Who is Andrew Feldman?

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Andrew Feldman: Redefining AI Leadership through Scalable Innovation and Technical Clarity

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Andrew Feldman is the founder and CEO of Cerebras Systems, the company behind the CS-3, the world’s fastest AI supercomputer. He leads the development of wafer-scale chip architecture, enabling training of massive language models on a single device. His work directly addresses the hardware limitations of generative AI at scale. Cerebras stands out for building full-stack systems purpose-built for deep learning workloads.

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Before Cerebras, Feldman founded SeaMicro, where he created energy-efficient servers using custom interconnect fabric—an innovation that led to its acquisition by AMD. His background combines technical hardware design with deep expertise in systems-level architecture. This rare blend allows him to guide engineering teams that solve bottlenecks in AI compute infrastructure. He focuses on accelerating AI for scientific, defense, and enterprise deployments.

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Feldman’s leadership is visible in his work with institutions like Argonne National Laboratory, NVIDIA, and OpenAI partners. Under his direction, Cerebras has trained GPT-class models on a single CS-2, a feat no other system has replicated. He uses social channels to share results from real-world deployments, including breakthroughs in model speed, energy use, and scale. His updates often link directly to technical benchmarks and deployment summaries.

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Rather than promoting company culture or soft branding, Feldman communicates like a systems engineer—each post centers on architecture, latency, or throughput. He avoids opinion and focuses on measurable outcomes. His credibility stems from building infrastructure that shifts how AI is run in production. His approach has made Cerebras one of the most closely watched players in AI hardware innovation.

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An Influencer Active on LinkedIn

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Andrew Feldman is active on LinkedIn, where he shares frequent updates focused on AI infrastructure milestones, chip architecture innovation, and institutional partnerships in the AI sector.

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Andrew's Social Media Strategy Analysis

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LinkedIn: Scaling Credibility Through Technical Proof and Industry Validation

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Andrew Feldman’s LinkedIn strategy is rooted in frequency and technical focus—he posts nearly every day with detailed updates on Cerebras’ work. His content highlights specific AI breakthroughs, such as running GPT-class models on a single CS-3 or optimizing inference speed through wafer-scale integration. He avoids general AI hype, instead sharing performance charts, deployment stats, and direct photos from engineering teams. Every post is positioned as an update from inside the development process, not a promotional wrap-up.

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Unlike typical founders who balance personal branding and business updates, Feldman concentrates on product results and strategic partnerships. He references collaborations with Lawrence Livermore National Laboratory, NVIDIA, and Meta AI, and often includes metrics on compute efficiency or model throughput. His tone is factual and execution-focused, emphasizing what Cerebras has done—not what it plans to do. This makes his feed highly relevant to CTOs, hardware engineers, and AI researchers.

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Visuals are always purposeful—factory floor images, chip architecture diagrams, and live conference interactions with partners like Intel and Zoom. These aren’t stock visuals; they provide evidence of deployment and performance in real environments. His posts avoid emojis, humor, or vague calls to action—he sticks to content that reflects his builder-first role. His comments section often includes responses from researchers and engineers, not casual readers or lifestyle audiences.

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Feldman’s posting rate is among the highest in his category: 26 posts per month at 11 PM EST, resulting in a growth rate of +16.06% in 30 days. He has 20.1K followers and averages 61.8K views and 264 engagements per post. With a 1.31% engagement rate and a Favikon Influence Score of 96.3/100, his performance proves that niche, technical content can drive influence without entertainment or trend-chasing.

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• Username: @andrewdfeldman
• Influence Score: 96.3/100
• Followers: 20.1K
• Activity: 26 posts/month
• Engagement Rate: 1.31%
• Growth (30 days): +16.06% (+2.9K)
• Average Engagement: 264
• Posting Habits: Every day at 11 PM EST

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Andrew Feldman's Social Media Influence Summary

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Andrew Feldman holds a Favikon Influence Score of 7,011 points and ranks in the top 1% of LinkedIn creators in the U.S. His technical specificity and consistency place him at #182 for LinkedIn U.S. and #665 globally. In the Technology & Innovation category, he ranks in the top 3% in both the U.S. and globally (#146 and #1069 respectively), reinforcing his niche authority.

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Learn more about the Favikon Methodology here

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Content Strategy: Precision Over Promotion

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Feldman’s content strategy avoids generalism. He does not share motivational quotes, hiring updates, or market speculation. Every post either presents new performance data, announces a scientific collaboration, or challenges a bottleneck in AI hardware. He treats LinkedIn like a mission log—concise, high-frequency, and directly tied to technical progress.

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Reachability and Partnerships

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Andrew Feldman is directly reachable through Cerebras Systems, where he is frequently tagged in official updates highlighting product launches, research collaborations, and deployment milestones. With 29 tag mentions from the Cerebras account, his profile is integrated into the company’s communication pipeline. He regularly appears in posts featuring partnerships with NVIDIA, Meta AI, and IBM, signaling active involvement at both executive and technical levels. His visibility is tied to high-performance compute events, not general commentary.

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His network map includes connections with figures like Alan Chhabra (Cerebras EVP) and institutions such as Lawrence Livermore National Lab and OpenAI-affiliated teams. Feldman engages in niche tech summits like the AI CEO Summit, where he shares insights directly with CTOs and founders. He’s also mentioned by Kisaco Research and often featured in cross-tagged content with companies leading in infrastructure AI. These touchpoints reflect a reach that’s deep in technical circles and driven by delivery rather than public relations.

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Conclusion: Driving the Future of AI Through Engineering Precision and Scalable Compute

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Andrew Feldman is a technical founder who leads by example—through execution, data, and clarity. His social media presence is built around high-frequency updates that showcase Cerebras’ unique contribution to AI compute. With top-tier LinkedIn rankings and consistent engagement from engineers and researchers, Feldman’s voice is one of credibility, not commentary. In the growing world of AI infrastructure, he remains a decisive and well-regarded authority.

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