Numem to Present Advanced Memory Innovations at Upcoming Chiplet Summit

Numem’s Game-Changing Innovations at the chiplet Summit

If you’re keeping an eye on the future of AI and memory technology, you won’t want to miss what Numem has in store at the upcoming Chiplet Summit. This company is on a mission to revolutionize how we think about memory for AI workloads, and they’re doing it in a big way. By introducing memory subsystem designs, Numem is tackling the persistent bottlenecks that have been holding back performance and power efficiency in AI systems.

As AI workloads and processors like GPUs continue to surge, we’re facing a significant challenge: the memory bottleneck. Traditional memory solutions like SRAM and DRAM are struggling to keep pace with the demands of modern applications. This is where Numem steps in, offering intelligent memory solutions that promise higher power efficiency and greater bandwidth. So, how exactly are they doing this?

Revolutionizing Memory Architecture

Numem is shaking up the conventional memory paradigms with its advanced System-on-Chip (SoC) Compute-in-Memory solutions. At the heart of this transformation are their patented technologies: NuRAM and SmartMem. These innovations are designed to confront the critical memory challenges that AI applications face today.

Max Simmons, the CEO of Numem, puts it succinctly: “Numem is fundamentally transforming memory technology for the AI era by delivering unparalleled performance, ultra-low power, and non-volatility.” His words highlight the core mission: making MRAM (Magnetoresistive Random Access Memory) not just a theoretical solution but a practical, deployable option. The goal? To tackle the memory bottleneck while keeping power consumption significantly lower than that of SRAM and DRAM.

The MRAM-Based Chiplet Solution

At the Summit, attendees will get an exclusive sneak peek at Numem’s chiplets—think high-speed, non-volatile, ultra-low power solutions that leverage MRAM to resolve the memory challenges inherent in chiplet architectures. Sampling is expected to kick off in late Q4 of 2025, so the wait isn’t too long!

What can we expect from these chiplets? Here are a few standout features:

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Unparalleled Bandwidth

: These chiplets can deliver up to an astounding 4 TB/s per 8-die memory stack, blowing past existing AI memory solutions like HBM (High Bandwidth Memory).

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High Capacity

: With support for up to 4 GB per stack package, scalability for demanding AI workloads is within reach.

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Non-volatile with SRAM-Like Performance

: These chiplets combine ultra-low read/write Latency with persistent data retention, providing unmatched reliability and efficiency.

–

Power Smart

: The design is all about efficiency, featuring multi-state flex power functions that adapt to active, standby, and deep sleep modes.

–

Broad Application Compatibility

: Optimized for various AI applications, these chiplets are designed to integrate seamlessly with OEMs, hyperscalers, and AI accelerator developers.

–

Advanced Integration

: They complement other chiplet components like CPUs and GPUs, enhancing overall system performance.

–

In-Compute Intelligence

: This feature makes memory smarter by managing data flow, read/write times, and power states.

–

Proven Technology

: Built on a reliable MRAM process, these chiplets promise improved radiation performance, reducing exposure to soft errors.

NuRAM and SmartMem: A Closer Look

Numem isn’t stopping there. They’ll also showcase their patented NuRAM and SmartMem technologies, which are setting new standards in speed and efficiency. Imagine reducing standby power by up to 100x compared to SRAM while achieving similar bandwidth. And if that’s not impressive enough, these technologies can deliver up to 4x faster performance than HBM—all while operating at ultra-low power.

As we gear up for the Chiplet Summit, it’s clear that Numem is not just another player in the memory space; they’re a potential game-changer. With their innovative approach to memory architecture, they’re paving the way for the next generation of AI applications, from data centers to edge computing. Stay tuned—this is one story you won’t want to miss!

Technology Explained

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chiplet: Chiplets are a new type of technology that is revolutionizing the computer industry. They are small, modular components that can be used to build powerful computing systems. Chiplets are designed to be used in combination with other components, such as processors, memory, and storage, to create a complete system. This allows for more efficient and cost-effective production of computers, as well as more powerful and versatile systems. Chiplets can be used to create powerful gaming PCs, high-end workstations, and even supercomputers. They are also being used in the development of artificial intelligence and machine learning applications. Chiplets are an exciting new technology that is changing the way we build and use computers.

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chiplets: Chiplets are a new type of technology that is revolutionizing the computer industry. They are small, modular components that can be used to build a variety of computer systems. Chiplets are designed to be highly efficient and cost-effective, allowing for the creation of powerful and complex systems without the need for large, expensive components. They are also highly customizable, allowing for the creation of systems tailored to specific needs. Chiplets are being used in a variety of applications, from high-end gaming PCs to embedded systems and even supercomputers. They are also being used to create powerful AI systems, allowing for the development of more advanced and intelligent machines. Chiplets are revolutionizing the computer industry, allowing for the creation of powerful and efficient systems at a fraction of the cost.

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Latency: Technology latency is the time it takes for a computer system to respond to a request. It is an important factor in the performance of computer systems, as it affects the speed and efficiency of data processing. In the computer industry, latency is a major factor in the performance of computer networks, storage systems, and other computer systems. Low latency is essential for applications that require fast response times, such as online gaming, streaming media, and real-time data processing. High latency can cause delays in data processing, resulting in slow response times and poor performance. To reduce latency, computer systems use various techniques such as caching, load balancing, and parallel processing. By reducing latency, computer systems can provide faster response times and improved performance.

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SoC: A System-on-Chip (SoC) is a highly integrated semiconductor device that encapsulates various electronic components, including processors, memory, input/output interfaces, and often specialized hardware components, all on a single chip. SoCs are designed to provide a complete computing system or subsystem within a single chip package, offering enhanced performance, power efficiency, and compactness. They are commonly used in a wide range of devices, from smartphones and tablets to embedded systems and IoT devices, streamlining hardware complexity and facilitating efficient integration of multiple functions onto a single chip.

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