NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...
In recent days, a new large language model from China has started circulating through technical circles with an unusual mix ...
DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.
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 ...
Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference.
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 ...
It allows engineering teams to host frontier-level AI on their own sovereign infrastructure, entirely eliminating vendor lock ...
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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