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WebAMD DevMaster Hackathon Showcases AI Innovation on Radeon GPUs
5+ hour, 54+ min ago (297+ words) blockchain.news AMD DevMaster Hackathon Showcases AI Innovation on Radeon GPUs Jessie A Ellis Aug 26, 2026 19:43 AMD's DevMaster Hackathon highlights practical AI applications in Multimodal, Agentic, and Physical AI using Radeon GPUs and ROCm software. Nearly 3,900 developers from around the world…...
Meta Releases Muse Glimmer, an Open-Weight AI Model Designed to Run on Consumer Hardware -
7+ hour, 20+ min ago (560+ words) Meta is returning to open-weight artificial intelligence with Muse Glimmer, a new AI model designed to run on consumer hardware, as CEO Mark Zuckerberg argues that increasingly capable AI should be widely available rather than controlled by a small number…...
Patches Provide For Much Faster In-Kernel Zstd Due To Embarrassingly Bad Inefficiency
9+ hour, 37+ min ago (200+ words) Patches sent out to the Linux kernel mailing list today can provide much more efficient Zstd compression and decompression by addressing a very unfortunate oversight in the existing code... - Categories Computers Display Drivers Graphics Cards Linux Gaming Memory Motherboards Processors…...
CUDA Python 1.0: Stable APIs, One Foundation, Full Platform Access — Tech Spindle
1+ day, 7+ hour ago (204+ words) Why Impact & Innovation? We ask two questions of every story: did this actually change something in the real world (Impact), and is the idea genuinely new (Innovation)? Together, that's the TS Score — not engagement, not who posted it, just what…...
SkyRL Adopts FP8 for RL, Cuts Rollout Time by 23%
1+ day, 8+ hour ago (209+ words) Peter Zhang Aug 25, 2026 18:18 SkyRL's FP8 reinforcement learning stack matches BF16 convergence while reducing rollout step time by up to 23%, boosting efficiency on NVIDIA GPUs. These optimizations are particularly impactful for LLM reinforcement learning, where memory bottlenecks often limit performance. For example, SkyRL’s…...
NVIDIA CUDA Python 1.0 Launch Brings Stability to GPU Devs
1+ day, 8+ hour ago (193+ words) James Ding Aug 25, 2026 17:28 NVIDIA CUDA Python 1.0 introduces stable APIs, unifying GPU programming for Python developers and simplifying access to CUDA's full power. CUDA Python 1.0 is not a single product but a collection of libraries and tools designed to integrate seamlessly…...
Perplexity Ships Portable Computer on NVIDIA DGX Spark: Local Harness, OS-Enforced Sandbox, and Zero Per-Token Cost for Local Steps
1+ day, 10+ hour ago (352+ words) Yes, with a hard hardware gate. This is shipping software, not a preview binary, but it needs a GB10-class box or an RTX GPU with 24 GB of VRAM under the desk. Code and tool calls execute inside an OS-enforced sandbox…...
CUDA Python 1.0: Stable APIs, One Foundation, Full Platform Access
2+ day, 11+ hour ago (1398+ words) For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and maintain bindings back to Python, which most people never did; or…...
MiniMax H3 VRAM requirements and real render times, consolidated from 20 threads
2+ day, 11+ min ago (554+ words) Every H3 thread has the same two questions in the comments: will it run on my card, and how long does it take. The answers are scattered across twenty threads and they contradict each other, so I pulled the numbers into…...
Cloudera and NVIDIA bring GPU acceleration to Apache Spark
2+ day, 5+ hour ago (238+ words) GPU acceleration for Apache Spark in Cloudera Data Engineering is designed to reduce processing time and cloud infrastructure costs without requiring changes to PySpark or SQL code As organizations expand AI initiatives, data preparation can affect the time required to…...