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NVIDIA has reportedly informed its partners that the launch of the GeForce RTX 50 SUPER Series has been delayed indefinitely. The reason behind this delay has not been officially disclosed by NVIDIA. This delay impacts the release of the highly anticipated graphics cards, leaving consumers and tech enthusiasts waiting for further updates on the situation.
Nvidia released a new 12GB version of the RTX 5070 mobile GPU with upgraded memory chips, increasing memory throughput. Framework introduced a new graphics module for its Framework Laptop 16 featuring this GPU, priced at $1,199, a significant increase from the $699 8GB version. The high cost is attributed to the expensive GDDR7 memory and the ongoing global memory shortage. Framework clarified that the pricing is influenced by external factors and not within its control, highlighting the challenges faced by consumers due to the current market conditions.
Nvidia has quietly released a new 12GB RTX 5070 laptop GPU, offering 50% more memory capacity than the existing 8GB version. This new option aims to address the ongoing memory shortage crisis, providing gamers and creators with more VRAM for improved performance. The 12GB RTX 5070 will sit between the 8GB and Ti 12GB versions in Nvidia's mobile GPU lineup, offering enhanced capabilities for AAA gaming and higher graphical settings. This move marks a rare instance of Nvidia offering higher VRAM options amidst industry trends of reducing memory capacities on consumer hardware.
Nvidia is rumored to be reintroducing the RTX 3060 graphics card in June 2026 to address GPU price hikes and memory shortages. The company has reportedly paused the launch of the RTX 5050 9GB variant, potentially due to these market challenges. The RTX 3060, with its 12GB of GDDR6 memory, could offer a cost-effective solution for gamers, especially with the current scarcity of GPUs. The decision to bring back the RTX 3060 may be influenced by the lower cost of GDDR6 VRAM and the ease of manufacturing using Samsung's 8nm process.
Nvidia CEO Jensen Huang engaged in a heated debate about selling chips to China, emphasizing that China already has significant compute power and could develop advanced AI models regardless. He argued that restricting Nvidia's chips would not prevent China's AI development and could lead to a fragmented tech ecosystem. Huang stressed the importance of maintaining innovation and nurturing the tech ecosystem to compete effectively. He highlighted the complexity of AI technology, emphasizing the need for all layers of the industry to succeed, not just focusing on one aspect.
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