SubsidieMeestersUltra-High Speed memories for unprecedented cloud-computing performance
Xenergic aims to revolutionize SRAM design for IoT and high-performance applications, achieving up to 90% energy savings and 3x speed, while seeking EIC Accelerator investment for market readiness.
Projectdetails
Introduction
Static Random-Access Memories (SRAM) are bottlenecks. In IoT devices, they consume significant power when the device is idle. In high-performance applications such as telecommunication infrastructure, data centres, and stationary devices, they limit the processor performance.
Mission
Xenergic’s mission is to design SRAM that revolutionizes system-on-chip power efficiency.
IoT Devices
For IoT devices, we design SRAM that reduces energy consumption by 70-90% when the device is idle.
High-Performance Applications
For high-performance applications, our SRAM has the potential to:
- Reach 2-3x higher speed
- Reduce energy consumption by 30% compared to competing SRAM.
Market Opportunity
To capitalize on a >€280B annual market opportunity, we provide our customers with IP on SRAM design tailored to their requirements and profit from royalties on their sales.
Industry Traction
Our ultra-low energy memories are gaining strong traction from leading semiconductor companies.
Investment Opportunity
Now, we seek an investment from the EIC Accelerator to make our ultra-high-speed memories market-ready.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 2.499.999 |
| Totale projectbegroting | € 5.060.416 |
Tijdlijn
| Startdatum | 1-4-2022 |
| Einddatum | 30-11-2024 |
| Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- XENERGIC ABpenvoerder
Land(en)
Vergelijkbare projecten binnen EIC Accelerator
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Solving the scaling challenge of the memory industry: high-speed, low-complexity and low-cost non-volatile ferroelectric memory (Fe-NVRAM) made in EUFMC aims to revolutionize the European semiconductor market by developing innovative, energy-efficient memory solutions, reducing reliance on imports and creating local jobs. | EIC Accelerator | € 2.499.999 | 2024 | Details |
Full qualification, testing and commercial deployment of a unique on-chip memory technology offering the highest-density embedded memory in a standard CMOS processRAAAM aims to develop and qualify Gain-Cell Random Access Memory (GCRAM) technology for nodes ≤5nm, offering a more area-efficient and cost-effective alternative to traditional SRAM. | EIC Accelerator | € 2.499.999 | 2024 | Details |
Accelerating Datacentre performance through Memory Chips to efficiently manage the Big Data AgeUPMEM's Processing-In-Memory technology enhances server efficiency by performing calculations within memory chips, achieving up to 20x speed and 10x energy savings for Big Data and AI applications. | EIC Accelerator | € 2.496.229 | 2022 | Details |
Scaling Minima ultra-low energy computing technology to make intelligent wireless devices energy efficientMinima develops ultra-low energy microprocessors to enhance the efficiency of wireless devices, aiming to transform the €6.3 billion semiconductor market by 2035. | EIC Accelerator | € 2.448.250 | 2022 | Details |
Leading the way to energy autonomous edge computingDeveloping ultra-low power semiconductor technologies to create an integrated IoT platform that harnesses ambient energy, reducing battery reliance and environmental impact. | EIC Accelerator | € 2.500.000 | 2023 | Details |
Solving the scaling challenge of the memory industry: high-speed, low-complexity and low-cost non-volatile ferroelectric memory (Fe-NVRAM) made in EU
FMC aims to revolutionize the European semiconductor market by developing innovative, energy-efficient memory solutions, reducing reliance on imports and creating local jobs.
Full qualification, testing and commercial deployment of a unique on-chip memory technology offering the highest-density embedded memory in a standard CMOS process
RAAAM aims to develop and qualify Gain-Cell Random Access Memory (GCRAM) technology for nodes ≤5nm, offering a more area-efficient and cost-effective alternative to traditional SRAM.
Accelerating Datacentre performance through Memory Chips to efficiently manage the Big Data Age
UPMEM's Processing-In-Memory technology enhances server efficiency by performing calculations within memory chips, achieving up to 20x speed and 10x energy savings for Big Data and AI applications.
Scaling Minima ultra-low energy computing technology to make intelligent wireless devices energy efficient
Minima develops ultra-low energy microprocessors to enhance the efficiency of wireless devices, aiming to transform the €6.3 billion semiconductor market by 2035.
Leading the way to energy autonomous edge computing
Developing ultra-low power semiconductor technologies to create an integrated IoT platform that harnesses ambient energy, reducing battery reliance and environmental impact.
Vergelijkbare projecten uit andere regelingen
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Ultralow-power logic-in-memory devices based on ferroelectric two-dimensional electron gasesUPLIFT aims to develop a non-volatile, ultralow power logic-in-memory component using ferroelectric materials to reduce power consumption in microelectronics, supporting a new start-up for commercialization. | ERC Proof of... | € 150.000 | 2023 | Details |
Green SELf-Powered NEuromorphic Processing EnGines with Integrated VisuAl and FuNCtional SEnsingELEGANCE aims to develop eco-friendly, light-operated processing technology for energy-efficient IoT applications, utilizing sustainable materials to minimize electronic waste and environmental impact. | EIC Pathfinder | € 3.100.934 | 2024 | Details |
Real Processing in Phase Change MemoryThe project aims to develop and commercialize a memristive memory processing unit (mMPU) using phase change memory to enhance computer performance and energy efficiency for various applications. | ERC Proof of... | € 150.000 | 2022 | Details |
ANalogue In-Memory computing with Advanced device TEchnologyThe project aims to develop closed-loop in-memory computing (CL-IMC) technology to significantly reduce energy consumption in data processing while maintaining high computational efficiency. | ERC Advanced... | € 2.498.868 | 2023 | Details |
Secure Hardware with AdvaNced NONvolatile memoriesThe SHANNON project aims to validate and enhance the iPUF technology for secure IoT by developing new architectures and algorithms, addressing technical feasibility and market readiness. | ERC Proof of... | € 150.000 | 2022 | Details |
Ultralow-power logic-in-memory devices based on ferroelectric two-dimensional electron gases
UPLIFT aims to develop a non-volatile, ultralow power logic-in-memory component using ferroelectric materials to reduce power consumption in microelectronics, supporting a new start-up for commercialization.
Green SELf-Powered NEuromorphic Processing EnGines with Integrated VisuAl and FuNCtional SEnsing
ELEGANCE aims to develop eco-friendly, light-operated processing technology for energy-efficient IoT applications, utilizing sustainable materials to minimize electronic waste and environmental impact.
Real Processing in Phase Change Memory
The project aims to develop and commercialize a memristive memory processing unit (mMPU) using phase change memory to enhance computer performance and energy efficiency for various applications.
ANalogue In-Memory computing with Advanced device TEchnology
The project aims to develop closed-loop in-memory computing (CL-IMC) technology to significantly reduce energy consumption in data processing while maintaining high computational efficiency.
Secure Hardware with AdvaNced NONvolatile memories
The SHANNON project aims to validate and enhance the iPUF technology for secure IoT by developing new architectures and algorithms, addressing technical feasibility and market readiness.