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. With WEKA you can optimize for low-cost token generation, potentially cutting costs by up to 30x.
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. This means you can reduce AI inference latency by up to 40x, allowing more tokens per second with fewer compute resources.
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
