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NVIDIA’s RTX 50-Series Laptop GPUs Bring Blackwell To Mobile
The company promises improved performance and efficiency, with up to 24GB of GDDR7 RAM for the flagship model.
NVIDIA has unveiled its RTX 50-series (Blackwell) GPUs for laptops alongside the desktop lineup, promising impressive performance gains without compromising efficiency. The next-gen hardware features powerful upgrades, including up to 24GB of GDDR7 memory for flagship model. With retail availability set for March and April, CES 2025 attendees are already getting an advanced look at several laptops featuring the GPUs.
The flagship RTX 5090 laptop GPU boasts a staggering 10,496 CUDA cores across 84 Streaming Multiprocessors — nearly matching the desktop RTX 5080 in raw specs. Equipped with 24GB of VRAM using 3GB GDDR7 modules, it operates on a 256-bit memory interface.
The RTX 5080 laptop GPU steps down to 7,680 CUDA cores (60 SMs) and 16GB of memory, matching its predecessor in capacity. It still delivers solid AI performance at 1,334 TOPS, with a flexible TGP range of 80W to 150W.
Meanwhile, the RTX 5070 series is split into two models: the RTX 5070 Ti laptop GPU with 5,888 CUDA cores and 12GB of memory, and the base RTX 5070 laptop GPU, which drops to 4,608 cores and 8GB of VRAM.
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Efficiency is a focal point for these GPUs. NVIDIA claims that the RTX 5070 laptop GPU, running at 50-100W, can match the performance of the desktop RTX 4090 while using half the power. Blackwell GPUs also bring updates to NVIDIA’s Max-Q technology, designed to optimize power efficiency for laptops. Key advancements include Advanced Power Gating, which shuts down inactive GPU sections, and Low Latency Sleep, allowing the GPU to quickly enter and exit sleep states to save power during light use.
During its CES presentation, NVIDIA revealed the pricing structure for mobile Blackwell GPUs: Partner costs for the RTX 5090, RTX 5080, RTX 5070 Ti, and RTX 5070 are $2,899, $2,199, $1,599, and $1,299, respectively. This pricing reflects what manufacturers pay, so the final cost for laptops featuring these GPUs will be higher.
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At I/O 2026, Sundar Pichai Concedes AI Must Deliver Real Value
Gemini 3.5, a personal agent called Spark, agentic shopping, and Android XR eyewear are all aimed at making AI feel useful, not just impressive.
Google’s annual I/O developer conference (I/O 2026) has recently become a status update on the same question: can the company turn its AI spending into products people use every day? This year, chief executive Sundar Pichai described Google as being in a phase of hyper progress, while conceding this is the part of the cycle where people want to see real value in the products they use on a day-to-day basis.
The strategy on display was to push agents — AI systems that act on a user’s behalf — into nearly every Google product at once. Search now has an “intelligent search box” that returns generated explainer videos alongside links. Gmail, Docs, YouTube and Maps are gaining their own agent layers, including a Docs Live feature that turns spoken instructions into drafted text with citations.
Two new models, Gemini 3.5 and a cheaper Gemini 3.5 Flash, arrived the same day. Google says 900 million people now use Gemini, and that more than 50 billion images have been generated with it. The pricing tier names are likely to confuse buyers: a new AI Ultra plan launches at $100 a month, while the older Gemini AI Ultra drops from $250 to $200.
The flashier announcements were Gemini Omni, a video generator pitched as a more realistic answer to OpenAI’s discontinued Sora 2, and Gemini Spark, a personal agent that handles recurring tasks across a user’s Google account. A new universal shopping cart lets agents complete purchases across multiple retailers from inside Google itself, placing the company between the merchant and the buyer, and also owning the checkout.
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Google also confirmed its Android XR eyewear, built with Samsung and frames from Warby Parker and Gentle Monster. Audio-only glasses ship this autumn; a display-equipped version, which would superimpose live translations into the wearer’s field of view, is still in development. Both sets translate, however only the display version shows you the result.
What Pichai did not resolve is the bargain underneath all this. An agent is only useful to the degree it knows your calendar, your inbox, your shopping history and your physical surroundings. Google has now confirmed that, in time, the same context may carry advertising.
