Mike Stellfox

It's an exciting time at Texas Instruments as we announce an award agreement of up to $1.6B in direct funding through CHIPS for America, which will support three new fabs under construction in Sherman, Texas, and Lehi, Utah. https://lnkd.in/gz38bCb3 ​

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Synopsys Inc  unveils the Industry's First Verification IP solutions for Arm #AMBA DTI-G protocol, empowering early adopters to successfully verify cutting-edge SMMU designs! #AMBA #DTI #SMMU #TBUv4 #ATSv4 #VerificationIP #IndustryFirst Read our blog, authored by Gunjan Gupta

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One of the big advantages of #ZephyrRTOS is the application portability it enables. We just posted a brief tutorial on how this can be used to rapidly move an application between #NXP's MCX N series and i.MX RT1060 crossover MCUs. Check it out at https://lnkd.in/gNEk4K_m

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Tech Thought #1 Innovations Beyond HBM in Memory Technology Exciting advancements are on the horizon beyond HBM in memory technology. HBM3 is poised to elevate bandwidth and capacity for demanding applications, while Memory-Class Storage (MCS) merges memory and storage features for enhanced speed and capacity. Persistent Memory (PMEM) offers a blend of DRAM-like performance and storage durability, propelling innovation in data processing efficiency. Furthermore, breakthroughs in 3D integration, like 3D NAND and 3D DRAM, promise heightened storage density and performance. Neuromorphic memory, inspired by neural networks, and Quantum memory, harnessing quantum states, hold the potential to revolutionize speed and capacity in memory technology. Reconfigurable memory architectures are also set to adapt to diverse workloads, optimizing performance across various applications. These advancements collectively mark a significant leap forward in memory technology, paving the way for a future that goes beyond the capabilities of HBM. #MemoryArchitecture #3DMemories #HBM #SpintronicsAI

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"The Age of #Chiplets is Upon Us" By Karl Freund, Founder and Principal Analyst of Cambrian-AI Research https://lnkd.in/eySRPGH9 This article examines two recently unveiled enabling technologies: a system chiplet from Cadence and Arm and new interconnect technologies from Intel Corporation that provide the glue needed to assemble the puzzle into a compelling solution. We will also examine the benefits of chiplet-based designs and some reasons why they may not make sense. For example, NVIDIA does not use chiplets—at least not yet. We explore why that is the case.

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FPGAs are accelerating #LLMs, and we have released benchmarks for the #Llama2 70B model's performance: https://lnkd.in/gjyRaEhp With exceptional computational power and memory bandwidth, Achronix Semiconductor Corporation Speedster7t FPGAs are redefining what can be achieved with FPGA technology. #FPGA

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#HBM4 set to land sooner than expected 💡 Suppliers and JEDEC are bringing their HBM4 plans forward as they suspect the forecasted Gen #AI boom means incoming NVIDIA GPUs will need it sooner. High bandwidth memory (#HBM) bypasses #X86 socket-connected #DRAM capacity and bandwidth limits by having #memory dies stacked on top of a logic layer, with interconnecting TSV channels, all linked to a #GPU via an interposer component providing higher bandwidth than X86 sockets. The Joint Electron Device Engineering Council (JEDEC) confirms and issues HBM standards, with the current one being its fifth, HBM3E (extended). JEDEC has said it will issue a completed HBM4 spec by the end of this year – just few months ago the schedule was for a 2025 delivery. Preliminary HBM4 characteristics are emerging already. Thanks again to Chris Mellor and Blocks and Files for the full article with more background and insights via the link below 💡🙏👇 https://lnkd.in/eZp_wyHB #semiconductorindustry #semiconductors #semiconductor #technology #tech #innovation #semiconductormanufacturing #it #chip #chips #ic #it

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Insightful conversation on Scaling Performance in AI Systems with Ed Sperling of Semiconductor Engineering and Andy Nightingale of Arteris. Check it out here: https://hubs.ly/Q02Y_6KN0 #semiconductor #innovation #SystemOnChip #NetworkOnChip #Arteris

