Efficient Multi-GPU Shared Memory via Automatic Optimization of Fine-Grained Transfers System enabling remote memory transfers with the programmability and pipeline advantages of peer-to-peer stores, ...

NVIDIA has announced the Rubin CPX, a purpose-built GPU for 'disaggregated inference' that targets massive AI workloads, ...

Recently, Guangzhou Pinnacle Software Co., Ltd. applied for a patent titled "A Method and System for Optimizing PD Separation of Large Models Based on GPU Virtualization," which is set to be published ...

Founded in 2024, Atero specializes in boosting GPU utilization for AI applications and will become Crusoe's gateway to Middle East talent and customers ...

Nvidia Corp. today disclosed that it has acquired Run:ai, a startup with software for optimizing the performance of graphics card clusters. The terms of the deal were not disclosed. TechCrunch ...

This phase involves refining the code to fully exploit the nuances of the target GPU architecture. Key areas of focus include: Cache optimization: Developers optimize memory access patterns to ...

Embodied intelligence applications, such as autonomous robotics and smart transportation systems, require efficient coordination of multiple agents in dynamic environments. A critical challenge in ...

Memory Coalescing: An optimisation strategy in parallel computing ensuring that memory accesses are aligned and grouped together, which minimises latency and maximises throughput on GPU architectures.

AMD's new 'Real-Time GPU Tree Generation' shifts the procedural creation and rendering of trees in a 3D environment to the GPU with impressive results.

AMD reveals its new MCM-based Instinct MI200: packs 'Aldebaran' MCM GPU, 128GB HBM2e memory, and destroys NVIDIA's offerings.