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Physical AI systems must understand the real world before they can act within it. Robots, autonomous vehicles, and smart spaces need to understand what's... Physical AI systems must understand the real world before they can act within it. Robots, autonomous vehicles, and smart…
The AI era is driving a new class of infrastructure: AI factories that transform data into intelligence for autonomous AI agents operating at unprecedented... The AI era is driving a new class of infrastructure: AI factories that transform data into intelligence for autonomous…
Each wave of AI has created a new scaling law. Pretraining scaled intelligence through larger datasets, more parameters, and massively parallel GPU systems.... Each wave of AI has created a new scaling law. Pretraining scaled intelligence through larger datasets, more…
AI is now essential infrastructure, powered by AI factories that generate intelligence in the form of tokens. As demand grows, these factories must scale... AI is now essential infrastructure, powered by AI factories that generate intelligence in the form of tokens. As demand…
Chipmaker Groq is looking to raise $650 million in internal funding as it pivots from hardware to focus more on AI inference, the process of refining the way AI models respond to prompted requests, per Axios.
As AI models grow in complexity and regulatory scrutiny intensifies under frameworks including California’s AB-2013 and the EU AI Act, software teams... As AI models grow in complexity and regulatory scrutiny intensifies under frameworks including California’s AB-2013 and the…
AI applications are moving beyond text generation to multimodal systems that can perceive, search, and reason across images, documents, video, and... AI applications are moving beyond text generation to multimodal systems that can perceive, search, and reason across images…
The cold-start problem In production inference deployments, demand fluctuates over time, requiring inference replicas to scale elastically. However,... In production inference deployments, demand fluctuates over time, requiring inference replicas to scale elastically. However…
Snowflake has signed a new, enormous five-year deal with Amazon to secure chips for AI usage. Nvidia is once again being put on notice.
Large language models (LLMs) are revolutionizing the financial trading landscape by enabling sophisticated analysis of vast amounts of unstructured data to... Large language models (LLMs) are revolutionizing the financial trading landscape by enabling sophisticated analysis of…
Nvidia will invest $150 billion a year to make Taiwan an AI “epicenter.”
AKA: Jank Incarnate After months of pain, I finally got a working setup. There's a bunch of quirks about running a multi-Tesla setup. I was planning to write something about my experience after I get it running. Currently, the fans are plugged into the wall, speed is…
NVIDIA RTX provides game developers with direct paths to AI-driven characters, frame generation, and ray-traced rendering. This post walks through a meaningful... NVIDIA RTX provides game developers with direct paths to AI-driven characters, frame generation, and ray-traced…
Last month NVIDIA released [SOL-ExecBench](https://research.nvidia.com/benchmarks/sol-execbench), a new benchmark of 235 production CUDA kernels lifted from DeepSeek, Qwen, Gemma, and Kimi. We took several top-ranked AI-generated submissions and tried using them in production…
[Cuda 13.3 Downloads](https://developer.nvidia.com/cuda-downloads) [Release Notes](https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html) Anybody already tried llama.cpp with 13.3?
Developers can now use NVIDIA CUDA Tile programming within large existing C++ GPU codebases to develop highly optimized GPU kernels using tile-based... Source
NVIDIA CUDA 13.3 brings new capabilities and performance optimizations to developers across the CUDA ecosystem. The launch of NVIDIA CUDA Tile programming in... NVIDIA CUDA 13.3 brings new capabilities and performance optimizations to developers across the CUDA ecosystem. The…
NVIDIA CompileIQ tackles one of the hardest problems in performance engineering: finding the compiler options that unlock the best performance for a specific... NVIDIA CompileIQ tackles one of the hardest problems in performance engineering: finding the compiler options that…
Precision medicine depends on two fundamental capabilities: understanding disease at the genomic level and identifying treatments at the molecular level. ... Precision medicine depends on two fundamental capabilities: understanding disease at the genomic level and identifying…
Nvidia is changing its reporting to delineate between hyperscaler sales — where Nvidia is fighting commoditization — and everyone else, where Nvidia runs the whole stack.
Reddit discussion questioning NVIDIA's continued dominance for local LLM inference in 2026 amid emerging hardware alternatives.
NVIDIA removes gaming revenue category from financial reports; unclear strategic rationale.
cHunter789 releases Qwen-27B IQ4_KS quantization (14.1GB) optimized for 16GB NVIDIA GPUs via ik_llama.cpp.
The Information reported Anthropic is exploring use of Microsoft's second-generation Maia AI server chips as a way to expand compute capacity for Claude beyond its existing AWS and Google Cloud footprint. The talks are early and may not lead to a deal; Maia 200 was announced in…
As AI models grow in scale and complexity, realizing the full performance of modern accelerated infrastructure depends as much on how workloads are placed as on... As AI models grow in scale and complexity, realizing the full performance of modern accelerated infrastructure…
Telcos around the world are building sovereign AI factories based on the NVIDIA Cloud Partner (NCP) reference architecture, giving governments, enterprises, and... Telcos around the world are building sovereign AI factories based on the NVIDIA Cloud Partner (NCP) reference…
The next big thing for Nvidia will be CPUs for AI agents, $200 billion worth, CEO Jensen Huang predicts.
Nvidia announced another record revenue figure after market close on Wednesday, but forecasted that revenue growth would slow in the following quarter.
Midjourney reports TPU infrastructure choice delayed research by ~1 year; regrets not exclusive NVIDIA commitment.