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News
SkyRL Adopts FP8 for RL, Cuts Rollout Time by 23%
2+ hour, 27+ min 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
2+ hour, 35+ min 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
4+ hour, 13+ min 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
1+ day, 5+ 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
18+ hour, 3+ 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
23+ hour, 31+ min 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…...
delta-io/delta-rs python-v1.6.3 — release notes — brickster.ai
1+ day, 12+ hour ago (315+ words) Added support for dropping NOT NULL column constraints and custom token credentials in Unity Catalog, plus lazy snapshot materialization and replay capabilities. Fixed delete operations on string columns and OPTIMIZE failures on Spark-written tables; Change Data Feed now respects commit…...
Orchestrator — a purpose-built GPU OS for real-time inference
2+ day, 1+ hour ago (137+ words) Not a general-purpose scheduler — an operating system for inference fleets Models and latency budgets are the primitives. Compiled plowrt plans are placed across mixed NVIDIA and AMD fleets ahead of time, so at serve time the fleet has nothing left…...
Slackware-Based PorteuX 2.8 Released with Linux 7.2, COSMIC 1.6, and More
1+ day, 18+ hour ago (328+ words) PorteuX 2.8 has been released today as the latest snapshot of this Slackware-based distribution inspired by Slax and Porteus and designed to be super fast, small, portable, modular, and immutable. Coming two months after PorteuX 2.7, the PorteuX 2.8 release is powered by…...
Stop Comparing GPU Clouds Only by $/Hour
1+ day, 17+ hour ago (366+ words) Here is what the hourly rate hides, and what I actually compare instead. You do not buy GPU time to have GPU time. You buy it to train a model, serve inference, run a batch. The honest metric is cost…...