OscuroAi.com
Oscuro AI
NextGen FPGA-Based AI Acceleration
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The Strategic Foundation for Industry-Leading AI and Web3 Investments
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In today’s fiercely competitive AI and data economy, acceleration isn’t a luxury, it’s a strategic need. Yet, investing millions in AI capabilities delivers minimal return if your storage infrastructure remains stuck in outdated technology, overburdened with licensing costs, and non performant.
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Oscuro AI empowers investors, enterprises and executives to realize the full value of AI investments by fundamentally transforming data infrastructure. Our proprietary FPGA-based NVMe-over-Ethernet architecture dismantles critical data bottlenecks—drastically enhancing throughput, dropping latency to microseconds, and maximizing compute efficiency.
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This foundational technology accelerates model training, inference, and analytics workflows while sharply reducing total cost of ownership (TCO) cutting power and cooling expenses by up to 40%.
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For executives, this means faster time to market, scalable performance aligned to business growth, and predictable operational costs that protect margins. Oscuro AI not only transforms latency into productivity but turns your data infrastructure into a sustainable, competitive advantage across AI, Web3, finance, healthcare, telecommunications, and more.
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Oscuro AI is your trusted infrastructure partner to unlock breakthrough ROI and future-proof your AI strategy empowering your portfolio companies and business units with the next wave of market differentiation.
Oscuro AI Supports Advanced AI Architecture:
Distributed Training:
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Modern AI models often rely on distributed training across multiple GPUs or even multiple servers. FPGA's paired with NVMe drives facilitate high-speed data transfer between nodes in a distributed training setup, enabling faster model convergence and improved scalability.
Large Language Models:
Training and running large language models (LLMs) like GPT-3 requires massive amounts of data and significant computational power. FPGA acceleration provides the necessary bandwidth and low latency to handle the demanding I/O requirements of these models.
Enabling New AI Applications:
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Real-time AI: Real-time AI applications that require low latency, such as autonomous driving, robotics, and real-time fraud detection will require acceleration through the stack, with storage remaining critical for these operations.
AI at the Edge:
As AI moves closer to the edge, enabling high-performance computing and storage on edge devices will be not only the catalyst, but the foundation of intelligent cities.
FPGA-based acceleration enables AI research by enabling faster experimentation with different model architectures, hyperparameters, and datasets. This allows researchers to iterate more quickly and push the boundaries of AI capabilities.
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Collaboration
Partnerships for Progress
Collaboration is key to our success.
By partnering with industry leaders and academic experts, we foster a collaborative environment that accelerates AI innovation and knowledge sharing.
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Oscuro technology will be made available to University students across Puerto Rico free of charge when our Data center operations commence. OAI will ensure Puerto Rico students work on the most advanced architecture available commercially, and will work collaboratively in support of student innovation efforts in Puerto Rico.
Oscuro believes good AI creates opportunity for all.