Built for Workloads That Don't Fit Anywhere Else
The limiting factor for frontier AI isn't compute—it's memory. Context windows are growing from thousands to millions of tokens. Models are scaling past trillions of parameters. Agentic workflows demand persistent state. Titan puts an unprecedented amount of high-bandwidth memory in a single air-cooled system.
Multi-Trillion Parameter Models
Run multi trillion parameter models entirely in the memory of a single chip, or scale performance by distributing over multiple chips within one or over multiple servers without the complexity and latency of offloading to storage. Titan makes the 2030 class of frontier-scale models possible in 2027.
Million-Token Context Windows
Support context windows of 10 million tokens and beyond. Agentic workflows, document understanding, and long-form reasoning all require persistent state—Titan provides it.
Next-Generation Video and Multimodal
Video models are the next frontier, but they demand massive memory bandwidth and capacity. Titan is built for workloads that don't fit anywhere else.
Seamless Scale-Out
From a single 8TB system to 100TB+ at rack scale and beyond. The same software, the same APIs, the same architecture—just more capacity. No redesign required as your needs grow.
At the heart of every Titan system are four Asimov chips—our custom silicon designed from first principles for memory-bound AI inference. Each chip delivers over 2TB of high-bandwidth memory, enabling Titan's unprecedented capacity.
Learn about Asimov