DragonLayer.AI
Optimisation Protocol for AI Computation Network
Building LLM Cheaper & Faster
Revolutionize AI computation by offering faster LLM training and inference at a fraction of the current cost. Market fragmentation and inefficiencies in existing GPU leasing services have led to escalating prices and suboptimal performance. Dragonlayer seeks to address these challenges by optimizing AI stacks and maximizing GPU utilization, ultimately delivering unparalleled speed and affordability to consumers.
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The current GPU leasing market
suffers from several key challenges
Problem
Market Fragmentation
Numerous GPU leasing service providers, coupled with intermediaries, inflate prices without adding significant value to consumers.
Problem
Low Performance and Utilization
Existing GPU cloud services often lack optimization expertise, leading to underutilized hardware and higher costs.
Problem
Rising Costs
Escalating GPU costs drive providers to demand higher utilization rates, exacerbating the expense for consumers.
Optimisation Protocol for
AI Computation
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Train AI
Stack Easily
Dragonlayer offers LLM training and inference optimization, achieving 30% faster training and the lowest inference costs in the market ($0.49/1M tokens).
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GPU Utilization
Optimization
Through serverless architecture and global scheduling, Dragonlayer maximizes GPU utilization, achieving up to 40% efficiency gains.
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Marketplace
Efficiency
Dragonlayer's marketplace generates
profits, with 33% of every trade
contributing to the protocol's
sustainability and growth.