MinIO AIStor extends the most sophisticated object store on the market. It is designed for the exascale data infrastructure challenges presented by modern AI workloads. AIStor provides new features, along with performance and scalability improvements, to enable enterprises to store all AI data in one infrastructure.
MinIO AIStor contains every component required to run large scale data infrastructure to support AI workloads.
It is built for the world where everything matters - performance, security,
scalability, stability and support. Here are the features and components
that define the AIStor experience.
Active-Active, Multi-Site Replication for Object Storage is a key requirement for mission-critical production environments. MinIO is the only vendor that offers it today. MinIO offers bucket-level granularity and supports both synchronous and near-synchronous replication depending on the architectural choices and rate of change with the data.
In the world of object storage, strong encryption is required just to get a seat at the table. MinIO delivers more with the highest level of encryption alongside extensive optimizations that all but eliminate the overhead typically associated with storage encryption operations.
Protecting data from deletion (accidental or intentional) is a key compliance component that touches every industry. MinIO supports a complete range of functionality including object locking, retention, legal holds, governance, and compliance. MinIO’s bucket and object immutability is Veeam certified and validated by Cohasset Partners for use under SEC Rule 17a-4(f), FINRA Rule 4511, and CFTC Regulation 1.31.
MinIO IAM is built with AWS Identity and Access Management (IAM) compatibility at its core and presents that framework to applications and users no matter the environment - providing the same functionality across varying public clouds, private clouds and the edge. MinIO extends AWS IAM compatibility with support for popular external identity providers such as ActiveDirectory/LDAP, Okta and Keycloak, allowing administrators to offload identity management to their organization’s preferred SSO solution.
As data continues to grow, the ability to co-optimize for access, security and economics becomes a hard requirement, not a nice-to-have. This is the role of lifecycle data management. MinIO offers a unique suite of features to protect data within and across clouds - both public and private.
MinIO's enterprise data lifecycle management tools, including versioning, object locking and the various derivative components, satisfying multiple use cases.
MinIO object versioning allows the retention of multiple iterations of the same object within a single bucket. When versioning is enabled, operations that would typically overwrite an existing object, such as PUT requests, instead generate a new version of the object, each assigned a unique version ID. This feature is pivotal in preventing accidental overwrites or deletions, essentially offering an "undo" capability for write operations.
MinIO’s Key Management Server (KMS) is a highly available, operationally simple, KMS implementation.
The KMS solves the specific problem of dealing with billions of cryptographic keys that are required for per object encryption.
MinIO's KMS has the ability to deliver predictable behavior, even at the scale of hundreds of thousands of cryptographic operations per node per second while delivering high availability and fault tolerance. It supports multi-tenancy enabling each tenant to be assigned its own enclave which is completely independent and isolated from all other enclaves on the KMS cluster.
MinIO's Global Console serves as a single pane of glass for all the organization's instances of MinIO including public clouds, private clouds, edge and colo instances.
This enables customers of MinIO to manage (deploy, configure, upgrade and monitor) large scale, technologically and geographically diverse storage infrastructure from a single, intuitive location.
The MinIO Catalog feature solves the problem of object storage namespace and metadata search. Using catalog, operators can index, organize and search a vast number of objects using the familiar and blazingly fast GraphQL interface.
It allows administrators to know exactly what is going on with their data for any number of governance, audit, compliance or related tasks - all in real-time.
The MinIO Firewall feature is purpose-built for the data. Unlike traditional firewalls which are IP based or application oriented, the MinIO Firewall is designed for the scale of an object store with the awareness of S3 to facilitate rules that make sense for the enterprise administrator from TLS termination, load balancing, access control and QOS capabilities at object level granularity.
The MinIO Cache feature operates as a caching service that uses server DRAM memory to create a distributed shared cache for ultra high performance workloads. Purpose-built for MinIO object storage - applications requesting objects don’t have to do anything, it will just work once enabled or configured providing full data persistence.
MinIO’s Observability suite is a complete, data infrastructure-centric collection of metrics, audit logs, error logs and traces. This allows administrators to view all system components (OS, CPU, memory, drives, network) across every instance, cluster and erasure code set.
With object-level granularity and awareness of the entire hardware stack, it delivers mission-critical information to those who need to keep the world running smoothly.
S3 compatibility is a hard requirement for cloud-native applications. MinIO is unyielding in its adherence to the API and with tens of thousands of users - both commercial and community - MinIO’s S3 implementation is the most widely tested and implemented alternative to AWS S3 in the world.
One of the earliest adopters of the S3 API (both V2 and V4) and one of the only storage companies to focus exclusively on S3, MinIO’s massive community ensures that no other AWS alternative is more compatible. MinIO is also one of the few companies to support S3 Select.
The promptObject API enables users to “talk” to unstructured objects in the same way one would engage an LLM moving the storage world from a PUT and GET paradigm to a PUT and PROMPT paradigm. Applications can use promptObject through function calling with additional logic. This can be combined with chained functions with multiple objects addressed at the same time.
This means that application developers can exponentially expand the capabilities of their applications without requiring domain-specific knowledge of RAG models or vector databases. This will dramatically simplify AI application development while simultaneously making it more powerful.
A private Hugging Face, API compatible repository for storing AI models and datasets directly in AIStor, enabling enterprises to create their own data and model repositories on the private cloud or in air-gapped environments without changing a single line of code. This eliminates the risk of developers leaking sensitive data sets or models.
Support for S3 over Remote Direct Memory Access (RDMA): enables customers to take full advantage of their high-speed (400GbE, 800GbE, and beyond) Ethernet investments for S3 object access by leveraging RDMA’s low-latency, high-throughput capabilities, and provides performance gains required to keep the compute layer fully utilized while reducing CPU utilization.
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