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PyTorch, TensorFlow, JAX, datasets, and accelerator workflows.

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dev.to > ntctech > google-tpu-rationing-is-not-a-supply-story-its-an-authority-story-4io9

Google TPU Rationing Is Not a Supply Story. It's an Authority Story.

14+ hour, 20+ min ago   (238+ words) TPU rationing at Google is not primarily a story about running out of chips. It's a story about... Tagged with ai, machinelearning, infrastructure, cloud....


dev.to > tamizuddin > neural-hijacking-decoding-dlss5-autopilots-runtime-injection-strategy-for-legacy-game-support-2lnc

Neural Hijacking: Decoding DLSS5-Autopilot's Runtime Injection Strategy for Legacy Game Support

20+ hour, 21+ min ago   (402+ words) DLSS5-Autopilot circumvents this by operating at the OS Driver Boundary. It does not ask the game engine to be kind; it forces the GPU to render differently after the engine has issued its commands. The architecture is split into three…...


dev.to > semihozdmirr > modern-glsl-shader-development-in-zed-vs-code-zero-setup-real-time-diagnostics-59di

Modern GLSL Shader Development in Zed & VS Code: Zero Setup, Real-Time Diagnostics

1+ day, 4+ hour ago   (171+ words) Writing GLSL shaders often feels like stepping ten years back in time compared to modern web or... Tagged with gamedev, shader, glsl, vulkan....


dev.to > xanpavle > amd-local-llm-setup-on-windowslinux-rocm-overrides-vulkan-vs-hip-benchmarking-15p2

AMD Local LLM Setup on Windows/Linux: ROCm Overrides & Vulkan vs. HIP Benchmarking

1+ day, 4+ hour ago   (117+ words) The Problem with Local AI on AMD Hardware Running models locally with tools like Ollama or LM Studio on AMD GPUs often leads to two roadblocks: Uncertainty over whether to run Vulkan backends or ROCm/HIP backends for maximum tokens…...


dev.to > gde > gemma-4-on-a-tesla-t4-qat-weights-decode-179x-faster-than-bf16-2fi4

Gemma 4 on a Tesla T4: QAT Weights Decode 1.79x Faster Than bf16

2+ day, 4+ hour ago   (1298+ words) The GPU is already there. A T4 attached to a Compute Engine VM needs no queued resource, no instance launch and no image, so this rig has no provisioning tools at all. Everything it ships is about the software on the…...


dev.to > gde > serving-gemma-4-on-an-amd-mi300x-what-199-an-hour-buys-52h9

Serving Gemma 4 on an AMD MI300X: What $1.99 an Hour Buys

3+ day, 4+ hour ago   (1104+ words) The card is a DigitalOcean GPU droplet reached through AMD Developer Cloud (devcloud.amd.com) — same v2 API, same droplet ids, token from the My AMD Team account. Creating and destroying it are console actions, deliberately: both are dollar-per-hour decisions and…...


marktechpost.com > 09/17/2026 > microsoft-open-sources-taugrid-a-kubernetes-native-stack-for-gpu-ai-workloads

Microsoft Open-Sources TauGrid: A Kubernetes-Native Stack for GPU AI Workloads

3+ day, 5+ hour ago   (322+ words) Platform teams running AI on Kubernetes rarely run one thing. They run a queueing system, a distributed runtime, GPU node health checks, dashboards, and a layer of submission scripts holding all of it together. The Azure Kubernetes Service engineering team…...


i-programmer.info-programmer.info

NVidia Introduces CUDA GPU Programming In Rust

3+ day, 8+ hour ago   (27+ words) Programming book reviews, programming tutorials,programming news, C#, Ruby, Python,C, C++, PHP, Visual Basic, Computer book reviews, computer history, programming history, joomla, theory, spreadsheets and more....


medium.com > @ragazzosamuele7 > from-zero-to-backprop-building-a-neural-network-framework-in-c-150677a84112

From Zero to Backprop: Building a Neural Network Framework in C++

3+ day, 8+ hour ago   (1315+ words) Driven by my curiosity to understand what happens under the hood of machine learning frameworks, I spent my summer before university …...