4 articles tagged
Open weights closed the intelligence gap from 13 points to 6, yet enterprise share fell to 11%. New August 2026 data shows identical weights scoring 22% or 37% on tool calling depending only on the endpoint.
A decision guide to NVIDIA Nemotron-Labs Diffusion: one checkpoint, three serving modes, the real B200 and DGX Spark throughput numbers, and when tri-mode serving pays off versus autoregressive.
vLLM, Ollama and LM Studio solve different problems. Red Hat measured vLLM at 793 tokens/s versus Ollama's 41, and local inference costs about $0.18-0.29 per million tokens. Throughput, GPU cost, and when each wins.
vLLM's April 2026 benchmark put FP8 KV-cache 14.9% above BF16 on one H100. Priced out, that is $4.24 down to $3.69 per million output tokens - and your AWS purchase model moves the number four times further.