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Tackling Data Retention in SSDs (by Anil Burra from Intelligent Memory) 🤩 "SSDs have conquered the market due to their speed, durability, energy efficiency, and small form factor. However, write endurance and data retention are concerns in #embedded and #industrial applications, especially as the technology moves to ever smaller nodes." (Anil Burra) With the scaling of #NAND #flash #technology to higher densities (e.g., Triple-Level-Cell or Quad Level-Cell) and smaller process nodes, data retention becomes more challenging due to increased cell-to-cell interference and reduced margins for charge storage. Therefore, newer #technologies may have shorter specified data retention periods compared to older, more robust #SLC (Single-Level-Cell) or #MLC (Mul ti-Level-Cell) #NAND products. Two key factors affect data retention, the period over which #flashmemory can store #data without loss or corruption, in #NANDflash cells: program/erase (P/E) cycling and operating temperature. A very big thank you to Anil Burra from Intelligent Memory for this insightful article via Electronic Specifier Ltd with more background and insights via the link below 💡🙏👇 - A very good read to an important TOPIC 🤩 https://lnkd.in/eqdH7-N2 #semiconductorindustry #semiconductormanufacturing #innovation #it #ai #ssd #datastorage #automotiveindustry #embeddedsystems #ic #computer #computing #iot #memory #chip #chips #technology #tech

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Texas Instruments Secures $1.6 Billion CHIPS Act Funding for Semiconductor Expansion LEHI, Utah & SHERMAN, Texas – December 20, 2024 Texas Instruments (TI) and the U.S. Department of Commerce have finalized an agreement for up to $1.6 billion in direct funding through the U.S. CHIPS and Science Act. This funding will support the development of three 300mm wafer fabs in Texas and Utah, bolstering the U.S. semiconductor supply chain. The funding will be distributed based on project milestones to facilitate: ▪️ Cleanroom construction and tool installations at Sherman, Texas (SM1) ▪️ Shell construction for a second Sherman fab (SM2) ▪️ Cleanroom construction and tool installations at Lehi, Utah (LFAB2) These facilities are set to produce tens of millions of analog and embedded processing chips daily, supporting industries such as automotive, industrial, and personal electronics. Economic and Workforce Impact ▪️ 2,000 new TI jobs and thousands of indirect roles will be created. ▪️ Up to $10 million will support workforce development in Texas and Utah. Sustainability Initiatives ▪️ 100% renewable electricity for all fabs. ▪️ Aiming for 70% water reuse capability. ▪️ Facilities designed to meet LEED Gold standards. This milestone reinforces TI’s position as the largest U.S. manufacturer of analog and embedded processing chips, driving a resilient and sustainable semiconductor ecosystem. Thanks again to PR Newswire for the full article with more background and insights click the source link in the comments below. #Semiconductors #CHIPSAct #TexasInstruments #SustainableManufacturing #WorkforceDevelopment #USInnovation #TechLeadership #300mmFabs #TechResilience #ManufacturingInnovation

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At Broadcom, we enable today's Gen AI and deliver breakthrough technologies that will power tomorrow’s AI. A cluster of one million XPUs requires over 10 million high bandwidth links. Our SerDes roadmap provides the right foundation for our high performance XPUs and switches to drive power efficiency and scale for these large clusters. Here is our sixth video of the “Enabling AI” video series. #enablingAI #connectedbybroadcom

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PCIe and Chiplet design and related standards are a hot topic these days. Passing along this webinar info from the pros at Keysight Technologies. Always learn a lot from them, so passing this along!

