GPU is a ticker tracked in our intelligence system with 5 linked articles.
The article explains how shaders compute per-pixel colors using only x,y coordinates by walking through the GPU pipeline, shader types (vertex/fragment), uniforms/varyings, and lighting, while also outlining the related APIs and compute options.
RTX 5080 and RTX 3090 reportedly achieve 80 Tok/s on Qwen 3.6 27B Q8, according to a Hacker News discussion.
NVIDIA markets the RTX Spark as a single-chip AI/graphics platform for Windows laptops and compact desktops, backed by substantial specs and OEM partnerships.
The article probes floor/ceil behavior for denormal numbers across CPU and GPU, reveals platform-dependent results, cites a DirectX spec demanding denormal flushing, and offers a deterministic HLSL workaround plus notes on MXCSR controls and performance implications.
Cedana (YC S23) is hiring a Forward Deployed Engineer (AI+HPC) in the US with $140k-$180k base, 0.10%-0.25% equity, remote work, and ~25% travel; role involves SLURM/Kubernetes deployments and GPU workload migration at enterprise-scale.
Kog claims real-time LLM inference on standard datacenter GPUs can reach about 3,000 tokens/s per request on a 2B model by co-designing a monokernel runtime, GPU code, and a Laneformer architecture, with scalability toward frontier MoEs as memory bandwidth grows.
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