Nvidia faces renewed scrutiny over software licensing, GPU shortages and hardware failures while AWS, Google, AMD and Intel accelerate alternatives to CUDA.
Competition with CUDA is widening: AWS and Google are pushing alternative software stacks, while AMD and Intel aim to lower the cost of AI cluster switches. Reduced dependence on NVIDIA's software and cheaper networking shift the TCO equation for lar...
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...
Reports of Chinese orders for over $35 billion in Nvidia GPUs signal a reallocation of the hardware channel. For teams running LLMs locally, the impact is not just price: availability, negotiation power, and data sovereignty shift. AI-Radar's analysi...
ByteDance, Alibaba and Tencent have reportedly ordered more than $35 billion in Nvidia chips. A source mentions 3 million RTX 5500 Pro units at $11.4 each, likely for LLM inference and AI video generation. If confirmed, the move would absorb producti...
