What if you could rearchitect AI infrastructure to improve efficiency, resilience, and cost? FlexAI is hiring a Principal AI Software Architect to shape our technical strategy for software-defined intent-based AI infrastructure and lead the development of our next-gen full-stack software. Location: Paris or Santa Clara (Hybrid) Apply now: https://lnkd.in/g2zXEcH2 Join us to build the future of AI compute. #FlexAI #Hiring #JobOpening #EngineeringJobs #AI #AIInfrastructure #AIJobs #MachineLearning
关于我们
FlexAI delivers Workload as a Service (WaaS), ensuring AI workloads run optimally—anytime, anywhere. Our intelligent orchestration eliminates inefficiencies by dynamically placing workloads on the best compute without vendor lock-in. With FlexAI, businesses accelerate AI training, fine-tuning, and inference while reducing costs and complexity.
- 网站
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https://www.flex.ai/
FlexAI的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 11-50 人
- 总部
- Paris,?le-de-France
- 类型
- 私人持股
- 创立
- 2023
地点
FlexAI员工
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Michel Courtois
Expert Tech. [email protected]
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April Valenzuela Mason
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Grigori Fursin
Head of R&D Lab @FlexAI co-designing SW&HW for cost-effective AI systems | reproducibility & automation champion @ACM & @MLCommons | ex VP MLOps…
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Mansi B.
Artist. Author. Advocate. Creating connections. Spreading smiles. Practicing presence.
动态
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It was fantastic connecting with many of you at GTC! Exciting to see that innovation hasn’t slowed down and Nvidia continues to accelerate their roadmap to an annual cadence. While this is great for the future of AI, what happens to the current install base? If you’re a CSP or data center operator with underutilized A100, H100, or L-series GPUs, FlexAI’s software-defined infrastructure solution can help you optimize and simplify GPU utilization. Interested? DM us or reach out at www.flex.ai. #GTC2025 #FlexAI #AI #GPU
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What if you could push AI infrastructure to the next level? A single tweak in graph flow or execution can unlock massive performance gains—that’s the magic our AI Runtime team delivers! Join us as a Senior AI Stack Engineer, Features to optimize performance, scalability, and reliability in our AI stack. Stack: Proficiency in Golang, Python, PyTorch, and model deployment is key to success! Location: Santa Clara or Paris (Hybrid) Apply now: https://lnkd.in/g5Yy8XKt #FlexAI #Hiring #JobOpening #EngineeringJobs #AI #AIInfrastructure #AIJobs #MachineLearning
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We are ready! Are you? https://www.flex.ai #GTC #WaaS #AI
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One week until NVIDIA GTC! FlexAI is heading to San Jose. If you are building AI models, agents, or applications, let’s connect. Our team of AI infrastructure experts is available to chat. Email [email protected] or DM Dali Kilani Salam (Sal) Al-mosawi Sundar Balasubramaniam Sébastien URIOS Luke Southwell-Chan to set up time! #GTC2025 #NVIDIA #AI #AcceleratedComputing #DeepLearning #FlexAI #AIInfrastructure
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FlexAI is heading to NVIDIA GTC 2025 We’ll be in San Jose from March 17-21, connecting with partners, customers, and industry leaders to shape the future of AI infrastructure. Attending GTC? Let’s connect. Drop a comment or message us—we’d love to chat. #GTC2025 #AI #AcceleratedComputing #DeepLearning #FlexAI #AIInfrastructure
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?? FlexAI is Hiring in Silicon Valley & Paris! ?? We’re building something exciting at FlexAI, and we need top talent to join us on this journey. If you’re a go-getter who boldly gets things done, a customer-centric thinker who prioritizes customer success, a spirited professional who loves what they do, and a team player who values collaboration—then we want to hear from you! We’re hiring for multiple roles in Silicon Valley and Paris, including: ? Principal Data Scientist ? Principal Software Architect ? Director of Sales ? Principal Product Manager ? Pre-Sales Engineering ? Customer Success ? Engineering Program Manager ? Release Leads and more! Join us in revolutionizing AI computing with groundbreaking solutions that deliver more compute with less complexity. ?? ?? Apply today: careers.flex.ai ?? Know someone perfect for these roles or for the startup ecosystem? Tag them in the comments!? #WeAreHiring #AIJobs #TechJobs #FlexAI
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We mentioned this trend last year, and it continues to hold true: venture capitalists, companies, and countries are investing heavily in the large-scale development of AI systems. Now, Satya Nadella agrees with us! Although capacity challenges are easing, we still face issues with under-utilization, complexity, and high failure rates that hinder the industry. If you want to experience an improved AI system, reach out to us at [email protected]. https://lnkd.in/gcB8BfTp
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FlexAI?is committed to fostering innovation and standardization in the industry to promote the sustainable adoption of machine learning tools. As a proud member of?MLCommons,?we are excited to contribute to the collaborative development of the?#MLPerf?Power benchmark. This initiative aims to drive sustainable AI by providing a standardized framework for measuring and comparing the energy efficiency of machine learning systems across various hardware platforms. The interactions between system components are becoming increasingly complex as large-scale clusters are deployed daily. This emphasizes the importance of measuring and optimizing energy efficiency at the system level. Our focus is on capturing the dynamic relationships among all components and accurately reflecting the true energy costs associated with running machine learning workloads in real-world scenarios. The arXiv paper presents the first comprehensive large-scale study of ML system energy efficiency, examining longitudinal trends across multiple generations of MLPerf and offering actionable insights into energy optimization techniques. These findings underscore the critical importance of energy efficiency as a key metric in ML system design and lay the foundation for creating more sustainable machine learning systems. Congratulations Grigori Fursin for getting your first paper published as part of FlexAI!
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FlexAI welcomes Abhi Ram as our Head of Product! Abhi is a product, technology, and business strategy leader with over 2.5 decades of experience leading digital transformation for companies like Cognite, Intel, IBM, Olam, Amazon, and Amazon Web Services (AWS). He has advanced the development of digital products and services on SaaS, data and AI, Code to Cloud, mobile, web applications, and IoT platforms for supply chain, healthcare, FinTech, and e-commerce.
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