All articles tagged with PyTorch
Your expensive GPUs are idling because your system memory can't keep up. We dissect the specific kernel parameters, NUMA topologies, and PyTorch configurations required to saturate DDR5 bandwidth on modern Linux servers.
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.
With NVIDIA H100 shortages squeezing European startups, smart CTOs are looking at AMD's Instinct roadmap. Here is a technical deep-dive on running PyTorch on ROCm, KVM GPU passthrough, and why Norway is the best place to host power-hungry AI workloads in 2023.
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.
ChatGPT is powerful, but is it GDPR compliant? Learn how to deploy your own open-source Large Language Model (GPT-J) on CoolVDS infrastructure using PyTorch and Hugging Face. Keep your data in Norway.
Forget the cloud API trap. Learn how to deploy GDPR-compliant BERT pipelines on high-performance local infrastructure using PyTorch and efficient CPU inference strategies.
OpenAI's GPT-3 API is changing the industry, but GDPR and Schrems II make it a legal minefield for Nordic businesses. We explore self-hosting viable alternatives like DistilBERT and GPT-2 on high-performance NVMe VPS infrastructure.
Stop wrapping Flask around your models. Learn how to deploy PyTorch 1.5 with TorchServe, optimize for CPU inference on NVMe VPS, and navigate the data sovereignty minefield just created by the ECJ.
Stop letting Python's GIL kill your production latency. We explore how to bridge PyTorch 1.0 and production environments using the new ONNX Runtime, ensuring sub-millisecond responses on dedicated Norwegian infrastructure.