Intel and SoftBank Team Up on New Memory for AI That Won't Wait
While the industry scrambles for scarce Nvidia chips, Intel and a SoftBank subsidiary are going after a different weak spot: memory. They have teamed up to commercialize a next-generation memory technology. In the era of giant language models, the speed of data exchange between processor and memory is the bottleneck that holds progress back. For Intel, this is a critical chance to return to the top league of AI hardware. For Masayoshi Son, it is one more brick in the foundation of his AI infrastructure empire. If the project succeeds, the result would be not just faster neural networks but also a significant cut in the cost of training them.
AI-processed from 36Kr (36氪); edited by Hamidun News
The AI world today looks like an arms race in which everyone watches only the power of the "engine": the graphics processors. But any engineer will tell you that even the most powerful motor is useless if its fuel arrives through a thin straw. That problem, the so-called "memory wall," is what Intel and one of the units of Japanese conglomerate SoftBank have decided to storm. The companies announced a partnership to bring a next-generation memory technology to market.
The news may seem dull next to yet another chatbot release, but it helps determine what data centers will look like in a couple of years.
To understand the context, consider where both sides of the deal stand. Intel is going through a rough patch, trying to catch a departing train of AI hype. Its own Gaudi accelerators have so far failed to become a full alternative to Nvidia's offerings. SoftBank, meanwhile, led by Masayoshi Son, is obsessed with building superintelligence. Holding Arm, Son understands that the architecture of the future must be integrated. Memory can no longer exist apart from the compute unit. It has to be fast, energy-efficient and, most importantly, commercially available at enormous scale.
The core of the new technology is a radical increase in bandwidth. Modern LLMs spend a colossal amount of time and energy simply shuttling model weights from memory to the chip and back. When we talk about "next-generation memory," we mean new protocols and physical interfaces that should let data move almost unimpeded. This is not just an evolution of the RAM we know, but an attempt to rethink the very hierarchy of how a computer accesses information. Intel brings manufacturing muscle and deep lithography experience, while SoftBank provides strategic vision and access to the Arm ecosystem.
Why does this matter right now? Because we have hit an efficiency ceiling. Simply adding more transistors to a chip is getting more expensive and harder. The industry needs a qualitative leap in architecture. If Intel and SoftBank manage to standardize the new memory and make it cheaper, it would hit Nvidia's monopoly, whose proprietary interfaces such as NVLink cost a fortune. It is a chance for the market to become a bit more open and competitive. Ultimately everyone would benefit, from small startup developers to tech giants whose data center electricity bills are growing exponentially.
Of course, skeptics may note that Intel has more than once promised breakthrough technologies that then gathered dust on shelves for years or reached the market too late. Still, the alliance with SoftBank adds weight to this story. The Japanese conglomerate knows how to find growth points and push them aggressively. For Intel, this is perhaps one of the last chances to prove it is still capable of innovation that shapes the industry, rather than endless refreshes of old processors. The battle for AI is now fought not only in code but also in the physical layers of silicon.
The key question: will the new memory be the lever that lets Intel regain its former glory, or are we watching yet another attempt to catch up with Nvidia through marketing alliances?
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