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#GPU

All articles tagged with GPU

#GPU

Getting Started with GPU Slicing for AI Workloads

Learn how to maximize your AI inference performance with GPU slicing technology on CoolVDS.

WebGPU & Browser-Based AI: The Infrastructure Shift You Missed

Stop burning cash on H100 clusters. The future of AI inference is running locally in the user's browser via WebGPU. Learn the Nginx optimization secrets required to deliver gigabyte-scale models instantly, ensuring GDPR compliance and zero-latency UX.

Breaking the CUDA Monopoly: A pragmatic guide to AMD ROCm 6.1 Deployment in Norway

NVIDIA hardware is expensive and scarce. This guide details how to deploy AMD ROCm 6.1 for high-performance ML workloads, covering kernel configuration, Docker passthrough, and the critical NVMe I/O requirements often ignored by cloud providers.

Crushing Token Latency: High-Throughput Llama 2 Serving with vLLM in Norway

Stop wasting GPU memory on fragmentation. Learn how to deploy vLLM with PagedAttention for 24x higher throughput, keep your data compliant with Norwegian GDPR, and optimize your inference stack on CoolVDS.

NVIDIA H100 & The Nordic Advantage: Why Your AI Training Cluster Belongs in Oslo

The H100 Hopper architecture changes the economics of LLM training, but raw compute is worthless without IOPS to feed it. We dissect the H100's FP8 capabilities, PyTorch 2.0 integration, and why Norway's power grid is the secret weapon for AI ROI.

NVIDIA T4 & Turing Architecture: Optimizing AI Inference Workloads in 2019

Stop burning budget on V100s for simple inference. We benchmark the new NVIDIA T4 against the Pascal generation and show you how to deploy mixed-precision models on Ubuntu 18.04 using nvidia-docker2.