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𝐒𝐞𝐦𝐢𝐜𝐨𝐧𝐝𝐮𝐜𝐭𝐨𝐫𝐬 𝐒𝐥𝐨𝐰𝐢𝐧𝐠 𝐢𝐧 𝟐𝟎𝟐𝟓 Source: By Bill Jewell via Semiconductor Intelligence, LLC (https://lnkd.in/gkzgfPXc) #Nvidia remained the largest semiconductor company in 3Q #2024 with $35.1 billion in revenue due to its strength in #AI #GPUs. Nvidia sells its #AI GPUs as modules which include memory supplied by SK hynix, Micron Technology, and #Samsung as well as other components supplied by outside vendors. Thus, NVIDIA’s #semiconductor revenue from its own devices is less than its total revenue. However, #Nvidia would still be the largest semiconductor company even if externally purchased components were excluded. #Samsung Semiconductor was second at $22.0 billion with memory for #AI servers cited as a major revenue driver. Broadcom remained third with its guidance for 3Q 2024 at $14.0 billion. Broadcom highlighted its #AI #semiconductors as a growth driver. Intel and SK Hynix rounded out the top five. The third quarter of 2024 was robust for most major semiconductor companies. The memory companies #SKHynix, #MicronTechnology, and KIOXIA America, Inc. all reported double-digit revenue growth in 3Q 2024 versus 2Q 2024. #Nvidia and AMD each reported 17% growth due to AI data center demand. The only company showing declining revenue was Renesas Electronics, down 3.8% due to a weak automotive market and inventory reductions. The weighted average revenue growth for 3Q 2024 versus 2Q 2024 for the sixteen companies was 10%. The outlook for 4Q 2024 shows diverging trends. The #datacenter market, driven by AI, is expected to lead to substantial revenue growth for #Nvidia, #Micron, and #AMD. Samsung Semiconductor and #SKHynix did not provide specific 4Q 2024 #revenue guidance, but both cited AI server demand as strong. Companies which are dependent on the automotive industry expect a weak 4Q 2024. Infineon Technologies, Texas Instruments, NXP Semiconductors, and Renesas Electronics all guided for revenue declines in 4Q 2024 based on a weak #automotive market and inventory reductions. STMicroelectronics also cited these factors but expects a 2.1% revenue increase. The companies heavily dependent on smartphones have differing revenue expectations, with Qualcomm guiding up 7.2% and MediaTek guiding down 1.0%. The weighted average guidance for 4Q 2024 versus 3Q 2024 is a 3% increase. However, the individual company guidance varies widely, from plus 12% from #Micron to an 18% decline from #Infineon and a 19% decline from #Renesas.

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The Transformative Power of Software-Defined Radio 📡   In the fast-changing tech world 🌐, Software-Defined Radio (SDR) is a game-changer, transforming how we use radio communication. Unlike traditional radios tied to fixed hardware, SDR uses software for its functions, offering amazing flexibility and performance 💪.   What is SDR?   SDR is a new way of radio comms. Key components like mixers and filters, usually in hardware, are now handled by software 🖥️. This brings: - Flexibility: Reconfigure fast for different standards and waveforms. - Better performance: Improved signal processing.   For example 👇: - Traditional radio: Limited by hardware. - SDR: Update software to adapt to various tasks.   How SDR Works   SDR combines software and hardware to process signals. Here's a simple view: 1. Antenna: Gets the signals. 2. RF Tuner: Picks the right frequency and filters out the bad. 3. ADC: Turns analog to digital. 4. DDC: Handles digital signal processing. 5. DSP: Decodes and demodulates, with power amps for better audio. 6. Computer: Runs the controlling software.   Key Components of SDR 1. Radio Transceiver: Converts data. Example: Smartphones switching comm standards. 2. Software: Controls and processes. Example: Reprogram for new protocols. 3. Computer: Stores and runs. Example: Laptop for amateur radio.   Awesome Applications of SDR 1. Radio Astronomy: Detect faint cosmic signals. 2. Military: For warfare and secure comms. 3. Emergency Services: Keep comms during disasters. 4. Commercial Wireless: Monitor spectrum and detect interference. 5. Amateur Radio: Communicate and track.   Why SDR is a Big Deal 1. Flexibility: Reconfigure easily for different jobs. 2. Upgradability: Add new features via software. 3. Cost-effective: Cut the need for multiple devices.   Real Impact - Cellular: Helps with 5G integration. - Military: Adapts comms fast. - Emergency: Maintains comms in crises.   Conclusion   SDR is changing our radio world. Its benefits make it great for many uses. As tech moves on, it'll be even more important 🌟.   Discover more at www.DynamicEngineers.com.  #TechInnovation #SDR #WirelessCommunication #RadioTechnology #CommunicationEvolution #SoftwarePower #FutureTech #DigitalSignal #SignalProcessing #FrequencyControl #MicrowaveJournal #MicrowaveJournalCN #DynamicEngineers #EverythingRF

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Efficiency is key to enable AI at the edge. In this video our VP of AI, Carlos Morales shows how efficiently and fast Ambiq Apollo5 (Cortex M55 on SPOT) can classify images. Reach out to hear more if you are curious! #edgeAI #CortexM55 #arm #efficiencymatters #subthreshold #SPOT #edgecompute #innovation #semiconductors

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Dual-core ARM Cortex-A55 SoM starting from $34 https://lnkd.in/eC4M4PUa

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Power consumption was the main topic at OFC 2024 in San Diego, CA. The g.metro discussion has laid out many things including the idea of providing telemetry data. What this can do and how transceiver customization in access networks can optimize power consumption is the topic of this week's article. Enjoy the read. #tranceiver #access #photonics #gmetro #power #energysavings

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