In collaboration with NVIDIA, researchers from SGLang have published early benchmarks of the GB200 (Grace Blackwell) NVL72 ...

A local court on Monday extended by 14 days the judicial custody of social media influencer Jyoti Malhotra, arrested on ...

A new technical paper titled “Hardware-Centric Analysis of DeepSeek’s Multi-Head Latent Attention” was published by researchers at KU Leuven. Abstract “Multi-Head Latent Attention (MLA), introduced in ...

DeepSeek-V3 represents a breakthrough in cost-effective AI development. It demonstrates how smart hardware-software co-design can deliver state-of-the-art performance without excessive costs. By ...

DeepSeek has announced a minor trial upgrade to its R1 artificial intelligence model, ... (MLA) and FP8 quantization, a low-precision numerical format that reduces memory needs.

DeepSeek, a Chinese artificial intelligence (AI) startup, has released their V3 and R1 series models, which attracted global attention due to their low cost, high performance, and open-source ...

While DeepSeek presents this version as a minor update of DeepSeek V3 on X, early comments, just a few hours after the launch, highlight real advances, especially in mathematics and programming.

DeepSeek AI has kicked off an open-source initiative by releasing FlashMLA, an efficient MLA decoding kernel optimized for NVIDIA Hopper GPUs and variable-length sequences.

DeepSeek releases DeepSeek-V3-0324, a powerful AI model with MoE architecture, ... Multi-Head Latent Attention (MLA): This improves how the model maintains context in long texts.

DeepSeek's free 685B-parameter AI model runs at 20 tokens/second on Apple's Mac Studio, outperforming Claude Sonnet while using just 200 watts, ... (MLA) and Multi-Token Prediction (MTP).