Nvidia sold half a million H100 AI GPUs in Q3 thanks to Meta, Facebook — lead times stretch up to 52 weeks
Having earned $14.5 billion on datacenter hardware in the third quarter of fiscal 2024, Nvidia clearly sold a boatload of its H100 GPUs...
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RAG-in-a-Box
Our Agent-powered RAG solution accelerates Retrieval-Augmented Generation (RAG) projects by integrating Swarm’s AI Agent (xAPA) with pre-built libraries and tools, enabling seamless development and deployment of RAG applications. Leverage the power of distributed AI clusters for faster, more efficient, and cost-effective RAG development.
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Why choose Swarm’s DLM for RAG?
Swarm's Decentralized Learning Machines (DLM) provide a revolutionary approach to Retrieval-Augmented Generation (RAG), offering unmatched advantages for businesses looking to optimize AI performance while minimizing costs
90% Cost Reduction
Our decentralized network cuts costs drastically, making advanced RAG solutions affordable for businesses of all sizes.
Uncompromising Security
With state-of-the-art encryption, secure enclaves, and decentralized architecture, we ensure maximum security.
Comprehensive RAG Solution
Accessible and efficient, SwarmRAG delivers a complete solution for all your AI needs.
Seamless Data Extraction
Easily extract and process unstructured data from diverse sources and formats.
Advanced Indexing
Leverage cutting-edge chunking and indexing techniques for superior performance and relevance.
LLM Compatibility
Integrate effortlessly with all major Large Language Models for ultimate flexibility
Key Features
Our RAG-in-a-box solution integrates Swarm’s Decentralized Learning Machine (DLM) with pre-built libraries and tools
Cluster Orchestration
Manage workloads across decentralized nodes.
Technology:
K3s
Deployment: Lightweight Kubernetes distribution on all nodes
Security:
mTLS for node
communication, RBAC
for access control
Secure Compute Layer
Protect data in use from node operators
Technology:
Kata Containers
Deployment:
Deploy workloads inside SGX-secured Kata Containers
Security:
Encrypted memory and secure enclave execution
Extract & Transform
Protect data in use from node operators
Technology:
Apache Tika
Deployment:
Serverless function via OpenFaaS
Security:
Run within secure enclave (Kata Container)
Embedding
Generate embeddings for content chunks
Technology:
Hugging Face Sentence Transformers
Deployment:
Serverless function via OpenFaaS
Security:
Secure execution in Intel SGX-enabled containers
Vector Database
Store and search embeddings
Technology:
Weaviate
Deployment:
Deployed with Kubernetes StatefulSets
Security:
Encrypted storage, secure enclave
deployment
Graph Database
Store relationships between entities
Technology:
Neo4j
Deployment:
Deployed with Kubernetes StatefulSets
Security:
Encrypted storage deployed within secure containers
Chunking
Split extracted content into manageable chunks
Technology:
LangChain
Deployment:
Serverless function via OpenFaaS
Security:
Secure execution in Kata Containers
Decentralized Storage
ore documents and large data blobs
Technology:
tIPFS (self-hosted)
Deployment:
Standalone
decentralized nodes
Security:
Encrypted storage with content addressing
Retrieval
Query and retrieve relevant content
Technology:
LangChain + LlamaIndex
Deployment:
Serverless function via OpenFaaS
Security:
OpenFaaS Secure execution in Kata Containers
Monitoring & Logging
Monitor system health and performance
Technology:
Prometheus (monitoring), Grafana (visualization), Loki
(logging)
Deployment:
Deployed on Kubernetes
Security:
Encrypted logs, secure endpoints
Full-Text Database
Full-text search capabilities
Technology:
Elasticsearch
Deployment:
Kubernetes StatefulSet
Security:
TLS for communication, encrypted indices
Data Ingestion & Indexing
Ingest, structure, and index data from various sources
Technology:
LlamaIndex
Deployment:
Serverless function via OpenFaaS
Security:
Secure execution in Kata Containers
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