Stop overpaying for idle GPUs by splitting your LLM workload into prompt and generation pools. It’s like giving your AI its ...
sit4tfjs is a comprehensive benchmarking tool designed specifically for TensorFlow.js models. It provides detailed performance analysis, supports multiple input models, dynamic tensor shapes, and ...
The interesting part: all six compute kernels run through HAT dispatch - GEMV, RMSNorm, RoPE, SiLU, Softmax, and Attention. That's 100% kernel coverage, roughly 8,000 HAT dispatches per 32-token ...
According to @demishassabis, Google DeepMind launched Gemma 4 as a family of open models in four sizes: a 31B dense model optimized for raw performance, a 26B Mixture-of-Experts variant targeting ...
More than 3 billion GPUs sit idle worldwide, and the race to secure AI compute is pushing more companies to explore innovative infrastructure models that can tap idle GPU capacity across consumer and ...
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