Unmatched Flexibility and Performance for Your Data Center
Transform Your Data Center with WEKA
Whether you’re starting small, training complex models, running inference workloads, or scaling large GPU environments, WEKA delivers unmatched performance, scalability, and efficiency for AI and machine learning workloads. Optimize your on-premises infrastructure with faster insights, streamlined workflows, and reduced costs—empowering your data center to handle the demands of modern AI innovation with ease.
Meet WEKApod™
Unlock the full potential of the WEKA Data Platform in a turnkey appliance. WEKApod delivers best-in-class performance and density for AI, GPU, and other data-intensive workloads, driving faster training cycles, reduced time to convergence, and higher throughput.
“Initial tests show that experiments can be run eight times faster with WEKA compared to local storage. Crucially, as these AI experiments are power-intensive, the WEKA Data Platform can also reduce the energy requirements per experiment, helping to lower their environmental impact.”
WEKA Enhances AI Performance
WEKA accelerates AI by streamlining data pipelines, improving training cycles, and reducing time to convergence. Its architecture boosts throughput, optimizes hardware utilization, and lowers latency, enabling cost-effective AI inferencing and unmatched scalability.
Streamlining Data Pipeline Complexity
Diverse I/O profiles create inefficiencies in data pipelines. WEKA eliminates bottlenecks by consolidating storage infrastructure and simplifying pipelines. Its multi-protocol support ensures seamless integration and prepares environments for advanced AI and HPC workloads.
Unmatched Performance Density
WEKA’s architecture delivers massive throughput and IOPS while minimizing resource use. It reduces the data center footprint, power, and cooling needs, providing sustainable, high-performance AI solutions with less complexity and greater efficiency.
Addressing the Performance Gap in Legacy Infrastructure
Legacy storage struggles with AI’s high demands for fast, frequent data access. WEKA’s platform closes this gap with ultra-low-latency access and industry-leading performance, ensuring peak efficiency for AI training, inferencing, and high-speed data analytics.
How To Tackle Business and Technical Challenges Impacting Data-Intensive AI Workloads
Legacy storage systems are holding organizations back from fully realizing the potential of AI and generative AI. These workloads demand a fresh approach to data management, infrastructure, and expertise. In this eGuide, discover how WEKA was built from the ground up to address the key business and technical challenges of AI data pipelines.Empower your organization to unlock the true value of AI by addressing these critical hurdles with targeted strategies and technologies.
