Intel realizes there will be a post-Moore's Law era and is already investing in technologies to drive computing beyond today's PCs and servers.
The chipmaker is "investing heavily" in quantum and neuromorphic computing, said Brian Krzanich, CEO of Intel, during a question-and-answer session at the company's investor day on Thursday.
"We are investing in those edge type things that are way out there," Krzanich said.
To give an idea of how far out these technologies are, Krzanich said his daughter would perhaps be running the company by then.
Researching in these technologies, which are still in their infancy, is something Intel has to do to survive for many more decades. Shrinking silicon chips and cramming more features into them is becoming difficult, and Intel is already having trouble in manufacturing smaller chips.
Smartphones, PCs, and other devices are getting smaller, faster and more power efficient thanks to Moore's Law, a 1965 observation loosely stating that the number of transistors in a die area would double every two years, causing performance to double while driving down the cost of making chips.
Intel has been using Moore's Law as a guiding star to make faster and smaller chips and reducing the price of devices. However, it is widely agreed that Moore's Law is slowly dying, and Intel's manufacturing struggles are growing.
For decades, Intel's business has been heavily reliant on its ability to make and deliver chips. But the process is slowing down. Intel used to advance manufacturing processes every two years, and that has now changed to three to four years.
One way to resolve that crisis -- which all chipmakers face -- is to completely change the current computing model in PCs, smartphones, and servers. The current model -- known as the Von Neumann approach -- involves data being pushed to a processor, calculated, and sent back to memory. But storage and memory are becoming bottlenecks.
The answer is to adopt new models of computing, which is where quantum computers and neuromorphic chips fit in. Quantum computers have the potential to be powerful computers harnessing the unique quality of a large number of qubits to perform multiple calculations in parallel. Neuromorphic chips are modeled after the human brain, which could help computers make decisions based on patterns and associations.
Some short-term answers can resolve the bottlenecks based on Von Neumann model, including Optane, Intel's new form of super-fast memory and storage. It could unite SSDs and DRAM in systems, cutting one bottleneck. Intel is also embracing silicon photonics, which could resolve throughput issues in data centers. Both technologies have researched for more than a decade and are now practical.
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