Lower Cost per Token for AI Clouds

GPU utilization

Keep GPUs serving instead of waiting. A persistent KV cache tier cuts repeated prefill, and high-throughput, low-latency block access keeps data arriving as fast as the GPU can use it.

Cost per token

Up to 5× better cost per token with a Silk KV cache tier.² Serve more tokens from the GPUs you already own, and stop paying for storage you don't need. Scale performance and capacity independently, up and down, as demand moves.

Energy

Every prefill you do not recompute is GPU power you do not spend. Zero-footprint copies, compression, deduplication and right-sized storage mean less hardware drawing power in the rack.

Performance and Efficiency on One Platform

You don't have to trade one for the other.

The performance lever

Get more output from the most expensive asset in your data center.

Persistent KV cache reuse instead of recomputed prefill
More concurrent sessions and longer contexts per GPU
35.6 GB/s and 1.2M+ IOPS measured from a single client¹

The efficiency lever

Spend only on the data infrastructure your tenants actually use.

Dynamic scaling: add or remove performance without moving data
Instant, zero-footprint copies instead of full duplicates
No sizing for peak, no idle capacity bought just in case
Inline compression and deduplication cut the capacity you pay for

Lower Cost per Token Starts With the Data Layer

The Real Cost Is a GPU Waiting

The Tokenomics Equation