Deploying PyTorch Models with Nvidia Triton Inference Server
A flexible high-performant model serving solution- 20807Murphy ≡ DeepGuide
Apple M2 Max GPU vs Nvidia V100, P100 and T4
Compare Apple Silicon M2 Max GPU performances to Nvidia V100, P100, and T4 for training MLP, CNN, and LSTM models with TensorFlow.- 26645Murphy ≡ DeepGuide
Polars + NVIDIA GPU Tutorial
Using Polars with NVIDIA GPU can speed up your data pipelines- 24233Murphy ≡ DeepGuide
Apple M2 Max GPU vs Nvidia V100 (Part 2): Big Models and Energy Efficiency
Compare Apple Silicon M2 Max GPU performances and energy efficiency to Nvidia V100 for training CNN big models with TensorFlow- 24564Murphy ≡ DeepGuide
NeMo Guardrails, the Ultimate Open-Source LLM Security Toolkit
Exploring NeMo Guardrails' practical use cases- 25344Murphy ≡ DeepGuide
How to Set Up a Multi-GPU Linux Machine for Deep Learning in 2024
Super-fast setup of CUDA and PyTorch in minutes!- 28874Murphy ≡ DeepGuide
Line-By-Line, Let's Reproduce GPT-2: Section 2 – Hardware Optimization
This blog post will go line-by-line through the hardware optimizations in Section 2 of Andrej Karpathy's "Let's reproduce GPT-2 (124M)"- 28605Murphy ≡ DeepGuide
A Walkthrough of Nvidia's Latest Multi-Modal LLM Family
From LLaVA, Flamingo, to NVLM- 27341Murphy ≡ DeepGuide
ChatGPT: Two Years Later
Tracing the impact of the generative AI revolution- 23953Murphy ≡ DeepGuide
Nvidia CEO Huang: DeepSeek incident underscored the substantial demand for AI compute power
Nvidia CEO Jensen Huang emphasizes that the DeepSeek incident highlights the growing demand for AI computing power.- 18036Murphy ≡ Videos
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