Nick Evans

Learn how the NVIDIA GH200 NVL32 delivers world-class time-to-first token for long-context Llama 3.1 70B and 405B #inference.

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Learn how the NVIDIA GH200 NVL32 delivers world-class time-to-first token for long-context Llama 3.1 70B and 405B #inference.

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Exciting times ahead as Qualcomm takes a giant leap in India's #5G revolution with the launch of the #Snapdragon 4s Gen 2 Mobile Platform. This innovation is set to redefine connectivity, making 5G accessible to billions and empowering a new era of technological excellence. As we embrace this ground-breaking development, let's gear up for a transformative journey towards a more connected and technologically advanced India. #Innovation #Technology #Connectivity #Qualcomm #IOT.

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Explore how #OpenUSD is enhancing autonomous vehicle workflows in this #SIGGRAPH2024 session. https://dy.si/HqbMG

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Looking to offload SYCL code to multiple GPUs? This step-by-step guide covers debugging applications that use Message Passing Interface (MPI) and GPU offload simultaneously with the Intel Distribution for GDB. #IAmIntel https://bit.ly/4dYb2ji

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The blog emphasizes accuracy in #AI applications, further optimizations based on customer needs, the role of HEYINTELLIGENCE, and the use of kernel optimization techniques. #TogetherWeAdvance https://lnkd.in/gEwKhbrY

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Dive into how KV cache early reuse, fine-grained blocks, and efficient eviction algorithms can supercharge TTFT speeds. Efficient KV cache use is key to improving model response, speeding up inference, and maximizing throughput. With TensorRT-LLM's advanced KV cache management features, developers can take inference performance to the next level.

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✨ Get over 3x perf improvement for #LLM throughput - TensorRT-LLM Multiblock Attention on NVIDIA HGX H200 boosts long-sequence performance without impacting time-to-first-token. Read how ➡️

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Would you believe Jensen Huang of NVIDIA has 60 direct reports? Because he believes that : "your contribution to the work should not be based on the privileged access to information!" and "when you give everybody equal access to information it empowers people." Imagine removing 7 layers in the hierarchy of an organization: improving communication and decision-making, and allowing for more direct interaction between the CEO and a broader group of leaders. This ensures crucial information is not lost or distorted through multiple layers of management. I stumbled on this hour-long keynote that Patrick Collison of Stripe hosted and learned some unconventional yet powerful leadership insights: 𝗗𝗶𝘀𝗰𝗼𝘂𝗿𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗼𝗳 𝗢𝗻𝗲-𝗼𝗻-𝗢𝗻𝗲 𝗠𝗲𝗲𝘁𝗶𝗻𝗴𝘀: Promotes transparency and collective problem-solving. 𝗚𝗿𝗼𝘂𝗽 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸: Fosters a culture of continuous improvement and shared knowledge, leveraging collective wisdom to solve problems more effectively. 𝗜𝗻𝘃𝗲𝘀𝘁𝗶𝗻𝗴 𝗶𝗻 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀: Jensen focuses on helping employees reach their potential rather than dismissing them for their shortcomings. 𝗧𝗼𝗿𝘁𝘂𝗿𝗶𝗻𝗴 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀 𝗶𝗻𝘁𝗼 𝗚𝗿𝗲𝗮𝘁𝗻𝗲𝘀𝘀: Setting high standards and continuously challenging employees to exceed them. True greatness comes from enduring challenges and learning from them. His leadership style is characterized by a commitment to transparency, collective learning, and continuous improvement, creating a high-performing culture at Nvidia. Check out the link to the video in the first comment—it’s well worth the watch this weekend! Hop in and listen in High #wisdompersentence Being conventional is not the best practice. PS Here is one quote that left me wondering "People misunderstand that the best jobs are the ones that bring happiness all the time. You have to suffer, struggle, endeavour, do those hard things and work through it to appreciate what you have done!" Let me know what resonated best with you in the comments below. #Leadership #Innovation #Management #TeamSuccess

