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 context window.
Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference.
It allows engineering teams to host frontier-level AI on their own sovereign infrastructure, entirely eliminating vendor lock ...
DeepSeek speculative decoding framework DSpark went live June 27 on V4-Flash and V4-Pro, reporting up to 85 percent faster ...
NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...
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The BharatGen story: From tumse na ho payega to karke dikhayenge, chasing India's DeepSeek moment
This is the inside story of how a group of academic visionaries, engineers, and industry veterans are building the foundational infrastructure for India's own "DeepSeek moment".
The open-source model combines a one-million-token context window with architectural updates aimed at lowering the cost of repository-scale AI coding. Z.ai has released GLM-5.2, an MIT-licensed ...
Just when the AI industry’s attention seemed fixed on OpenAI, Google and Anthropic, a new Chinese model has stolen the ...
Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...
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