Vision Transformer (ViT) Latency
Why Patch Size fundamentally dictates your cloud throughput entirely independently of actual parameter count when deploying Vision Transformers in production.
From the Front Lines of Tech
Sharing strategic insights and lessons from over 20 years of building scalable systems, leading high-performing teams, and navigating complex technology shifts.
· StrategyGovernance: The "Human in the Loop" Fallacy
Humans cannot keep pace with AI outputs at scale. Here is why enterprise growth relies heavily on Constitutional AI, rather than just throwing more human reviewers at the problem.
Debugging Audio Buffer Overruns: When Python Asyncio Drops the Ball
Audio streams do not care about your Garbage Collector. If you miss a 20ms buffer deadline, the audio glitches. Here is how you debug real-time streaming issues on the edge.
Real-time Audio VAD: The Hardest Problem in Voice Agents
Latency in Voice Agents isn't just network time; it's Turn-Taking latency. If your agent cannot reliably detect when the user has stopped speaking, the illusion of intelligence shatters instantly.
Stateful Agents on K8s: Redis is Your Bottleneck, Not the Vector DB
Agents are stateless. Their memory is not. Scaling the LLM reasoning loop is trivial compared to solving the transactional concurrency of agent memory on Kubernetes.
Writing Pallas Kernels for JAX: Stepping Outside the XLA Safety Net
When XLA's heuristics fail for custom attention mechanisms, you can't just hope for a compiler update. Here is how you write Triton-like kernels directly in Python using JAX Pallas.