Artificial Intelligence
Securing AI Agents: Defending CI/CD from Prompt Injection
Autonomous CI/CD is here, but so is the risk of prompt injection. Learn how to secure your AI agents against the next...
Artificial Intelligence
Artificial Intelligence
The Death of Prompt Engineering: Type-Safe Agentic AI
Stop parsing JSON strings. Learn how constrained decoding and Pydantic are replacing prompt engineering with type-safe, reliable Agentic AI.
Artificial Intelligence
vLLM 0.7.0: Native Mamba Support & Hybrid Kernels Guide
vLLM 0.7.0 breaks the Transformer barrier with native Mamba support and hybrid kernels. Here is your technical deep dive.
Artificial Intelligence
Linux Kernel 6.12 LTS: Optimizing Heterogeneous AI Workloads
Linux Kernel 6.12 LTS arrives with EEVDF scheduling and heterogenous compute support, optimizing the OS for the next wave of AI hardware.
Artificial Intelligence
Dynamic LoRA Serving: How vLLM 3.0 Runs 1,000 Models on One GPU Cluster
Unlock massive cost savings with vLLM 3.0. Learn to serve 1,000 distinct LLM fine-tunes on a single GPU cluster using Dynamic LoRA...
Artificial Intelligence
eBPF Service Meshes: Optimizing AI Training Without Sidecars
Sidecar proxies cost 20% CPU and kill AI training speed. Here is how eBPF-powered service meshes eliminate the overhead and optimize RDMA.
Artificial Intelligence
eBPF GPU Tracing: Cut LLM Latency at the Hardware Level
Stop guessing where your LLM latency comes from. Use eBPF to expose the hidden CPU-GPU overhead and optimize inference in real-time.
Artificial Intelligence
Master GraphRAG: Hybrid Vector-Graph Indexing for Multi-Hop
Struggling with multi-hop inference in RAG? Learn how hybrid vector-graph indexing optimizes workflows for complex reasoning.
Artificial Intelligence
Deploying Mamba in Production with PyTorch 2.5 Optimization
Mamba offers linear complexity, but deploying it requires kernel optimization. Here is how to get high-throughput inference with PyTorch 2.5.
Artificial Intelligence
WASI-NN 2.0 + WebGPU: Running Llama 4 in the Browser
WASI-NN 2.0 and WebGPU are enabling high-performance Llama 4 inference directly in the browser, eliminating server latency.