AIStor

Moving your Iceberg catalog to MinIO AIStor no longer means re-registering tables by hand. The mc table migrate command reads metadata from your existing catalog, whether that's Nessie, Polaris, Hive Metastore, AWS Glue, or a SQL-backed catalog, and registers your tables directly in AIStor's built-in Iceberg REST catalog. Your Parquet files stay where they are.

MinIO joins the Databricks Software-Defined Storage Ecosystem. Live, zero-copy access to on-premises data.

MinIO AIStor joins ClickHouse House Mates as a validated, trusted storage partner for ClickHouse Private deployments. AIStor gives ClickHouse the high-performance, fully S3-compatible object storage layer it needs to scale without limits.

Until recently, data that stayed on-premises was data that Databricks couldn't reach. If your analytics and AI workloads ran in Databricks, and your most valuable data lived on-prem, you had two options: build and maintain a replication pipeline to copy data into the cloud, or accept that certain datasets simply wouldn't participate in your cloud analytics.Both options carry real costs. But a third option now exists: Databricks querying on-premises data directly, with no copies and no pipelines, through the open Delta Sharing protocol embedded natively in MinIO AIStor.

Databricks needs your on-prem data. AIStor Table Sharing delivers it live — no replication, no pipelines.

Modern AI architecture rests on a comfortable assumption: when AI slows down, the fix is more compute or a better model. Bigger GPUs. Denser clusters. New architectures. That assumption is now costing organizations real money.

Storage, not models or compute, is now AI's biggest bottleneck. The fix is an architectural one, not a bigger GPU.

106 million vectors indexed 12x faster. AIStor with NVIDIA cuVS and GPUDirect RDMA rewrites the benchmark.

Legacy storage talks to the AI factory. AIStor lives inside it — running natively on NVIDIA BlueField-4 Vera

Delta Sharing + AIStor enables zero-copy access to on-prem data from Databricks without duplication

Table Sharing connects Databricks directly to on-prem AIStor data via Delta Sharing without copying/syncing

Technical comparison detailing 13,000+ commits separating AIStor from unmaintained OSS

Announcing AIStor Free, Enterprise Lite, and Enterprise subscription options

Why "Awardable" matters for gov agencies—MinIO AIStor validated in CDAO Tradewinds for federal AI infrastructure

Former Intel Capital exec Ran Kurup joins MinIO as CCDO—lead strategic growth in AI infrastructure era

Solve sovereign AI challenges for government—on-prem infrastructure ensures secure, compliant AI under national control

Iceberg as foundation for enterprise AI—Tables native in AIStor unifies structured/unstructured data for agentic AI readiness

Native Iceberg Catalog REST API implementation with warehouse-namespace-table hierarchy

AIStor on Supermicro pre-integrated pods—turnkey private cloud AI infrastructure via Arrow Electronics partnership

Liberating data enables government agencies to modernize storage, cut hidden costs, and unlock mission-driven insights. By strategically curating, archiving, and aligning data with AI-driven priorities, agencies improve efficiency, compliance, and decision-making while preparing for the future.

S3 Express One Zone high-speed API support added to AIStor for low-latency operations

Real-time data pipeline with AIStor—stream processing architecture for low-latency analytics & operational intelligence

MCP server how it works—Model Context Protocol translates natural language to SDK calls for AIStor management

On-prem Iceberg case: Cost control & performance—avoid cloud bills, maintain sovereignty, deliver 2.2 TiB/s throughput