Cloud GPUs (Graphics Processing Units) | Google Cloud
Increase the speed of your most complex compute-intensive jobs by provisioning Compute Engine instances with cutting-edge GPUs.
(ROCm) AMD-GPU-Boost: Unlock Full Performance on Consumer AMD GPUs
Points: 8 | Comments: 4 | Author: painter3000
GPUSPH/gpusph
The world's first CUDA implementation of Weakly-Compressible Smoothed Particle Hydrodynamics (⭐ 185)
Intel Arc - Wikipedia
units (GPUs) developed by Intel, representing the company's line of discrete GPUs for gaming, content creation, and professional applications. Arc GPUs are
Story of Two GPUs: Characterizing the Resilience of Hopper H100 and Ampere A100 GPUs
This study characterizes GPU resilience in Delta, a large-scale AI system that consists of 1,056 A100 and H100 GPUs, with over 1,300 petaflops of peak throughput. We used 2.5 years of operational data (11.7 million GPU hours) on GPU errors. Our major...
GPU First -- Execution of Legacy CPU Codes on GPUs
Utilizing GPUs is critical for high performance on heterogeneous systems. However, leveraging the full potential of GPUs for accelerating legacy CPU applications can be a challenging task for developers. The porting process requires identifying code...
Accelerating High-Order Stencils on GPUs
Stencil computations are widely used in HPC applications. Today, many HPC platforms use GPUs as accelerators. As a result, understanding how to perform stencil computations fast on GPUs is important. While implementation strategies for low-order sten...
Development of Krylov and AMG linear solvers for large-scale sparse matrices on GPUs
This research introduce our work on developing Krylov subspace and AMG solvers on NVIDIA GPUs. As SpMV is a crucial part for these iterative methods, SpMV algorithms for single GPU and multiple GPUs are implemented. A HEC matrix format and a communic...
Pegatron preps 1,177 PFLOP AI rack with 128 AMD MI350X GPUs | Tom's Hardware
Liquid cooled, of course.
Characterizing and Understanding HGNNs on GPUs
Heterogeneous graph neural networks (HGNNs) deliver powerful capacity in heterogeneous graph representation learning. The execution of HGNNs is usually accelerated by GPUs. Therefore, characterizing and understanding the execution pattern of HGNNs on...
$GPUS: Insiders Know Something? High Squeeze Fuel, Meme Crowd Incoming ?
As of early January 2026, Hyperscale Data, Inc. (GPUS) is seeing a massive surge in retail interest. The stock has recently become a focal point for traders looking for the next "squeeze" play, driven...
AliyunContainerService/gpushare-device-plugin
GPU Sharing Device Plugin for Kubernetes Cluster (⭐ 492)
GPUs | Video Graphics Cards | Micro Center
GPUs (graphics processing units), or Graphics Cards, enable computers to better perform graphics-based tasks, which includes everything from video rendering to playing graphically-intensive games.
GPUS
My very 1st DD Not financial advice: You can check my past reddit comments on different stock forms example nvda: If you made money last year during the downturn of nvda when it was less than 125$ a...
GPU mining - Wikipedia
miners increased their purchases of GPUs between 2013 and 2017, the prices of GPUs skyrocketed. The increasing demand of GPU mining and purchases caused a worldwide
Best Gaming Graphics Cards for 2025 | GPUs.gg US
Compare the best GPUs for gaming, streaming, editing, rendering, and more! Find top AMD, Intel, and Nvidia graphics cards with performance metrics, GPU specs, and buying tips to choose the right …
AliyunContainerService/gpushare-scheduler-extender
GPU Sharing Scheduler for Kubernetes Cluster (⭐ 1529)
chengkehan/GPUSkinning
No description (⭐ 1053)
Quokka: A code for two-moment AMR radiation hydrodynamics on GPUs
We present Quokka, a new subcycling-in-time, block-structured adaptive mesh refinement (AMR) radiation hydrodynamics code optimised for graphics processing units (GPUs). Quokka solves the equations of hydrodynamics with the piecewise parabolic method...
wookayin/gpustat
? A simple command-line utility for querying and monitoring GPU status (⭐ 4346)