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Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
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AI1 min read
Nvidia Inception's Les Karpas discusses why robotics lacks the breakthrough of ChatGPT. He explains data gaps and upcoming sessions on the Real World AI Stage.
From TechCrunch AI
AI1 min read
AI isn't some kind of new form of "alien mind," according to Jensen Huang. It's just hardware and software, so safety can be engineered by each AI product maker.
From TechCrunch AI
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
AI1 min read
Learn how to leverage NVIDIA’s cuDNN Frontend Graph API to build custom kernel fusions, autotuning engine configurations, FP8-style epilogues, scaled dot-product attention, dynamic shapes, and CUDA graph captures. This practical tutorial...
From MarkTechPost
LLMs1 min read
Power is a defining constraint for AI factories. As AI workloads demand a full compute platform to serve them, each component of that platform must maximize...
From NVIDIA technical blog
LLMs1 min read
For operators of large-scale AI factories, maximizing continuous output is essential for productivity. In massive-scale AI training, every GPU in the cluster...
From NVIDIA technical blog
AI1 min read
Salesforce Koa is built on Nvidia's open-weight Nemotron model and is trained to do sales, marketing, and customer-support tasks.
From TechCrunch AI
LLMs1 min read
Federated learning (FL) projects often begin with a straightforward setup: one server, a few clients, and one dataset at each site. As those projects grow, the...
From NVIDIA technical blog
AI1 min read
Jensen Huang engaged in a conversation with President Trump at the All-In conference, discussing AI safety while demonstrating a new, unreleased foldable phone from Apple. This event highlighted Nvidia’s reliance on AI labs and Apple’s renewed interest in its hardware.
From TechCrunch AI
AI1 min read
Jensen Huang publicly stated Nvidia will not halt AI development following a phone call with President Trump, who expressed concerns about slowing AI progress and potential external pressures. The conversation highlighted broader public sentiment regarding data center construction and AI capabilities.
From TechCrunch AI
LLMs1 min read
The NVIDIA Transformer Engine, when combined with JAX, delivers a 10.4x throughput improvement for Mixture of Experts training on NVIDIA GB200 GPUs, enabling DeepSeek-V3 to reach 1,068 TFLOPS/GPU. This achieves dropless MoE training by optimizing grouped GEMM kernels and NCCL EP for variable expert token counts.
From NVIDIA technical blog
AI1 min read
OSMO is an open-source Kubernetes orchestrator that allows engineers to manage AI training, simulation, and robot testing across diverse compute environments – from data center GPUs to edge devices – defined by a single YAML file. This simplifies pipeline management and reduces infrastructure complexity.
From MarkTechPost
AI1 min read
This tutorial demonstrates GPU acceleration of machine learning workflows using NVIDIA cuML and RAPIDS, showcasing performance benchmarks for common tasks like PCA, K-Means, and model inference. The process includes configuring the GPU environment, benchmarking CPU and GPU implementations, and exploring zero-copy data transfer for optimized execution.
From MarkTechPost
AI1 min read
Jensen Huang stated Nvidia anticipates 70% revenue growth next year, citing its foundational role in the AI ecosystem and significant orders for its Blackwell and Grace systems. This projection reflects Nvidia’s embedded presence across diverse AI workloads and its strategic partnerships.
From TechCrunch AI
LLMs1 min read
NVIDIA is monitoring its supply chain performance from wafer-out to the generation of the first token. This initiative utilizes Nemotron and Palantir Foundry to codify supply chain expertise and improve operational efficiency.
From NVIDIA technical blog
LLMs1 min read
NVIDIA’s BioNeMo Inference Runtime accelerates biomolecular structure prediction at scale, allowing for efficient processing of large proteome workflows. This enables faster insights from complex biological data.
From NVIDIA technical blog
LLMs1 min read
NVIDIA CUDA Toolkit 13.4 introduces support for Windows on Arm, alongside enhanced control over shared GPUs. This update provides developers with expanded platform options and improved GPU management capabilities.
From NVIDIA technical blog
Agents1 min read
This benchmark compares the performance of Qwen3-Coder-30B and NVIDIA Nemotron-3-Nano-30B across G5, G6, G6e, and G7 GPU instances on SageMaker AI. G7 instances demonstrate price-performance gains for real-time LLM inference.
From AWS machine learning blog
LLMs1 min read
NVIDIA introduces CUDA Rust, offering two tracks for writing GPU kernels. This expansion aims to make GPU programming accessible to Rust developers.
From NVIDIA technical blog
LLMs1 min read
Alibaba released the model weights for Qwen3.8-Flash-Next, allowing developers to experiment with and evaluate this preview of the upcoming Qwen4 architecture.
From NVIDIA technical blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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