Older stories and guides from the Convly archive.
Same Blackwell die, same memory bandwidth — but 96GB versus 32GB and ECC. One costs $2,000, the other $7,500. Here’s exactly when the Pro card earns nearly 4x the price.
$450 separates these two, and for AI it buys both more VRAM and almost double the compute. Here’s whether the RTX 5080 justifies the gap over the 5070 for local AI work.
$200 separates these two — but for AI it’s really 12GB vs 16GB of VRAM, and that single number changes which models you can run. Here’s how they compare on real workloads.
A rare case where the cheaper card has more VRAM. The RTX 5070 is faster; the RTX 5060 Ti 16GB fits bigger models. For AI, that trade-off doesn’t have an obvious winner.
DeepSeek V4 now rivals GPT-5.5 on raw capability and costs a fraction of the price — but ChatGPT still wins on polish, ecosystem, and data privacy. Here’s which one fits your needs.
Ollama turned running a local LLM from a weekend project into a single command. Here’s exactly what it is, how it works under the hood, and why it became the default in 2026.
Four tools, four jobs. Ollama and LM Studio are experience layers, llama.cpp is the engine, and vLLM is a production server. Here’s exactly which one to pick — and when.
The number-one reason a model fails to run isn’t a bug — it’s memory. Here’s exactly how much RAM and VRAM each Ollama model size needs, and a formula to know before you download.
Installing Ollama takes about two minutes on any OS. Here are the exact steps for Mac, Windows, and Linux, plus how to run your first model and fix the errors people actually hit.
Ollama can run 100+ models, but you only need a handful. Here are the best local LLMs in 2026 ranked by what you’re actually trying to do — and the VRAM each one needs.
A local coding model means your code never leaves your machine. Here are the best ones in 2026 — ranked by SWE-bench, hardware needs, and how they handle real refactors.
GLM-5.1 is the Claude alternative that costs $3 a month and was trained without any Nvidia hardware. Zhipu’s model is a geopolitical statement as much as a technical one.
