Alembic melted GPUs chasing causal A.I. — now it's running one of the fastest supercomputers in the world

Alembic raises $145M to scale causal AI and build one of the world’s fastest private supercomputers, challenging ChatGPT with ...

Baidu just dropped an open-source multimodal AI that it claims beats GPT-5 and Gemini

Baidu unveils a powerful open-source AI model that rivals Google and OpenAI in visual reasoning, multimodal analysis, and enterprise efficiency using just a fraction of computing power.

Spectral Compute raises $6M to fix CUDA and eliminate the ‘Nvidia tax’ on AI applications

A small British software startup called Spectral Compute Ltd. believes it has what it takes to break Nvidia Corp.’s ...
GitHub

RLSolver: High-performance GPU-based Solvers for Nonconvex and NP-Complete Problems

We aim to showcase that reinforcement learning (RL) or machine learning (ML) with GPUs delivers the best benchmark performance for large-scale nonconvex and NP-complete problems. RL with the help of ...
IEEE

Using SYCLomatic to Migrate CUDA Code to oneAPI Adapting NVIDIA GPU

Abstract: Nowadays, the use of accelerators in high performance computing has become more common than ever before. The most used accelerators must be the Graphics Processing Unit (GPU). It has emerged ...
GitHub

训练Qwen/Qwen3-Coder-30B-A3B-Instruct，只有一个GPU在工作

CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 \ swift sft \ --model /root/.cache/huggingface/hub/models--Qwen--Qwen3-Coder-30B-A3B-Instruct/snapshots ...
IEEE

An Automated Tool for Analysis and Tuning of GPU-Accelerated Code in HPC Applications

Abstract: The US Department of Energy’s fastest supercomputers and forthcoming exascale systems employ Graphics Processing Units (GPUs) to increase the computational performance of compute nodes.