

Beyond Vibe-Checks: Trajectory Evaluation & Synthetic Adversaries
Is your agent actually reasoning, or just lucky? Discover why trajectory analysis and synthetic red-teaming are the only ways to build production-grade autonomous systems.


Is your agent actually reasoning, or just lucky? Discover why trajectory analysis and synthetic red-teaming are the only ways to build production-grade autonomous systems.


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.


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.


See how speculative decoding performs for single-batch requests on an NVIDIA A100. We analyze acceptance rates, latency, and the mechanics of the draft model gamble.


A war story of chasing a 5ms latency spike to a single loose thread. How to read Nsight Systems and spot Warp Divergence.


Recompilation is the silent killer of training throughput. If you see 'Jit' in your profiler, you are losing money. We dive into XLA internals.