WEKA in Spain
Azuba is a partner of WEKA in Spain. WEKA provides a high-performance data platform designed to remove the bottlenecks that limit the most demanding artificial intelligence, machine learning, HPC and analytics workloads. Its software-defined architecture gives GPUs and CPUs very low-latency, high-performance access to large data volumes, both on-premises and in cloud.
High performance storage · AI Storage
NeuralMesh™
Keep GPUs working, not waiting on data
NeuralMesh™ is WEKA's data platform designed to continuously feed GPU-accelerated infrastructure. Its distributed architecture combines high throughput, low latency and scalability to accelerate the full AI data lifecycle: from ingestion and preparation through training, inference and result generation. That increases GPU utilization and returns more from one of the most expensive investments in an AI infrastructure.
One platform for the full AI pipeline
AI workloads combine very different access patterns: millions of small files, large datasets, checkpoints, models and intensive read-write processes. WEKA runs these phases on one platform, avoiding silos and reducing the need to keep moving and duplicating data across separate storage systems.
From terabytes to exabytes
WEKA's distributed architecture scales capacity and performance as projects grow. It deploys on standard infrastructure and validated configurations through WEKApod™ appliances, or in public cloud environments such as AWS, Azure, Google Cloud and Oracle Cloud.
Primary use cases
Artificial intelligence and machine learning
Accelerate training, inference, RAG and data pipelines on GPU infrastructure.
HPC and supercomputing
High throughput and low latency for research, simulation and scientific computing.
Life sciences and genomics
Process large datasets in genomic sequencing, bioinformatics, imaging and drug discovery.
Intensive analytics
Fast, parallel access to large volumes of information to shorten time to results.
WEKA and Azuba
Azuba brings WEKA to organizations that need maximum performance from AI, GPU, HPC and intensive analytics infrastructure. We work with WEKA specialists to analyse each workload and assess how the platform can remove data bottlenecks and improve compute utilization.
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Common questions
What is NeuralMesh?
WEKA's data platform for GPU-accelerated infrastructure: ingestion, preparation, training, inference and results on a distributed low-latency, high-throughput architecture.
Does WEKA replace Everpure, Tintri or Scality?
No. In Data & AI Infrastructure, WEKA covers AI / GPU / HPC. Everpure, Silk, Tintri and Scality cover other roles. Fit is assessed in the specific environment.