From WCCFTech May 30:
Although CES 2026 was a massive disappointment for consumers, Computex 2026 looks to inject some much-needed excitement back into the beleaguered tech space.
In what is arguably the biggest consumer hardware launch of the year, Nvidia and ARM have already started teasing their highly anticipated N1X laptop chip, an APU based on the same GB10 chip used in the DGX Spark. Now, as Jensen prepares to take the stage at Computex next week, let's take a look at what Nvidia has planned for the show.
Nvidia's Laptop Chip Finally Launches, Packing 20 CPU Cores With An RTX 5070 Equivalent GPU
Nvidia, Arm, and Microsoft have taken Twitter by storm recently, with a series of cryptic X posts declaring "A new era of PC", accompanied by coordinates pointing to Taipei Music Center. This obviously refers to the much-anticipated N1X laptop APU, packing 20 ARM cores and 6,144 CUDA cores into a single package, all sharing a unified memory pool over a 256-bit LPPDR5X bus.
In theory, this should put N1X ahead of AMD's strongest APU, but as we've seen with Qualcomm's laptop chips, real-world gaming performance is still hit-or-miss on ARM-based CPUs, not to mention the significant memory bandwidth deficit with LPDDR5X. Another important note is that although the GPU has the same core count as a desktop RTX 5070, power consumption will be significantly lower, so expectations should be kept in check.
Obviously, the real draw with N1X will be the ability to allocate massive amounts of VRAM to the GPU from the shared memory pool. This will allow users to run intelligent, 100B+ parameter LLMs locally, just as we've seen with Strix Halo in its 128GB config. Nvidia's advantage here will be more robust, day-one support for various AI applications, as despite AMD's massive leaps with ROCm recently, CUDA remains king for crucial consumer use cases such as image and video generation.
In terms of partners for this launch, Dell, Lenovo, and ASUS have each either accidentally leaked confirmation of N1X models or hinted at such. HP hasn't teased (or leaked) anything yet, but they'll likely have models available too. Prices are still up in the air, but given that Strix Halo laptops with 128 GB of RAM retail for close to $3k nowadays, I'd expect a figure north of that for equivalently spec'd N1X laptops.
Vera Rubin, Nvidia's Complete "AI Factory" Platform, Rolls Out....
....MUCH MORE
Counterpoint Research also has an overview, May 29:
Computex 2026: Agentic AI & Physical AI Reshaping the Computing Landscape
NVIDIA Remains in Spotlight:
AI is no longer confined to research. From energy and infrastructure to chips, models, and applications, the entire AI industry is rapidly developing. Vera Rubin, the successor to Blackwell, scales from rack-level to cell-level systems and is designed specifically for the era of agent-based AI. NVIDIA also stated that major hyperscale data center operators and system manufacturers are already deploying the platform. NVIDIA is building a complete AI platform, not just selling GPUs. With CUDA-X, MGX, and DSX, NVIDIA is building a complete AI infrastructure platform. NVIDIA also describes AI data centers as "token factories."
Agent-based AI will drive a new wave of computing demand. AI agents are rapidly entering personal computers, enterprise software, and work systems, creating enormous computing demand. This not only presents opportunities for GPUs but also provides new growth opportunities for CPUs in reinforcement learning and AI orchestration. NVIDIA will likely showcase the development of physical AI, including driverless taxis, autonomous vehicles, and humanoid robots.
Taiwan is becoming a key hub for the global AI industry. NVIDIA believes that AI will spawn a completely new industry, just like steam power, electricity, and the internet. Leveraging its semiconductor and supply chain advantages, Taiwan now holds a significant position. (GTC Taipei 2026 Highlights Expectations)
CPU to Become the Backbone of Agentic AI Infrastructure:
Last year, the focus was on core counts, node transitions, and ASICs. This year, we expect the focus to shift toward the CPU, as it is now the backbone of agentic AI infrastructure....
