Tech Times on MSN
AMD Ryzen AI Embedded X100 Puts Strix Halo APU Into Robots With 128 GB Unified Memory
AMD Ryzen AI Embedded X100 processors bring Strix Halo APU silicon to industrial robots with up to 128 GB of unified memory, ...
Chip maker AMD lost a whole lot of credibility when it walked away from the datacenter a decade and a half ago, which was ...
Tech Times on MSN
NVIDIA Molt open-sources agentic RL training that scales to trillion-parameter models
NVIDIA Molt agentic RL framework, open-sourced July 22, 2026, delivers a PyTorch-native training stack of roughly 8,600 lines ...
Google LiteRT.js, released July 9, 2026, brings native browser AI inference to web developers by compiling Google's proven C++ runtime to WebAssembly — delivering up to 3× faster performance than ...
I’ve received one of AMD’s first official AI developer boxes for testing, and it’s an impressive piece of AI hardware with a super-simple setup.
from sglang.srt.layers.quantization.fp8_kernel import is_fp8_fnuz, scaled_fp8_quant from sglang.srt.layers.quantization.fp8_utils import normalize_e4m3fn_to_e4m3fnuz from ...
from sglang.srt.layers.moe.moe_runner.flashinfer_trtllm import ( from sglang.srt.layers.quantization.fp8_kernel import is_fp8_fnuz, scaled_fp8_quant from sglang.srt.layers.quantization.fp8_utils ...
While Google’s next Tensor chipset in the Pixel 11 series isn’t expecting to be a gamechanger by any means, it sounds like it will be right on the bleeding edge, as a new report claims Tensor G6 will ...
I’ve been covering Android since 2023, when I joined Android Police, mostly focusing on AI and everything around Pixel and Galaxy phones. I’ve got a bachelor’s in IT with a major in AI, so I naturally ...
Multiverse Computing Unveils Breakthrough: All CompactifAI Models Now Run on Intel Xeon 6 Processors
Multiverse Computing, a leader in AI model compression, today announced that its CompactifAI ®-compressed version of the ...
Abstract: DeepTensor is a computationally efficient framework for low-rank decomposition of matrices and tensors using deep generative networks. We decompose a tensor as the product of low-rank tensor ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results