Andrew Fairless, Ph.D.
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Entries tagged :: GPU
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2025-06-18
What I Read: Domain specific architectures
2025-05-08
What I Read: short case, Nvidia
2025-04-16
What I Read: optimizing softmax
2025-03-04
What I Read: gpu computing
2025-02-27
What I Read: shape, matrix
2025-01-27
What I Read: Transformers Inference Optimization
2024-09-25
What I Read: bare metal to 70B
2024-07-08
What I Read: Ring Attention
2024-05-28
What I Read: Cloud native data loaders ML
2024-04-18
What I Read: Scaling ChatGPT, Engineering Challenges
2024-03-21
What I Read: misleading GPU, CPU benchmarks
2024-01-30
What I Read: Nvidia, GPU gold rush
2024-01-16
What I Read: vectorize wide PyTorch expressions
2024-01-15
What I Read: GPU Computing
2024-01-10
What I Read: Compiling NumPy
2023-12-20
What I Read: Distributed Training, Finetuning
2023-12-06
What I Read: Computational Power, AI
2023-11-15
What I Read: AI’s $200B Question
2023-10-25
What I Read: Nvidia AI Supremacy Temporary
2023-10-19
What I Read: Composable Data Systems
2023-10-10
What I Read: LLM research
2023-10-03
What I Read: Bonsai Networks, RNNs
2023-09-07
What I Read: LLMs
2023-09-06
What I Read: Accelerating PyTorch
2023-07-27
What I Read: LLM Chatbots, Browser
2023-05-09
What I Read: Competitive Machine Learning
2023-03-15
What I Read: Optimizing Machine Learning Training Pipelines
2022-11-16
What I Read: Productizing Large Language Models
2022-09-12
What I Read: BLOOM Training
2022-03-02
What I Read: AI Accelerators, Very Rich Landscape
2022-03-01
What I Read: AI Accelerators, Architectural Foundations
2022-02-28
What I Read: AI Accelerators
