NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...
DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.
In recent days, a new large language model from China has started circulating through technical circles with an unusual mix ...
Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference.
Z.ai’s GLM-5.2 is an open-source model aimed at long-context coding-agent workflows, with support for a one million-token ...
Large language models have a speed problem that goes beyond raw hardware. Even on the fastest GPUs available, the standard autoregressive loop — generate one token, wait, generate the next — leaves ...
The open-source model combines a one-million-token context window with architectural updates aimed at lowering the cost of repository-scale AI coding.
Just when the AI industry’s attention seemed fixed on OpenAI, Google and Anthropic, a new Chinese model has stolen the ...
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