InternEvo is an open-sourced lightweight training framework aims to support model pre-training without the need for extensive dependencies.

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It was only a few months ago when waferscale compute pioneer Cerebras Systems was bragging that a handful of its WSE-3 ...

NVIDIA's latest advancements in parallelism techniques enhance Llama 3.1 405B throughput by 1.5x, using NVIDIA H200 Tensor Core GPUs and NVLink Switch, improving AI inference performance. The rapid ...

Mainstream training systems, such as Megatron-LM, DeepSpeed, and Alpa, typically incorporate built-in parallel strategies like data-parallelism, tensor-parallelism, and pipeline-parallelism, which can ...

Action Recognition,Camera View,Convolutional Neural Network,Degree Matrix,Dimensional Tensor,Feature Aggregation,Feature Maps,Graph Convolution,Graph Convolutional ...

作者 | PPIO 算法专家张青青前   言近一年以来，自 H2O 起，关于 KV 稀疏的论文便百花齐放，而在实际应用中不得不面临的一个问题便是学术论文与实际应用之间的巨大鸿沟，例如，像 vLLM 等框架采用的是 PagedAttention ...

You may have also heard of tensor processing units (TPUs), which are a Google creation and only available via their cloud services. But what are TPUs, and why might you need them? In short ...

Abstract: Sparse tensor contraction (SpTC) is an important operator in tensor networks ... index accesses and uses a bitmap to store the distribution of non-zero elements in a block to reduce the ...