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DALL·E 2024-09-08 13.13.47 - A sleek and futuristic depiction of decentralized AI clusters

How it works
for GPU Providers

Swarm xAPS allows GPU providers to seamlessly join decentralized clusters, automatically forming AI-optimized superclusters to accelerate distributed computing and maximize efficiency

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Decentralized Learning Machine

Unlocking Massive High-Performance Compute

Swarm’s Xtreme AI Processing System (xAPS) transforms widely available consumer-grade GPUs, like NVIDIA RTX and L4, into a powerful AI-accelerated cluster. Leveraging our proprietary platform, which features Extreme Model/Data Parallelism (XMP), Confidential Computing, and open-source tools, DLM delivers performance comparable to high-performance data center GPUs, such as NVIDIA’s H100 and H200

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Our Core Solution

xTreme AI Processing Agent (xAPA)

Autonomous AI agent purpose-built to optimize, scale, and manage decentralized GPU compute. It leverages machine learning for dynamic resource allocation and predictive workload adaptation, significantly reducing operational costs while enhancing performance. xAPA enables efficient GPU compute management without human intervention

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Swarm
xTreme AI Processing System (xAPS)

Swarm’s xAPS is an edge AI compute agent that transforms consumer-grade GPUs like NVIDIA RTX and L4 into high-performance AI systems. With advanced acceleration, confidential computing, parallelism, and auto-scaling, xAPS offers a powerful and accessible alternative to traditional AI infrastructure.

Edge AI Compute Agent

xAPS: Key Capabilities

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Self-Assembling Clusters:
Automatically link with nearby nodes to create dynamic, shared compute resources.

Confidential Computing Security:
Safeguard sessions and data with advanced confidential computing, ensuring top-tier protection.

Distributed AI Training (DisTrO):
Participate in and process parallelized AI model training, maximizing efficiency across distributed nodes.

Decentralized Data Processing:
Harness decentralized nodes to handle large-scale data processing with seamless scalability and reliability​

DALL·E 2024-08-27 18.23.58 - A sleek and secure-themed illustration representing confident

DLM Confidential Computing for Security

Swarm’s Decentralized Learning Machines (DLM) integrate Confidential Computing to deliver unmatched security for AI workloads, ensuring that operations remain private, protected from threats, and fully encrypted throughout processing. This gives businesses the confidence to harness the power of decentralized infrastructure while maintaining the highest levels of data security and privacy.

With Confidential Computing, Swarm DLM offers:

  • End-to-End Encryption: Secure all stages of data processing, from input to output.

  • Tamper-Resistant Environments: Prevent unauthorized access or modifications to sensitive data.

  • Decentralized Data Privacy: Maintain privacy even in distributed networks, ensuring compliance with stringent security standards.

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Node-Join

Transform Your GPU into a Powerful Decentralized Learning Machine (DLM)

If you're a GPU compute provider, effortlessly join Swarm’s Decentralized Cluster for AI acceleration. By doing so, you become part of a powerful Decentralized Learning Machine capable of handling distributed training and other compute-intensive workloads. Once you join, your compute resources automatically connect with similar nodes, forming superclusters that maximize performance and efficiency.

Transform your GPU

to Decentralized Learning Machine (DLM)

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