Clear explanations of core machine learning concepts, from foundational ideas to advanced techniques. Understand attention mechanisms, transformers, skip connections, and more.
Compare NVLink vs PCIe bandwidth for multi-GPU training. Learn GPU topologies, NVSwitch, and choose between NCCL, Gloo, and MPI for distributed deep learning.
Explore Linux filesystems through interactive visuals. Learn VFS, compare ext4 vs Btrfs vs ZFS, and understand file operations.
Deep dive into CPython memory management: PyMalloc arenas, object pools, reference counting, and optimization techniques like __slots__ and generators.
NVIDIA Unified Virtual Memory (UVM): on-demand page migration, memory oversubscription, and simplified CPU-GPU memory management.
Learn how filesystem journaling prevents data loss during crashes. Explore write-ahead logging and recovery in ext4 and XFS.
Understand Linux inodes - the metadata structures behind every file. Learn about hard links, soft links, and inode limits.