Kuzco Fan

@kuzco-xyz

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23 Followers

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KUZCO has no competitors.

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Kuzco supports many different hardware configurations across Mac, Windows, and Linux. This page provides a list of the most common hardware that Kuzco supports. Minimum System Requirements: A GPU in the list below with at least 16GB of VRAM 16GB RAM 30GB free disk space Reliable 10MB/s network bandwidth For MacOS users, any M-series chip with the above requirements will work. More: https://docs.kuzco.xyz/hardware

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We're off to the races on Epoch 2! We already have 3k devices on the network and have processed over 10B tokens since launch on Monday. We're going to be scaling up network load over the next few days, so expect your point earnings to start climbing.

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https://docs.kuzco.xyz/hardware Kuzco supports many different hardware configurations across Mac, Windows, and Linux. This page provides a list of the most common hardware that Kuzco supports. Minimum System Requirements: 16GB RAM 30GB free disk space Reliable 10MB/s network bandwidth Support device in link.

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https://kuzco.xyz/ warm up your engines

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Network participants can contribute their idle compute power and earn rewards for their contributions.

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Built on the Solana blockchain, Kuzco benefits from its high-performance, low-latency, and cost-effective infrastructure.

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Kuzco – Revolutionizing GPU Usage In a world where global demand for GPUs is growing over 33% annually, around 50% of computational power remains unused. This underutilization affects both GPU owners and developers who need affordable computing resources. Kuzco solves this problem by transforming idle GPUs into a unified distributed network for AI tasks. How it works: GPU devices integrate into the Kuzco network through our specialized software. And most importantly: Kuzco has no competitors. This is a unique approach to building a network that efficiently harnesses global GPU potential and makes technology more accessible.

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Kuzco’s Vision for the Future The AI landscape is evolving, and Kuzco is at the forefront of this change. Our goal is to transform how developers access and use LLM inference, making it simpler, cheaper, and more efficient. Here’s how we’re making it happen: • Unlocking idle GPUs: We’re turning unused global GPU capacity into a powerful distributed network. • Developer-first approach: An OpenAI-compatible API ensures effortless integration, allowing developers to focus on building applications. • Cost efficiency: By aggregating supply and demand, we’re driving down the cost of AI inference for everyone. And here’s what sets us apart: Kuzco has no competitors. We’re building something unique—a network that combines unmatched efficiency with a commitment to developers. Kuzco is not just a platform—it’s a new way of thinking about compute. Together, we’re shaping the future of AI.

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Preparing for Epoch Two! The launch of Epoch Two is scheduled for December 9, 2024, at 12 PM UTC. Kuzco’s network and website are currently undergoing updates to prepare for this next phase. What to expect in Epoch Two: 1. Real-world demand for high-performance and reliable AI inference. 2. Rewards in USDC and $KZO for operators providing stable, high-end hardware. 3. Enhanced support for NVIDIA A100 and H100 GPUs. 4. New features, including image generation and advanced models. 5. Improved documentation and community rewards. 6. Key funding and roadmap announcements next week. This marks a significant step forward in our mission to create a global, distributed AI inference network that rivals traditional providers. Stay tuned for updates as we approach the launch date. For more information, visit kuzco.xyz. Kuzco has no competitors. @samh

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