The WEKA Data Platform is now certified as a High-Performance Data Store Solution with the NVIDIA Cloud Partner Reference Architecture for GPU Compute Infrastructure.
WekaIO (WEKA), the AI-native data platform company, has confirmed the WEKA Data Platform has been certified as a high-performance data store for NVIDIA Partner Network Cloud Partners.
With this certification, NVIDIA Cloud Partners can now leverage the WEKA Data Platform’s exceptional performance, scalability, operational efficiency, and ease of use through the jointly validated WEKA Reference Architecture for NVIDIA Cloud Partners using NVIDIA HGX H100 systems.
The NVIDIA Cloud Partner reference architecture is pitched as providing a comprehensive, full-stack hardware and software solution for cloud providers to offer AI services and workflows for different use cases. WEKA’s storage certification ensures that WEKApod appliances and hardware from WEKA-qualified server partners meet NVIDIA Cloud Partner high-performance storage (HPS) specifications for AI cloud environments.
The certification highlights the WEKA Data Platform’s ability to provide powerful performance at scale and accelerate AI workloads. It delivers up to 48GBps of read throughput and over 46GBps of write throughput on a single HGX H100 system and supports up to 32,000 NVIDIA GPUs in a single NVIDIA Spectrum-X Ethernet networked cluster.
NVIDIA Cloud Partners can now pair the WEKA Data Platform with large-scale AI infrastructure deployments powered by NVIDIA GPUs to help their customers rapidly deploy and scale AI projects.
“AI innovators are increasingly turning to hyperscale and specialty cloud providers to fuel model training and inference and build their advanced computing projects,” said Nilesh Patel, Chief Product Officer, WEKA.
“WEKA’s certified reference architecture enables NVIDIA Cloud Partners and their customers to now deploy a fully validated, AI-native data management solution that can help to improve time-to-outcome metrics while significantly reducing power and data center infrastructure costs.”
WEKA’s AI-native data platform optimizes and accelerates data pipelines, helping ensure GPUs are continuously saturated with data to achieve maximum utilization, streamline AI model training and inference and accelerate performance-intensive workloads. It provides a simplified, zero-tuning storage experience that optimizes performance across all I/O profiles, helping cloud providers simplify AI workflows to reduce data management complexity and staff overhead.
Many NVIDIA Cloud Partners are also building their service offerings with sustainability in mind, employing energy-efficient technologies and sustainable AI practices to reduce their environmental impact.
The WEKA Data Platform is pitched as dramatically improving GPU efficiency and the efficacy of AI model training and inference, which can help cloud service providers avoid 260 tons of CO2e per petabyte of data stored. This can further reduce their data centers’ energy and carbon footprints and the environmental impact of customers’ AI and HPC initiatives.
“The WEKA Data Platform is crucial in optimizing the performance of Yotta’s Shakti Cloud, India’s fastest AI supercomputing infrastructure. Shakti Cloud allows us to provide scalable GPU services to enterprises of all sizes, democratizing access to high-performance computing resources and enabling businesses to fully harness AI through our extensive NVIDIA H100 GPU fleet. With this enhancement, our customers can efficiently run real-time generative AI on trillion-parameter language models,” said Sunil Gupta, Co-founder, Managing Director and CEO, Yotta Data Services – an NVIDIA Cloud Partner.
“At Yotta, we are deeply committed to balancing data center growth with sustainability and energy efficiency. We are dedicated to deploying energy-efficient AI technologies to minimize the environmental impact of our data centers while continuing to scale our infrastructure to meet the growing demand. WEKA is instrumental in helping us achieve this objective.”
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