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Implementation of Machine Learning Workflows with NVIDIA cuML, RAPIDS, GPU Benchmarking, Explainability, Clustering, and Model Inference
12+ hour, 49+ min ago (198+ words) We benchmark scikit-learn and cuML implementations of PCA, K-Means, nearest neighbors, logistic regression, random forests, and DBSCAN. We generate datasets on the GPU, synchronize CUDA operations for fair timing, and record the speedup each accelerated algorithm achieves. We also compare…...
Rendering live broadcast graphics without a GPU, and what four hours actually cost
1+ day, 2+ hour ago (683+ words) Short recap, because this is the second half of a story. In the previous article I described how our... Tagged with devops, architecture, performance, programming....
ROCm vs Vulkan for AMD Local LLM Hosting: 2026 Guide
1+ day, 2+ hour ago (1662+ words) ROCm and Vulkan both accelerate AMD GPUs for local LLM hosting, but they are not interchangeable. The right choice depends on the engine, GPU, and workload. In local LLM hosting the two backends sit at different layers. ROCm is AMD's…...
Prominent Mesa Developer Now Working For Arm On PanVK & Panfrost Code
2+ day, 1+ hour ago (207+ words) Erik Faye-Lund who has contributed to the Mesa 3D graphics driver stack working on areas like Zink and most notably the PanVK Vulkan and Panfrost Gallium3D drivers forr Arm Mali hardware is now working directly for Arm... - Categories Computers Display Drivers Graphics…...
CIQ Moves RLC Pro AI to Linux 6.18 to Improve AI Infrastructure Performance
2+ day, 11+ hour ago (543+ words) RENO, Nev., Sept. 10, 2026 — CIQ, the founding support and services partner of Rocky Linux, today moved RLC Pro AI to Linux 6.18, the latest long-term kernel. Enterprises get the latest kernel features with a vendor standing behind them, and the same tuned…...
AI Fixes Linux Bottlenecks Using “Hideous” Code » Linux Magazine
2+ day, 18+ hour ago (555+ words) In that same email, Stoakes stated that he used an LLM to determine where the bottlenecks were and how to improve them. He then said that the LLM generated a lot of code, "much of it hideous." "The patches work…...
Gemma 4 on an Old 4 GB Laptop GPU: QAT Takes It From 9.5 GiB to 1.6
2+ day, 19+ hour ago (1449+ words) This article provides a step by step deployment guide for Gemma 4 E2B's quantization-aware-trained (QAT) checkpoint to a local, laptop hosted GPU enabled system — a much older Lenovo Yoga 9 with a 4 GB GTX 1650 Ti. A suite of Python MCP tools is…...
2B Gemma 4 Deployment with Cloud Run, NVIDIA L4, MCP SDK 2.x, and Claude Code
2+ day, 19+ hour ago (1508+ words) This article provides a step by step deployment guide for Gemma 4 E2B to a Cloud Run hosted GPU enabled system. A suite of Python MCP tools is built to simplify management of the vLLM hosted deployment with Claude Code. This project…...
dspark
3+ day, 6+ hour ago (47+ words) vLLM CPU DeepSeek-V4 DSpark (speculative decoding) — deferred, not implemented. DSparkDeepseekV4ForCausalLM is only instantiated when the speculative- decoding registry resolves it by name for a DSpark speculative config; a plain (non-spec) DeepSeek-V4 CPU model never constructs this class. This stub exists solely…...
Deploying Qwen3.8-2.4T-A95B on Amazon SageMaker HyperPod with vLLM
3+ day, 5+ hour ago (323+ words) Deploying a 2.4-trillion-parameter MoE model requires a careful balance of memory bandwidth, inter-node interconnect speed, and tensor parallel layout. To fit the 2.4T parameter checkpoint into a manageable GPU cluster footprint, we utilize NVFP4 (NVIDIA 4-bit Floating Point format), supported natively on…...