RISC-V Vector Extension for Edge AI Inference
RISC-V Vector Extension (RVV) brings SIMD-style vector instructions to an open ISA, enabling efficient edge AI inference without proprietary GPUs.
RISC-V Vector Extension (RVV) brings SIMD-style vector instructions to an open ISA, enabling efficient edge AI inference without proprietary GPUs.
Conflict-Free Replicated Data Types enable offline-first, collaborative edge applications by guaranteeing eventual consistency without centralized coordination.
Multi-cluster GitOps patterns using Argo CD for application delivery and Crossplane for infrastructure provisioning across Kubernetes fleets.
How mixture-of-experts routing activates only a subset of parameters per token, reducing inference compute while preserving model capacity in large language models.
Compare NVLink and PCIe 5.0 for multi-GPU AI training, including bandwidth, topology, collective communication, and when interconnects bottleneck scaling.
Build reliable APIs with idempotency keys, conditional writes, and outbox patterns to prevent duplicate side effects in distributed systems.
A practical guide to replacing kube-proxy with Cilium eBPF for faster Kubernetes service routing, lower overhead, and deeper network observability at scale.
Learn how vLLM prefix caching reuses KV cache blocks across shared prompts to cut prefill latency, GPU memory waste, and cost in multi-tenant LLM serving.
Analyze HBM3e vs GDDR7 architectures in modern AI accelerators. Compare silicon interposers, PAM3 signaling, thermal footprints, and deployment economics.
Master lock-free ring buffer design in Linux systems programming. Learn SPSC architecture, acquire-release memory orders, and cache line false sharing mitigation.