VK Tech Reduces VK Data Platform Infrastructure Requirements 2.5× for AI Deployments
VK AI
VK Tech announced on June 11 that infrastructure resource requirements for deploying VK Data Platform in a fault-tolerant on-premise configuration have been reduced by 2.5 times. The platform uses a Data Lakehouse architecture (Apache Iceberg over S3-compatible storage) separating storage from compute, with tiered HDD storage potentially cutting costs up to 10× versus all-SSD setups. The update targets companies building data pipelines for AI agents, RAG, ML, and BI workloads.
Why it matters
Lowering the hardware barrier to enterprise data infrastructure reduces the entry cost for Russian companies deploying AI agents and RAG pipelines on their own premises.
Importance: 1/5
Incremental infra improvement for Russian on-premise AI market