Put Oracle Cloud AI Infrastructure to Work
High-performance storage for AI that keeps data and context moving as OCI GPU environments scale.
Zoom out: See the features and benefits of running WEKA in the public cloud, across all providers
WEKA on Public CloudUSE CASES
Run AI at Scale on OCI
Give model development and production inference the data performance to keep pace with OCI GPU infrastructure.
AI Inference
Keep data and context available as sessions get longer and concurrency grows, so you can serve more tokens to more users.
AI Model Development
Keep training, fine-tuning, and checkpointing moving with storage performance that keeps pace as OCI GPU clusters grow.
More Inference. Same GPUs.
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Lower Cloud Storage Costs
CAIS reduced cloud storage costs by 90% after deploying NeuralMesh Axon™ on OCI.
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more concurrent users
On the same OCI GPU infrastructure versus a DRAM-only configuration.
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Higher Token Throughput
On the same OCI GPU infrastructure versus the DRAM-only configuration.
Trusted for AI on Oracle Cloud
“Embedding WEKA's NeuralMesh Axon into our GPU servers enabled us to maximize utilization and accelerate every step of our AI pipelines. The performance gains have been game-changing: Inference deployments that used to take five minutes can occur in 15 seconds, with 10 times faster checkpointing. Our team can now iterate on and bring revolutionary new AI models, like North, to market with unprecedented speed.”
FEATURES
Build AI on the OCI Services You Already Use
NeuralMesh works with OCI services and infrastructure to bring high-performance data into the cloud environment you already operate.
Keep Data Moving as GPU Clusters Grow
Give large OCI GPU clusters fast access to data across training, fine-tuning, and checkpointing. NeuralMesh runs as a high-performance storage layer on OCI bare metal, scaling performance and capacity as GPU environments grow.
Scale Cloud AI Workloads Without Data Bottlenecks
Eliminate pipeline latency, maximize GPU utilization, and move data fluidly across your cloud environment with NeuralMesh.
Frequently Asked Questions
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