Hyperscale data centers are now powering AI models with a revolutionary architecture—at a staggering energy cost.

2025-12-9: Added the LVLLM_MOE_USE_WEIGHT environment variable to support MOE modules using two modes to infer fp8 models LVLLM_MOE_USE_WEIGHT="KEEP": lk_moe inference uses the original weight format ...

Abstract: In this paper, a method for solving the matrix equation of the method of moments based on GPU parallel accelerated block LU decomposition is proposed. The proposed method is implemented ...

Abstract: This article consists of a collection of slides from the author's conference presentation on NVIDIA's CUDA programming model (parallel computing platform and application programming ...

Explore Render Network's transformative year in 2025, marked by groundbreaking initiatives in decentralized GPU computing, AI integration, and global creative collaborations. 2025 was a pivotal year ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...

If you’ve been holding off on a graphics card purchase, hoping for better deals, recent reports suggest that GPU prices might soon climb significantly. As reported by Korean Tech outlet, Newsis, ...

LightX2V is an advanced lightweight video generation inference framework engineered to deliver efficient, high-performance video synthesis solutions. This unified platform integrates multiple state-of ...

The LightGen chip is orders of magnitude more efficient too. But it isn't ready to break out of the lab just yet. As generative AI models grow more powerful, their energy use is becoming a serious ...

Chinese scientists have allegedly developed a series of new photonic (light-based) microchips that could outperform NVIDIA’s leading artificial intelligence (AI) graphics processing units (GPUs) by ...