334 summarised stories about NVIDIA, each linking back to the original source. Browse all topics →
The Verge 1 month ago 18 ● 4 sources
Nvidia said its DLSS 5 AI rendering that was initially planned for this evening on only one game and only RTX 50 GPUs will also be brought to older RTX 40-series GPUs. Nvidia confirmed the RTX 40-series expansion in a spokesperson statement to The Verge. As a result, DLSS 5 support widens beyond RTX 50, while gamers still won’t get full control over how it’s used.
BBC News 1 month ago 41 ● 16 sources
Nvidia agreed to buy AI platform Hugging Face in a bid to expand from AI chips into software. The deal is valued at about $12.9bn (£9.5bn). Nvidia will pay about $11.9bn to Hugging Face investors and offer up to $1bn in stock incentives, while saying Hugging Face will remain open and not force users onto Nvidia chips or services.
NVIDIA Blog 1 month ago 33 ● 7 sources
NVIDIA, Microsoft, and partners announced tools and devices at IFA 2026 to make running local AI agents faster and easier on NVIDIA hardware. Local inference throughput is claimed to be up to 1.9x higher on a GeForce RTX 5090 via updated llama.cpp optimizations. The update adds simplified local setup apps, a personal AI router that parallelizes workloads across idle PCs, and new RTX Spark Windows PCs launching in October 2026.
NVIDIA Blog 1 month ago 21 ● 4 sources
GeForce NOW announced 26 additional games streaming in September, led by NBA 2K27 adding NVIDIA DLSS 5 3D-Guided Neural Rendering. DLSS 5 is available when streaming from a GeForce RTX 5080-powered cloud rig. Ultimate members can stream NBA 2K27 and other newly added titles without downloading them, with RTX 5080-class performance used for the DLSS 5 upgrade.
TechCrunch 1 month ago 15 ● 16 sources
Nvidia confirmed it will acquire Hugging Face after weeks of rumors. Nvidia will pay $12.93 billion for the platform. Nvidia said Hugging Face will keep supporting open-source/open-weight models while expanding developer access, and Nvidia compute will not be required to use or deploy through Hugging Face.
The Verge 1 month ago 24 ● 7 sources
Nvidia launched Personal AI Router (PAIR), an open-source software tool that links compatible home PCs for running local AI inference with setups like Ollama and LM Studio. It supports Nvidia GeForce RTX 20-series GPUs and newer (plus RTX Pro GPUs and DGX Spark systems). Users can now pool their idle machines into a single personal “AI data center” for agentic workflows without adding hardware.
The Verge 1 month ago 10 ● 7 sources
Nvidia will ship RTX Spark laptops using its Arm-based N1X chip in two configurations starting in October. The top configuration includes a 6144-core Blackwell RTX GPU, paired with a 20-core Grace CPU and 24GB to 128GB of unified memory. This adds an RTX Spark N1X option for both high-end laptops and small-form-factor PCs, while the N1 chip is not arriving this year.
NVIDIA Blog 1 month ago 42 ● 16 sources
NVIDIA agreed to acquire Hugging Face. The deal price is $12,930,300,000. Hugging Face will remain an open platform supporting multi-cloud and open-weight models, with no required NVIDIA compute to use or deploy on it.
The Verge 1 month ago 11 ● 16 sources
Nvidia agreed to buy Hugging Face, bringing the open-source model and dataset hosting platform under the ownership of the AI chipmaker. The deal price is $12.93 billion. Hugging Face will shift from independent ownership to being part of Nvidia, changing its platform ownership and likely its investment priorities for AI tooling and hosting infrastructure.
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16 October 2026
The biggest throughline today: AI is moving observability from “find problems faster” to “handle them safely,” with enterprise IT heading toward autonomous, governed workflows. LogicMonitor’s Elevate event made the case that the next step isn’t another dashboard—it’s context-rich monitoring that plugs directly into incident management and change control, so actions come with guardrails. The company leaned on integrations with OpenTelemetry and common ticketing/ops systems to stitch telemetry into the operational chain, turning raw signals into decisions.
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