Keep data close to compute
Deploy persistent object storage alongside your GPU infrastructure so customers can keep AI data within your environment instead of repeatedly moving it from another cloud.







They need persistent storage for datasets, model weights, checkpoints, logs, and outputs that remain available across workloads. Akave gives you the storage technology and operational support to add that layer to your platform.
Deploy persistent object storage alongside your GPU infrastructure so customers can keep AI data within your environment instead of repeatedly moving it from another cloud.
Deliver S3-compatible storage through your own domain and customer endpoints, with isolated tenant environments and a service model built around your cloud.
Attach persistent storage to compute contracts using wholesale storage economics and zero egress fees.

Scale storage with flat pricing, no egress fees, and less operational overhead than building it yourself.
Tenant A
Tenant B
Tenant C
Akave ManagedThree isolated data paths converge on one managed storage layer.
No shared namespaces. No shared data paths. Customers can independently verify their data is isolated from every other tenant on your platform.
Separate endpoints, security keys, and policies by customer, with tenant operations recorded through Akave's logs.
Run Akave through shared, dedicated, or partner-hosted infrastructure, with storage placed around regional, performance, and sovereignty requirements.
Combine erasure coding, Object Lock, WORM policies, cryptographic integrity proofs, and an immutable record of storage operations.
The most valuable AI workloads create data that must be retained, reused, protected, and accessed across compute jobs.
Preserve environments and restore VMs to avoid cold-boot restart.
Keep versioned training artifacts available across jobs, clusters, and teams.
Store outputs and logs from inferencing and fine-tuning pipelines.
Keep curated, versioned datasets available wherever the next training job runs.
Use Akave directly through a managed, shared S3-compatible storage service.
Add a branded storage service to your own cloud environment.
Ideal for enterprises with predictable or compliance-driven storage needs.
GPU capacity gets workloads started. Persistent object storage keeps datasets, model weights, checkpoints, logs, and outputs available across every job. See how cloud providers can add that durable data layer without building storage from scratch.
Give your customers a durable data layer alongside computewithout building and operating the storage infrastructure yourself.



