Maximize AI
Token Efficiency
The WEKA Data Platform delivers low-cost token generation with microsecond latency. See how.
The New Economics of AI: 

Are You Overpaying for Performance?
The economics of token processing are emerging as a decisive factor in infrastructure selection. Affordable solutions that can reduce costs on token generation will directly impact scalability and adoption.Â
Optimize for low-cost token generation
AI workflows are constrained by three forces: cost, latency, and accuracy. Historically, improving one means sacrificing another, but infrastructure efficiencies – like reducing your memory dependency while ensuring accuracy – can break this cycle.
Reduce latency for AI inference
Every millisecond saved in AI token inference translates to efficiency gains and reduced infrastructure overhead. WEKA’s GPU-optimized architecture enables token processing at microsecond latencies, removing traditional bottlenecks and enabling high-speed data streaming.
Scale tokens beyond memory limitations & cost
By optimizing the handling of both input and output tokens, WEKA enables LLMs and large reasoning models (LRMs) to treat high-speed storage as an adjacent tier of memory, achieving DRAM performance with petabyte-scale capacity. This shift allows businesses to scale their AI applications cost-effectively all while maintaining high levels of efficiency and accuracy.
Interested in learning more?
“Inferencing at scale often demands high-speed data access and low latency … by simplifying data management, WEKA helps to reduce costs, save time, and focus on delivering faster, more accurate AI insights.”
Dive a little deeper
