Lightning-fast object storage for AI workloads with S3-compatible API, Kubernetes-native deployment, and binary-level deduplication.
UltiHash is a lightning-fast object storage platform built for AI workloads. It offers both serverless and self-hosted options with an S3-compatible API, Kubernetes-native deployment, and binary-level deduplication to reduce costs. Designed for high throughput, it supports generative AI, model training, data lakehouses, and various industry use cases like computer vision, autonomous vehicles, and speech-to-text.
Key Features
check_circleS3-compatible API
check_circleKubernetes-native
check_circleBinary-level deduplication
check_circleHigh throughput
check_circleServerless or self-hosted
check_circleLower TCO
check_circleSecure by design
check_circleReed-Solomon erasure coding
check_circlePolicy-based access control
check_circleVersioning + object locking
check_circleSOC-2 Type II-certified
check_circleGDPR-compliant
check_circleFully software-defined
check_circleNo lock-in
check_circleIntegrations with various tools
Use Cases
lightbulbAI teams training large models use UltiHash to feed GPUs at full speed without I/O bottlenecks, reducing training time and keeping compute utilization high.
lightbulbData engineers building a data lakehouse store raw and processed data in one place with UltiHash, enabling faster queries on Parquet and Iceberg while cutting storage costs through deduplication.
lightbulbManufacturing teams deploying computer vision for defect detection store image and video data on UltiHash, scaling inspection pipelines without manual errors.
lightbulbAutonomous vehicle developers manage massive sensor data (video, LiDAR, radar) with UltiHash, accelerating model training and validation without infrastructure limits.
lightbulbSpeech-to-text system builders store and scale audio data effortlessly on UltiHash, enabling multilingual communication and customer sentiment analysis.
lightbulbTelecom operators use UltiHash for logs and sensor data to optimize network traffic, predict outages, and reduce energy consumption through advanced analytics.
lightbulbGenerative AI teams store and retrieve unstructured data (text, images, audio) with low-latency reads, serving prompts and streaming media into inference pipelines efficiently.
%20PNG.png){kind=small}