Accelerate AI Model performance with Weka converged storage and OCI GPU ...
Sep 18, 2025 · Oracle and WEKA conducted a joint proof-of-concept (POC) focused on achieving optimal performance using OCI’s H100 GPU compute shapes in combination with WEKA’s …
WEKA S3: High-Performance Object Storage for AI and Data …
Unlock ultra-low latency and 20x faster throughput with WEKA's high-performance S3 interface, optimized for AI, HPC, and real-time data pipelines. Seamlessly scale, eliminate silos, and …
The setup for Ceph is rather complicated, however there is well established enterprise support. The use-cases for Ceph are cloud infrastructure, private/public cloud storage (both hyper …
Breaking Cloud Barriers: WEKA Redefines Cloud Storage Performance …
Aug 23, 2024 · WEKA on AWS offers organizations the flexibility of the cloud without compromising HPC storage performance. As WEKA has proven, the cloud is increasingly the …
WEKA weaves memory-boosting architecture into GPU AI clouds
Jul 11, 2025 · According to WEKA, memory storage latency creates a bottleneck that limits performance for large language model (LLM) training and inference workloads. But, the …
SC25: Weka Unveils Next-Gen WEKApod Appliances to Redefine AI Storage …
Nov 20, 2025 · At SC25, Weka.IO Ltd. announced the next-gen of its WEKApod appliances to upend traditional performance-versus-cost trade-offs.
Weka.io on OCI: High-Performance Object Storage - helferich.dev
May 1, 2025 · Discover how Weka.io and Oracle Cloud combine blazing-fast NVMe performance with cost-efficient object storage for AI, HPC, and big data workloads.
Storage for AI Workloads: Ceph, VAST, and WEKA | WhiteFiber
Nov 12, 2025 · Explore how Ceph, VAST, and WEKA compare as high-performance storage solutions for AI workloads. Discover which option best fits your infrastructure needs and …
Unlock GPU Acceleration - WEKA
WEKA powers GPU acceleration by reducing the complexity of having to copy data between storage systems to create efficient high-performance pipelines.
WEKA ports NeuralMesh to a GPU server’s local SSDs
Jul 8, 2025 · The GPU server’s SSDs function as a caching tier for AI model training and inferencing tokens. Bootnote WEKA notes that, to maximize the performance of NeuralMesh …