Lin Li

Have you heard of ChatGPT and Nvidia? Of course ..it is impossible to find someone not knowing about these companies😊 But have you heard about “Groq”? If yes, welcome to the AI revolution era..If not.. here it is: Groq: The new blazing-fast AI platform that beat ChatGPT and Nvidia chip. Groq is the ‘fast and furious’ of the LLM world offering a staggering 500 tokens ( words) per second for smaller models with an output speed of 2.5 seconds, latency 0.2 seconds ( the time taken to generate the first word). Now question is how does Groq achieve that? While established players like ChatGPT rely on conventional Nvidia GPUs, Groq's LPU ( Language Processing Unit) operates at a whole new level. ChatGPT's GPUs chug along at a modest 30-60 tokens per second. Groq blows that away, offering a staggering 500 tokens per second for smaller models and a still-impressive 250 for larger ones. That's a performance leap of 5-8 times! This chip is designed and built from the ground up with a "software-first" mentality to excel at processing the massive datasets that power LLMs. This focus translates to predictable, lightning-fast performance with minimal latency. Still not thrilled enough.. Alright what if I tell you: 1) Groq chip is all built in North America. Smooth supply chain.. 2) The Groq LPU chip provides around 3 times more performance per dollar compared to the Nvidia A100. 3) Reduced Carbon Emissions: Lower power consumption directly translates to reduced carbon emission. 4) Groq free trial is available to everyone! Check it out.. https://groq.com

9

6 Comments

#fundamentalseries UVM A UVM test is a component within the UVM (Universal Verification Methodology) framework that defines the overall verification scenario for a given testbench. It is responsible for configuring the test environment, initiating sequences that generate stimuli for the Design Under Test (DUT), and controlling the execution flow of the simulation. Key Features of a UVM Test 1. Top-Level Control: The UVM test is the top-level component in the UVM environment. It orchestrates the various components and sequences that form the testbench. 2. Environment Configuration: A UVM test typically sets up and configures the environment in which the DUT is verified. This includes instantiating and configuring the UVM environment, agents, monitors, scoreboards, and other components. 3. Stimulus Generation: The test is responsible for initiating the sequences that generate the stimuli to be applied to the DUT. These sequences are executed by sequencers and drivers within the testbench. 4. Phase Execution: UVM tests leverage UVM's phase mechanism to control the execution of the testbench. The most commonly used phases in a UVM test are build_phase, run_phase, and final_phase. 5. Reusability: UVM tests are designed to be reusable. You can have multiple tests that reuse the same environment but configure it differently or run different sequences. 6. Verification Goals: Each UVM test is designed to achieve specific verification goals, such as testing a particular feature of the DUT, verifying functionality under different conditions, or generating specific coverage metrics. Structure of a UVM Test A typical UVM test consists of several key methods, such as: * build_phase: In this phase, the test constructs the UVM environment, including agents, drivers, monitors, and other components. * run_phase: This is where the test executes sequences that generate stimuli for the DUT. The run phase is where the main simulation activities occur. * final_phase: This phase is used to perform any final checks, summarize results, or clean up after the simulation. Example of a UVM Test https://lnkd.in/gKVXcdzA https://lnkd.in/g-cqskcA #uvm #uvmmethodology #fundamentalseries #uvmconcepts #uvmsyntax #verification #testbenches #verificationengineer #training #mirafratechnologies

64

Actually, RAM=Read write Random Access Memory. It is volatile. ROM=Read only Random Access Memory. It is non-volatile. Clearly explained about the above fullforms.This post answers the question "Why RAM is called as Random access memory? " #memories #embeddedsystems #computers #volatileandnonvolatilememories #processors

2

Hi All, I’m thrilled to share that the upcoming Design Automation Conference (DAC) will feature an exclusive tutorial on Semiconductor Process Design Kits (PDKs). PDKs, or Process Design Kits, are essential tools that bridge the gap between chip designers and semiconductor foundries. Whether you’re a seasoned chip designer or just curious about the magic behind silicon, this session is not to be missed! 🌟 🗓️ Date: [06/24/2024] ⏰ Time: [10:30AM PDT] 📍 Location: [Moscone West, San Francisco] What’s in Store? Understanding PDKs: Dive into the nitty-gritty of PDKs—those essential tools that bridge the gap between design and manufacturing. PDK components: Learn about all the PDK's components, different analysis and what goes into ruledecks, and techfiles. PDK development & QA Flow: Overview of how foundry development and QA flows works. EDA Integration: Get a glimpse of how EDA vendors incorporate PDKs into their design flows. Case study: Review and understand PDK using open source PDKs. 🔗 Registration details and the full agenda available on www.dac.com. Let’s geek out together! 🤓 #DAC2024 #SemiconductorDesign #PDKs #EDA #ChipsAndCircuits

20

The PIC64GX! A beautiful 64-bit RISC-V architecture implementation!

3

AI network-accelerated products are designed to enhance network performance by integrating AI-driven processing directly into network hardware. These products utilize AI algorithms to optimize traffic management, improve security, and reduce latency, enabling faster and more efficient data handling across networks. By leveraging AI acceleration, they are particularly valuable in environments requiring high-speed data transfer and real-time decision-making, such as in data centers, cloud computing, and edge networks.

6

𝗜𝘀 𝗶𝘁 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝘁𝗼 𝗵𝗮𝘃𝗲 𝗮 𝗱𝗲𝗲𝗽 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗼𝗳 𝗮𝗻 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗯𝗲𝗳𝗼𝗿𝗲 𝘆𝗼𝘂 𝘄𝗿𝗶𝘁𝗲 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗶𝘁?    When I started developing software solutions for semiconductor fabs, I wasn’t a seasoned software developer—in fact, I learned coding out of necessity on the job. At one large semiconductor fab, I was handed a massive spreadsheet with thousands of records to manage, and I knew there had to be a better way. 💡💡    So I built a tool that automated the process of assigning data across teams and projects, saving countless hours of manual work. It streamlined data management by filtering and matching key information, ensuring that the right data flowed to the right people at the right time. 🛠    I didn’t have formal training in software. I had to teach myself things like Microsoft Access and SQL just to get the job done. I even wiped an entire database by accident once, learning about backups the hard way! 👨🏻‍💻💻    But what drove me was my deep understanding of the inefficiencies on the ground and my desire to fix them. It wasn’t about being a software expert—it was about solving real problems I faced every day in the fab.  ️⚙️    Looking back, my experience working in the fab was invaluable because I understood the pain points. But not being an insider to the software world meant I could approach things differently, without the constraints of “this is how we’ve always done it.”    In the end, I believe that having industry knowledge gave me the insight to see the problems clearly, but my lack of formal software training allowed me to innovate freely. 🚀🚀    What do you think? Is deep industry experience a must when developing solutions, or does being an outsider bring fresh innovation to the table?    #SoftwareDevelopment #Semiconductor #Automation #Innovation #LearningOnTheJob

14