NVIDIA's RTX 5090 offers 32GB of VRAM and 78% more memory bandwidth than the RTX 4090, but the extra performance is most noticeable for specific local LLM workloads such as running 32B models at Q4 wi…
A developer building Lynkr, an open-source LLM router, explains why routing coding-agent requests to cheap local models often breaks agentic sessions. The root cause is that static routing rules measu…
Uber's AI team exhausted its 2026 budget by April, highlighting a widespread cost crisis in agentic AI deployments. A developer reports cutting agent pipeline costs by 74% using a routing architecture…
The KV cache, a memory store for attention keys and values, grows linearly with context length and can exceed model weights in VRAM usage, causing out-of-memory errors for local LLM users. At 32k cont…
NVIDIA's RTX 3090, launched in 2020, remains the best value for local AI in 2026 due to its 24 GB VRAM and 936 GB/s bandwidth, outperforming newer cards like the RTX 5070 and 5080 on price-to-performa…
A comparison of three local large language model runtimes reveals that llama.cpp is the core inference engine, while Ollama and LM Studio are user-friendly wrappers built on top of it. Ollama offers a…
Apple's Mac Studio with M3 Ultra, offering up to 512 GB of unified memory at 819 GB/s, is the most practical desktop solution for running large local AI models like 70B to 400B-class quants without mu…
Nvidia's upcoming RTX Spark desktop, priced between $3,000 and $5,000, may not deliver the performance leap over the existing DGX Spark that marketing suggests, according to a skeptical analysis from …