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People are discussing Nvidia’s latest AI/platform moves—Windows 11 “unified memory” support for RTX Spark PCs, major AI hardware pricing/availability chatter (including near-$100k DGX Station listings), and potential DLSS 4.5 features via leaks. Alongside this, there’s attention on Nvidia-related legal/export issues and business strategy (including a reported SpaceX stake).
Tracking: SpaceXAI Adopts NVIDIA Vera CPUs for Grok, With a Vera Rubin NVL72 Bound for Orbit in Starmind / NVIDIA Groq 3 LPX Enters Full Production: 3,400 Tokens per Second at 100K Context, 256 LP30s per Rack
Tracking: NVIDIA Vera Rubin Records A Massive 30x Increase In Throughput Per Watt Than Blackwell While Offering a 35x Token Cost Reduction Across Agentic AI Workloads / SpaceXAI Will Use NVIDIA Vera CPUs To Power Its Next-Gen Agentic AI Workloads, Also Bringing Vera Rubin Acceleration To Grok & Starmind AI Satellite
Tracking: Nine indicted by Taiwan over illegal export of Nvidia B300 GPUs to China — details reveal five-point strategy to exploit and avoid customs controls / Nvidia reportedly warns biggest customers of 15% price hikes on AI servers — memory costs continue to soar
Tracking: NVIDIA Power Limit Bypass: RTX 5090 OC Hits 700 W, RTX 5080 Up To 680 W. No Shunt Mod Needed / Gamers Test NVIDIA's Unreleased DLSS 4.5 Ray Reconstruction After Leak
Tracking: What Nvidia's first Groq 3 LPU benchmarks tell us about its $20B gamble / Cloverleaf deal is latest example of Nvidia using its war chest to patch cracks in the AI bubble
Common questions on NVIDIA, surfaced from across the indexed web.
How does NVIDIA DSX MaxLPS dynamic power allocation work?
NVIDIA DSX MaxLPS replaces static power provisioning with dynamic power allocation, using Dynamic Power Software (DPS) (currently in Developer Preview) to monitor and optimize power utilization within the data center’s fixed power budget. DPS is a comprehensive power management system that models the data center topology from the utility level down to racks, nodes, and GPUs. Operators define resource groups, power budgets, and policies that govern how power can be allocated, constrained, and enforced. Within those boundaries, DPS continuously compares allocated power against actual consumption
Does SteamOS 3.9 beta now include native support for both AMD and Intel discrete GPUs, leaving only NVIDIA unsupported?
Yes. The primary article reports that SteamOS is now compatible with both AMD and Intel graphics cards, leaving NVIDIA as the only mainstream GPU maker not yet supported. The article also notes that NVIDIA is working with Valve to develop GeForce compatibility (see related article "Valve is working with NVIDIA to make GeForce GPUs compatible with SteamOS"). Answered
GeForce NOW cloud streaming saw updates and new games unveiled at GDC earlier this year, which piqued my interest as someone who generally sticks with Xbox Cloud Gaming — something I can access with my Game Pass Ultimate subscription. It's a clever option for high-end titles that are too demanding for my beloved Steam Deck, but I have a somewhat unusual setup. I'm lucky enough to have a Gigabit internet connection with relatively low latency, powered by TP-Link's Deco XE75 Pro mesh setup on Wi-Fi 6E, which keeps my wireless devices running at their fastest. When I tell you that I happily enjoy
What happened to NVIDIA ChatRTX, GPT4All, and Continue.dev?
They are gone, along with a surprising number of their peers, and this is the single most useful thing to know before following an older recommendation. NVIDIA ChatRTX was deprecated on January 21, 2026, its repository archived, and its support forum locked, with no replacement named. GPT4All is the trickiest case: it has had no commits in twelve months, and its last release was February 2025, but the repository is not archived and still shows a large star count, so it looks alive. It only ever supported a narrow set of quantization formats and cannot load most current model releases. Continue
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