CUDA

Discover how building a custom GPU-resident Top-K CUDA kernel eliminates PCIe transfer bottlenecks in Agentic RAG pipelines, delivering microsecond-level retrieval for high-performance LLM applications.

A deep dive into how vLLM uses PagedAttention to eliminate memory fragmentation and increase LLM inference throughput by up to 24x.

Explore TitanCore Core-1, a high-performance C++/CUDA infrastructure designed for trillion-parameter LLM training using ZeRO-3 and custom fused kernels for 2.6x speedup.

While the world focuses on Nvidia's H100 and Blackwell GPUs, the real secret to their trillion-dollar dominance lies in CUDA. This deep dive explores how software, not just silicon, created an unassailable moat for AI development.

Explore how modern LLMs like Claude 3.5 Sonnet and OpenAI Codex are revolutionizing GPU programming by generating high-performance Triton and CUDA kernels.

An in-depth technical exploration of how Claude 3.5 Sonnet is revolutionizing low-level GPU programming and serving as a high-fidelity teacher for open-source model distillation.

Discover how fused Triton kernels can drastically reduce memory overhead in the final LLM layers, preventing OOM errors during training and fine-tuning.