Stopped RTX 5090 orders, melted power connectors, a reported $2,000 per-GPU software fee and the DOJ review of the Hugging Face acquisition put Nvidia's hardware, licensing and regulatory position under pressure. Used AI supercomputers and on-premise demand further signal shifting economics around Nvidia-based infrastructure.
The deal that brings Nvidia to acquire Hugging Face is under scrutiny by US justice officials. For those working with on-premise LLMs, the news hits a sensitive point: joint control of hardware and model repositories can reshape local deployment dyna...
An IT vendor has listed a used AI supercomputer on eBay for $60 million: 9,600 Nvidia A100 GPUs, 4,200 AMD EPYC CPUs and 300 decommissioned racks, with free shipping. The listing highlights how AI hardware life cycles are feeding a secondary market r...
Demand for local AI infrastructure is growing as cloud costs weigh on budgets. Supply for Asus RTX Spark is tightening, signaling a market shifting resources toward on-premises computing. The trend highlights pressure on hardware, lead times, and dep...
According to reports, Nvidia is no longer accepting RTX 5090 orders from board partners and has also blocked backorders. If confirmed, the move signals demand exceeding supply and reignites the hardware question for on-premise inference: availability...
A modification to Nvidia RTX 20, 30 and 40 series cards removes a limit that halves performance in AI workloads. The case touches the core of local inference and TCO for those choosing consumer hardware.
A figure attributed to Jensen Huang reignites the debate over NVIDIA's business model: $2,000 per GPU per year as software revenue. For on-premise cluster operators, cost shifts from CapEx to recurring OpEx, affecting TCO, operational autonomy, and s...
A repair shop received eight GeForce RTX 5090 and RTX 4090 boards with melted 16-pin connectors in two days. The failure pattern points to a power delivery weakness in high-end consumer GPUs, with direct implications for self-hosted inference and fin...
