NVIDIA

NVIDIA released Nemotron 3.5 Bolt 74B-A9B 24GB, a model designed for local agent AI that fits within 24GB of memory.

• •NVIDIA released the open models "Nemotron 3.5 Super VL" and "Nemotron 3.5 Bolt 74B-A9B 24GB" on Hugging Face on October 15 (US time).
• •The new model is designed for local agent AI and operates within 24GB of memory.
• •A smaller model, "Nemotron 3.5 Bolt E4B 4GB", is scheduled for release on October 23.

NVIDIA emphasized the importance of access control and permission management in execution environments when designing AI agents, not just relying on instructions.

• •The article discusses the necessary security measures when AI agents autonomously operate internal systems and data.
• •It is pointed out that combining access control, permission management, and continuous verification in the execution environment is important, rather than relying solely on AI instructions.
• •A design principle prioritizing 'what not to let it do' over 'what to instruct' is presented.

Volvo is expanding its nearly decade-long partnership with Nvidia to upgrade its automated driving systems, extending the collaboration beyond battery electric vehicles.

• •Volvo is leveling up its automated driving system through an expanded partnership with Nvidia.
• •The collaboration will extend beyond the development of battery electric vehicles.
• •This move builds on a partnership that has lasted for nearly a decade.

Volvo plans to launch a hands-free, point-to-point driving system by 2030, powered by Nvidia's latest AI technology and autonomous driving stack.

• •Volvo will use Nvidia's autonomous driving stack to power a new partially automated driving system similar to Tesla's FSD (Supervised).
• •The new point-to-point system is designated as Level 2++, enabling hands-free driving.
• •The launch is targeted for 2030.

The article explores Nvidia's RTX Spark and its potential to run 'everything' on Arm, contrasting it with the historical failure of the original Microsoft Surface PC.

• •Fourteen years ago, Microsoft's original Surface PC, powered by an Nvidia Tegra chip, was a major failure that resulted in a $900 million inventory write-off.
• •The primary reason to care about Nvidia's RTX Spark is that 'everything' is expected to run on the Arm architecture.
• •The article draws a parallel between the past failure of the Surface and the current trajectory of Arm-based computing.

The article reports on a launch event in San Francisco for Nvidia's RTX Spark laptops, focusing on how Windows is being optimized for these new AI PCs.

• •Microsoft and Nvidia held a launch party in San Francisco for the first wave of RTX Spark laptops.
• •The event featured a new wave of AI PCs with a lively hands-on area for attendees.
• •The author attended a quieter Nvidia event the day after the media launch to hear more details.

NVIDIA's RTX Spark anticipates the PC form factor required for the agent AI era, but its novel value proposition makes it difficult to convey from a journalistic perspective.

• •RTX Spark is described as anticipating the PC form factor needed for the agent AI era.
• •The product proposes entirely new values and usage methods, making it hard to explain from a journalist's viewpoint.
• •The title implies high demand, with units selling out immediately despite a price of 1 million yen.

NVIDIA revealed details of the RTX Spark N1X, featuring a TSMC 3nm chiplet design with a 20-core CPU and a 48 SM GPU connected via NVLink C2C.

• •The CPU die, custom-designed by MediaTek, features a 20-core configuration and achieves 300GB/s bandwidth with LPDDR5X-9400.
• •The GPU die contains 48 SMs and 6,144 CUDA cores, utilizing NVLink C2C for connection to the CPU.
• •The device uses a chiplet structure composed of a CPU die and a GPU die manufactured with TSMC's 3nm process.

Nvidiaが米国のオープンモデルスタートアップであるReflection AIの買収について協議を進めていると報じられた

US President Trump awarded the National Science and Technology Innovation Awards to six individuals, including Elon Musk and Jensen Huang, at a science summit.

• •President Trump awarded the highest national honors to six people, including Elon Musk and NVIDIA CEO Jensen Huang.
• •The recipients contributed to US leadership and innovation in fields such as semiconductors, legacy AI, space exploration, and cloud computing.
• •The awards were presented at a science summit.