vLLM v0.31.0rc3: randomized dummy inputs support in Model Runner V2
Hardware & acceleratorsRelated articles
vLLM: serving models fast
vLLM is the open-source engine that turns a local model into a concurrent server: PagedAttention, continuous batching, installation and the concepts (throughput, quantization, KV cache) for choosing when to use it instead of Ollama.
Nemotron-Parse: NVIDIA's OCR family for reading documents locally
NVIDIA re-released Nemotron Parse (v1.1, v1.2, 2.0) in the same week, on October 20: under 1 billion parameters, page structure included. Local setup with vLLM and the honest limits.
The 16GB Blackwell cards: 5060 Ti, 5070, 5070 Ti
The 16GB VRAM tier is the center of gravity of local AI in 2026. It's enough memory to run the best open dense models in Q4 formats — the 27B class, the new balance point of the open catalog — without giving up too much context, and a list price that (depending on the month) stays within a personal budget. The Blackwell generation offers three cards exactly in the middle of this tier: the RTX 5060 Ti, 5070 and 5070 Ti. Same generation, same GDDR7, three very different experiences. Here's how they compare: what each one really brings you, and where your budget should go.
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