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𝗠𝗣𝗦 𝗕𝗨𝗬𝗦 𝗗𝗨𝗧𝗖𝗛 𝗔𝗨𝗗𝗜𝗢 𝗗𝗦𝗣 𝗗𝗘𝗦𝗜𝗚𝗡𝗘𝗥 𝗔𝗫𝗜𝗚𝗡 Key Points: 🚀 Monolithic Power Systems, Inc. (MPS) acquires Axign BV in the Netherlands, a leader in digital signal processing (DSP) for audio applications. 🔊 Axign specializes in programmable multicore DSP for audio processors, delivering near-zero distortion signals with significantly reduced power consumption. 🎶 Their technology complements MPS's power designs, particularly benefiting automotive and consumer audio systems. 💡 Axign's architecture ensures accurate audio reproduction while minimizing power consumption, overcoming trade-offs seen in traditional Class-D audio amplifiers. 🌡️ Key benefits include extremely low idle losses, crucial for maintaining cool temperatures in compact devices like Bluetooth speakers and soundbars. 🔄 Their Zero Common Mode modulation eliminates ripple current, reducing thermal issues and enabling more output power without additional cooling mechanisms. 👂 Michael Hsing, CEO of MPS, is excited to bring audiophile-grade performance to the mass market, aligning with MPS's commitment to excellence and innovation. #semiconductors #acquisition #audio https://lnkd.in/dPEFcEgx

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AVIF, or AV1 Image File Format, is a modern image format designed to provide high compression efficiency while maintaining good image quality. It is based on the AV1 video codec, which aims to offer better compression than older formats like JPEG and PNG. AVIF supports features like high dynamic range (HDR), wide color gamuts, and alpha transparency. It is increasingly being adopted for its ability to deliver high-quality images at smaller file sizes compared to traditional formats. #SEO #Digitalmarketing #AVIF #AV1 Subhash Mangalam krishna priya Ragini Vattikuti Rafi Syed Naresh Gaddam Gayathri Bokkisam Online Digital Marketing Training (ODMT)

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Check out how NVIDIA and our partners are advancing #OpenUSD as the data ecosystem for industrial #DigitalTwins and the next era of AI in this session at #SIGGRAPH2024. https://dy.si/jcH35

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𝗔𝗠𝗗 𝗔𝗖𝗤𝗨𝗜𝗥𝗘𝗦 𝗦𝗜𝗟𝗢 𝗔𝗜 𝗙𝗢𝗥 $𝟲𝟲𝟱 𝗠𝗜𝗟𝗟𝗜𝗢𝗡 ➡ AMD announced its acquisition of Finnish AI startup Silo AI to boost its AI chip capabilities. ➡ Strategic Move to Compete with Nvidia: The acquisition aims to enhance AMD's position against industry leader Nvidia in the AI chip market. ➡ Enhanced AI Model Development: Silo AI's expertise will aid in the development and deployment of AMD-powered AI models, assisting customers in building complex AI models. ➡ Strengthening Software Development: The acquisition will bolster AMD's software development capabilities. ➡ Significant Future Business Potential: While the deal won't impact immediate financial performance, it promises substantial future business opportunities, according to AMD's Senior VP of AI, Vamsi Boppana. ➡ Silo AI's Continued Leadership: Silo AI's CEO, Peter Sarlin, will continue to lead the unit within the AMD Artificial Intelligence Group. ➡ Global Reach and Customer Base: Helsinki-based Silo AI, with operations in Europe and North America, serves major companies like Philips, Rolls-Royce, and Unilever. ➡ Closing Expected in H2 2024: The acquisition is anticipated to finalize in the second half of 2024. ➡ Ongoing AI Investments by AMD: This acquisition follows AMD's recent purchases of AI software firms Mipsology and Nod.ai and over $125 million in investments in AI companies over the past year. #semiconductors #ai #amd https://lnkd.in/eQyiKhtX

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The age of the AI PC is here! Discover how OpenAI’s Triton framework—a domain-specific language and compiler—simplifies deep learning kernel development for efficient GPU code on today’s AI PCs. #IAmIntel https://bit.ly/3N2985n

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