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 GPU-optimized architecture enables token processing at microsecond latencies, removing traditional bottlenecks and enabling high-speed data streaming.
WEKA’s Augmented Memory Grid: Enabling the Token Warehouse for AI Inference
WEKA Augmented Memory Grid™ extends GPU memory into petabytes, eliminating the bottlenecks of traditional DRAM and delivering ultra-low latency token recall. AI models can instantly access and reuse precomputed token embeddings, dramatically improving inference speed and efficiency. WEKA Augmented Memory Grid is a revolutionary approach to AI inference that enables scalable, high-performance token storage and retrieval across massive workloads.
Interested in learning more?
“We are excited to leverage WEKA Augmented Memory Grid capability to reduce the time involved in prompt caching and improve the flexibility of leveraging this cache across multiple nodes—reducing latency and benefitting the more than 500,000 AI developers building on Together AI.”
Dive a little deeper
