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 ...

We used a combination of data parallelism, tensor parallelism, sequence parallelism, and Fully Sharded Data Parallel (FSDP) to scale training along multiple dimensions such as data, model, and ...

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

为了解决这一问题，张量并行技术应运而生。 张量并行（Tensor Parallel）技术的优势是提高计算效率、减少内存消耗、提高模型性能。这恰恰对应了蔚 ...

You can do a lot of electronics without ever touching a tensor, but there are some situations in which tensors are absolutely essential. The problem is that most math texts give you a very dry ...

Co-ordinating units of writing must all be of the same grammatical kind. This is what is referred to as preserving parallel structure. For instance, nouns must match with nouns, adjectives with ...

Additionally, single-core, dual-core, and quad-core with scalable task mappings such as multiple models, data parallelism, and tensor parallelism are available. ENLIGHT Pro incorporates a RISC-V CPU ...

Tensor parallelism is employed within each machine due to high bandwidth, while pipeline parallelism is used across machines to manage lower inter-machine connectivity. Micro-batching further ...

A future full of AI agents, postquantum cryptography, hybrid computing and more is speeding your way. What has you most ...

The appetite for AI remains high, and Nvidia's GPUs have become the chip of choice among AI players of all sizes. "We ...