在过去半个月的时间里，GPU领域遭遇了两大主要挑战。首先，美国政府出台了新的禁令措施，对GPU的发展构成了直接限制。其次，ASIC等定制芯片的迅速崛起，给GPU市场带来了显著的冲击与竞争压力。

the stuff that actually does the heavy lifting when it comes to graphics processing — is pretty much the same. The differences between card manufacturers will come down to details like heat sink ...

Hello folks，我是 Luga，今天我们来聊一下人工智能应用场景 - 构建高效、灵活的计算架构的 GPU 资源的核心基础设施-CUDA 核心（CUDA Cores）。     在 GPU 众多特性中，NVIDIA GPU 凭借其独特的 ...

The reason Nvidia's sales are expected to have catapulted from $27 billion to an estimated $195 billion in three years is its AI-inspired graphics processing units (GPUs). Orders for the company's ...

The new consumer GPUs are manufactured based on TSMC’s 4NP process, which is a 4nm node. Early leaks about the cards suggested that Nvidia would switch to a 3nm process, but that didn’t pan out.

Today's GPU computing frameworks, combined with AI-guided physics and new methods for generating training data for large quantitative machine learning models, are expected to contribute to ...

GPUs typically have higher processing throughput compared to CPUs, which is why they're also commonly used for processing in ...

We’ve seen GPU processing used to do neural networks in the browser. You might also be interested in checking out GPU.js.

The acquisition of Cambridge, England-based PetaGene follows Storj’s July acquisition of Valdi, which provides on-demand GPU computing. With the two acquisitions, Storj is in a position to ...