October 23, 2024
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5
mins
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Exploring LLMs Speed Benchmarks: Independent Analysis - Part 3
Rajdeep Borgohain, Aishwarya Goel
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August 30, 2024
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5
mins
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Exploring HTTPS vs. WebSocket for Real-Time Model Inference in Machine Learning Applications
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June 11, 2024
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2
mins
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Building Real-Time Streaming Apps with NVIDIA Triton Inference and SSE over HTTP
Nilesh Agarwal
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May 30, 2024
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mins
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Exploring LLMs Speed Benchmarks: Independent Analysis - Part 2
Rajdeep Borgohain, Aishwarya Goel
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April 26, 2024
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5
mins
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Exploring LLMs Speed Benchmarks: Independent Analysis
Aishwarya Goel, Rajdeep Borgohain
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March 19, 2024
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5
mins
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Quantization Techniques Demystified: Boosting Efficiency in Large Language Models (LLMs)
Rajdeep Borgohain
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February 20, 2024
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6
mins
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The State of Serverless GPUs - Part 2
Aishwarya Goel, Nilesh Agarwal
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November 6, 2023
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10
mins
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Optimized GPU Inference: How Inferless Complements Your Hugging Face Workflows
Aishwarya Goel
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October 3, 2023
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10
mins
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How to Deploy Hugging Face Models on Nvidia Triton Inference Server at Scale
Nilesh Agarwal
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July 17, 2023
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5
mins
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Unraveling GPU Inference Costs for Fine-tuned Open-source Models V/S Closed Platforms
Saurav Khater & Aishwarya Goel
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June 15, 2023
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12
mins
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Latest guides
The State of Serverless GPUs
Aishwarya Goel & Nilesh Agarwal
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10 Apr 2023
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17 mins
Read
The State of Serverless GPUs
Nilesh Agarwal
•
12 Apr 2023
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17 mins
Read
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