Scaling Vector Databases for High-Throughput Text Clustering
Analyzing the bottleneck of bulk clustering and using exact-match caching to reduce index compute load.
Tag: Infrastructure
xAI Model Training Infrastructure: The Grok Tech Stack
The xAI model training infrastructure for Grok relies heavily on JAX and Rust. Discover the architecture, hardware stack, and how xAI scales their massive GPU clusters without PyTorch.
Demystifying Google TPU SparseCore: Accelerating Recommendation Systems
How Google TPU SparseCore solves embedding lookup bottlenecks in recommender models. Learn the co-designed architecture of Trillium's SparseCores.
The Real Performance Improvement Rate of AI Training Chips
Analyze the actual performance improvement rate of training chips and GPUs vs marketing hype. Here is the data on real compute scaling for training and inference.
HBM-Aware Load Balancing with libtpu and GKE
CPU load is a trailing indicator for AI inference. Discover how to use libtpu metrics and the GKE Gateway API to build high-density, memory-aware traffic routing for TPUs.
· StrategyThe Valuation of Open Weights: The Intelligence Supply Chain
Open source models are transforming AI from a variable SaaS cost into a strategic capital asset. Discover why owning the weights is the key to Sovereign AI and a 70% reduction in long-term TCO.