Inside the AI-Native WEKA Data Platform
High-performance data pipelines are powering innovation by leveraging large data sets for rapid access to insights and faster decision-making.
A revolutionary architecture for managing demanding on-premises, hybrid cloud and cloud-native
data pipelines
WEKA was founded on the idea that current storage solutions have only provided incremental improvements to legacy designs, allowing for a widening gap between compute performance and data storage performance. Storage remains a bottleneck to application performance, and with the continued densification of compute in areas such as GPU-based applications, has become even more problematic. In today’s hyper-competitive market, organizations need flexible infrastructure; application workloads are becoming increasingly complex and data sets are continuing to grow unchecked, forcing enterprises to architect overly complicated and costly systems that reduce IT agility. As a result, important business insights remain locked away, out of reach of decision makers.
Unlock Innovation with a Modern
AI-Native Data Platform
Organizations are eliminating the complexity of legacy data storage infrastructure and building data pipelines on data platforms. A data platform is an integrated, end-to-end solution that provides holistic support for an organization’s data management needs while supporting every step of the organization’s data lifecycle – from ingest and pre-processing to analyzing, storage, and archiving. A true data platform is designed to support both the structured and unstructured data a digital organization uses, regardless of whether the data is at the core, cloud, or edge. It is multi-tenant, multi-workload, multi-performant, and multi-location, all with a common management interface.
“With the WEKA Data Platform, we now have the robust data pipelines needed to power next-gen GPUs and build state-of-the-art generative AI solutions at scale. It works like magic to turn fast, ephemeral storage into persistent, affordable data.”
Legacy Storage Systems are not Optimized for Modern Data Pipelines
Modern day applications have a wide variety of storage performance requirements (IOPs, bandwidth, latency), and when combined with the diversity of application file formats, access protocols, and data structures, it can all lead to increased IT complexities and challenges.
Putting Pipelines Into Operation is as Critical as Building Them
Key technical challenges to operationalizing data pipelines are how to efficiently fill them, how to easily integrate across systems, and how to manage rapid change.
Data Pipelines Are Complex and Require Tuning
Each step of a pipeline usually has a completely different IO profile for data, which can result in complexity, siloing of storage, and data stalls in the pipeline.
Workloads and Data Sprawl Across Disparate Systems
Data needs to be ingested from multiple sources and via multiple protocols. Today’s data pipelines need to run on-premises, in the cloud, and between locations.
Infrastructure is Slow, Business Is Fast
Traditional infrastructure can take months to years to adapt to the requirements for AI and HPC strategies, however, business changes fast, and infrastructure needs to be able to adapt in days.
Modern Data Pipelines Require
A Modern Data Platform
The limitations created by legacy design constraints led the founders of WEKA to develop a brand new file system that delivers the performance of all-flash arrays, the simplicity of scale-out NAS, and the scalability of the cloud in a single architecture.
The WEKA Data Platform provides an integrated, high-performance, scalable, and resilient storage solution that effectively supports various stages of compute-intensive workflows at every stage of the pipeline.
Multi-Workload
Effectively leverage data across organizations and accelerate innovation by eliminating data silos
Multi-Performant
Power data pipelines with massive ingest bandwidth, mixed read and writing handling, and ultra-low latency
Multi-Location
Empower data mobility by deploying WEKA on-premises, in the cloud, or in hybrid environments
Multi-Scale
Easily scale your projects up and down without disruption or degradation
The WEKA Architecture Whitepaper
Want to know more? Dive into our technical overview of the features and benefits of the WEKA Data Platform including details on theory of operation, features and management, and independent performance validation.
Achieve The Impossible
The WEKA Data Platform has been specifically designed to power modern data pipelines and drive business outcomes. Learn more about the unique capabilities of the WEKA Data Platform that are helping organizations succeed.
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