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From hand-tuned to generated: A reproducible Triton GPU kernel benchmark across different vendors
In the world of Large Language Models (LLMs), speed is very important. Much of this speed comes from highly specialized functions called GPU kernels which are small, focused routines that instruct the GPU how to perform calculations with the maximum efficiency....
Protecting Triton kernel deployments with cryptographic signatures
Triton is a domain-specific language and compiler for writing high-performance GPU kernels (snippets of compiled GPU code) using a Python-like syntax. It offers fine-grained control over memory and parallelism, making it ideal for custom, architecture-optimized...
Skip the JITters: Fast, trusted model kernels with OCI caching
Triton is a domain-specific language and compiler for writing high-performance GPU kernels in Python. It offers fine-grained control over memory and parallelism, making it ideal for custom, architecture-optimized compute in machine language and high-performance...
Architecting Cloud-Native Ambient Agents: Patterns for Scale and Control
Moving AI from interactive chatbots to autonomous "ambient" agents requires a fundamental shift in system architecture. This article examines the technical implementation of agents that operate asynchronously within an enterprise environment. We detail a practical...
Simplifying Edge AI Builds with Verified GitHub Actions Patterns
As the ecosystem and economy around AI continues to grow and the Internet of Things (IoT) grows smarter and more prolific, a new paradigm of computing is emerging: edge AI. That is, the application of AI technologies to advanced IoT systems. This has all sorts of...