Alphawave Semi’s Post

Did you know our ECAP is the world’s most compact and highest-performance capacitor solution? Our EC1005P ECAP, the largest and latest addition to this family, boasts sub-1-picohenry equivalent series inductance (ESL) for high-frequency decoupling in AI and high-performance computing (HPC) applications. This recent Electronic Design article dives into the EC1005P, including its features and potential for the most demanding power-integrity targets in high-performance SoCs. Read the full article below! #ECAP #SiliconCapacitor #PowerIntegrity #PDN

The latest #Ethernet PHY and controller #IP from Synopsys Inc. can crank out up to 1.6 Tb/s of bandwidth.

VRM, not only DCx - 1000A/us We recently measured very high efficiency and A/mm2 up to 1000A in the DPx, “split” converter. https://lnkd.in/dYV6ejwt Now we use the 500A version to measure its dynamic performance, and answer the question: Is this converter capable to supply high di/dt load steps? HPC & AI chips require very demanding load steps, e.g.: ➡ 100 A ➡ 1000 A/us Our load setup reaches “only” 150A steps with “only” 150A/us. This is much less than what the DPx converter can do, which is, theoretically, >1000A/us. We measured 650 A/us, limited by the slew rate of the current probe we used. It is enough to measure what we want, though. The question is: How can you test that your power converter is faster than your load? Simple, rather than the typical “voltage drop”, which is so challenging to be limited to 60-70mV under a >100A load step, we can measure a “voltage rise”, if the converter is faster than the load. The DPx converter injects a current step to the output capacitor, synchronized with the load step (you need a fast detection of the load step) and … voilà ... Vout increases! This means that Cout can be reduced, being mostly determined by voltage ripple rather than by the load steps ! 💡 Imagine how much area is saved under the chip.  🔎 Not to mention cost savings. What is next? Improve the load test setup. Can you imagine measuring a “voltage rise” under a 300A; >1000A/us load step in the 2000A “Emerald” converter?, switching at only 150kHz?? We do! Teamwork: Alejandro Castro Molina, Pablo Mazariegos López, Alejandro Figueroa Pulido, Alvaro Cobos Figueroa, Javier Goicoechea Secilla, María Portela Díaz #hpc #ai #power #powerdelivery #powerelectronics

#qecarxiv Thresholds for the distributed surface code in the presence of memory decoherence [https://lnkd.in/gWji4ujz] How would one go about scaling up an error-corrected #quantum computer? #Distributed and #modular approach is the way to go. Here, they take the modular approach based on the surface code. One way is to interconnect the local #surface code patches; the other is inherently modular for every data qubit on the code. So far, the #QEC simulations based on stabilizer simulators take circuit-level noise modeled as Pauli errors into account, considered the closest to hardware noise. But the actual experiments perform much worse. Here, they have a more general noise model, also considering decoherence noise on memory qubits and communication qubits. Also, hardware noise on photon emission and detection is modeled to realize the modularity via GHZ state generation and its consumption for distributed stabilizer measurements. Thresholds of typically 0.1 % can be attained with the current state-of-the-art quantum technology in a distributed setting.

Micron introduces LPCAMM2, a game-changing memory module powered by LPDDR5X tech, promising higher performance, energy-efficiency, and space savings for PCs. Available in 16GB to 64GB capacities, LPCAMM2 offers up to 61% lower power consumption and 71% better performance for essential tasks. Plus, it's perfect for AI applications, providing scalability and a compact form factor. Praveen Vaidyanathan, Micron's VP, calls it a leap in user experience. With benefits like up to 80% standby power savings and modularity for upgrades, LPCAMM2 is set to redefine PC memory. Stay tuned for the future! 💻🔥 #Micron #LPCAMM2 #MemoryInnovation #PCUpgrade #ION https://lnkd.in/gGUH4CpS

Exciting things happening in the world of High Bandwidth Memory at Micron.

Applications such as #radar , imaging, wideband #spectrum monitoring, target generation, channel emulation, and real-time spectrum analysis face significant challenges in streaming and processing high-volume, high-speed data without causing bottlenecks. To address these challenges, NI (National Instruments) provides modular #PXI systems and high-performance software tools that can scale and adapt to evolving DUT needs. In this paper, learn more about NI’s high-speed serial and coprocessor PXI modules that are designed to address these challenges head on! https://lnkd.in/gf82vSwZ

How much heat will it generate if you operate it at that speed?

Although Emerging Memories have been around for quite a while, they are fueling phantasies that someday they will replace existing memories like DRAM, SRAM or NAND. The Register reports about a recent webinar, in which the Compute, Memory, and Storage Initiative (CMSI) of the Storage Networking Industry Association (SNIA) examined emerging memory technologies such as MRAM, FERAM, and ReRAM. These memories, all persistent, are already replacing some established memory technologies, including SRAM, NOR flash, and DRAM, at least in some niche applications. One benefit of replacing DRAM with persistent memory is obvious; it keeps its content even without power, meaning there is less danger of losing data. However, DRAM has been around for a long time and is cheap to produce and available in high densities – hurdles that persistent memories will also need to surmount. To cut to the chase, the experts believe that DRAM will eventually give way to a new memory type, but it is too early to tell which one will triumph, and when this will happen. Their best guess is the early 2030s. Read more about it here: https://bit.ly/3wnpnoh What do you think? Will we see DRAM replaced any time soon? #semiconductor #memory #DRAM #NAND #flashmemory #emergingmemory #techinsights 

InSemi Insights - Your regular dose of semiconductor industry insights for easy consumption so that you can absorb the most of it On-the-Go. Season 1; Episode 31 - Identify your IP Cores, Safeguard your interests! #insemiinsights #semiconductor #semiconductorindustry #onthego #knowledgesharing #technology #vlsi #vlsidesign #semiconductor #automation #soc #innovation #ip #latest #ai #insights #chip #insemi