Use Case: Semiconductors

New Opportunities for Semiconductor Companies

“The AI and DL revolution gives the semiconductor industry the greatest opportunity to generate value that it has had in decades. Hardware can be the differentiator that determines whether leading-edge applications reach the market and grab attention. As AI advances, hardware requirements will shift for compute, memory, storage, and networking—and that will translate into different demand patterns. The best semiconductor companies will understand these trends and pursue innovations that help take AI hardware to a new level.“ – McKinsey & Company Artificial-intelligence hardware: New opportunities for semiconductor companies

DeepCube for Semiconductors
DeepCube for Semiconductors

New Opportunities for Semiconductor Companies

“The AI and DL revolution gives the semiconductor industry the greatest opportunity to generate value that it has had in decades. Hardware can be the differentiator that determines whether leading-edge applications reach the market and grab attention. As AI advances, hardware requirements will shift for compute, memory, storage, and networking—and that will translate into different demand patterns. The best semiconductor companies will understand these trends and pursue innovations that help take AI hardware to a new level.“ – McKinsey & Company Artificial-intelligence hardware: New opportunities for semiconductor companies

DeepCube for Hardware Providers

DeepCube Takes AI Hardware to a New Level

DeepCube’s patented “software accelerator” can be deployed on any type of hardware and enables all artificial intelligence hardware providers to drastically improve their speed.
By partnering with DeepCube, CPU, GPU and edge device chip manufacturers can gain the following competitive advantages:

  • CPU manufacturers can close the current gap in speed when competing with GPU manufacturers
  • GPU / ASIC manufacturers improve their performance
  • Edge device chip manufacturers can deploy deep learning directly on the device itself
DeepCube for Hardware Providers

DeepCube Takes AI Hardware to a New Level

DeepCube‘s “software accelerator” patented technology, which can be deployed on any type of hardware, enables all Artificial Intelligence’s Hardware providers to improve drastically their speed. CPU, GPU, edge devices chips manufacturers gain competitive advantage by partnering with DeepCube:

  • CPU players fill the speed gap with GPU players
  • GPU / ASIC players improve their performance
  • Edge device chip players enable deep learning’s deployment on the device itself

Semiconductors for Data Centers

Many data centers tend to replace CPUs with GPUs, but CPU providers that partner with DeepCube can now offer data centers a simple software update to gain the same performance benefits they would see with GPUs, as the runtime on the existing hardware is reduced to a fraction of the initial rate.
GPU providers that partner with DeepCube also experience major speedups and can therefore gain a competitive advantage.

DeepCube for Data Centers
DeepCube for Data Centers

Semiconductors for Data Centers

As Data Centers tend to replace CPUs by GPUs, CPU providers using DeepCube can propose to these Data Centers a simple software update to benefit from the same performance as GPUs. As a result, the runtime on existing hardware is a fraction of the initial runtime.
For GPU providers, collaborating with DeepCube provides a competitive edge as it enables major speedup.

DeepCube for Edge Devices

Semiconductors for edge devices

Deep learning deployments remain very limited on edge devices (surveillance cameras, drones, autonomous cars, agricultural machines, etc.) due to heavy processing, memory and battery requirements. DeepCube provides the only technology that allows efficient deployment of deep learning models on edge intelligent edge devices.
By partnering with DeepCube, edge device manufacturers can deploy deep learning directly on the devices themselves, enabling them to make truly autonomous decisions.

DeepCube for Edge Devices

Semiconductors for edge devices

On edge devices (surveillance cameras, drones, autonomous cars, agricultural machines, etc.), deep learning deployment remains very limited due to heavy processing, memory, and battery requirements. DeepCube provides the only technology that allows efficient deployment of deep learning models on edge intelligent edge devices. By partnering with DeepCube, edge device chip players enable deep learning’s deployment on the devices themselves enabling them to make truly autonomous decisions.

Semiconductor Companies, Transform Your Business

With DeepCube, you can see massive gains in performance