Built to meet the demands of AI and advanced analytics, UltiHash reduces storage resource use by up to 60% while delivering the throughput needed for large-scale data operations. With byte-level deduplication, fast deletion, and seamless integration with cloud and on-prem infrastructures, UltiHash provides a scalable storage solution for data-driven enterprises.
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Maker
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Excited to introduce UltiHash, the next-gen object storage platform! 🚀 Built for AI and analytics, it cuts storage volumes by 60% with byte-level deduplication. UltiHash ensures data resiliency with erasure coding and includes advanced access management for security. You can deploy seamlessly via Kubernetes with S3-compatible integration, whether in the cloud or on-prem. Plus, our efficient data deletion process frees up capacity without slowing down the system. We can’t wait to hear your feedback and see how UltiHash supercharges your projects!
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Hi Tom and UltiHash
UltiHash looks cool – I’ve installed the minikube setup and already got started. Could you please explain in more detail how the space savings work?
I am working with vast amounts of data, primarily video data, compression needs def upcoming
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Maker
@jan_renken Hi Jan,
Good to hear that you set up Ultihash :)
Our deduplication process works by splitting objects into bytes fragments of varying sizes. If a fragment already exists within the system, it isn’t stored again, eliminating unnecessary duplication across datasets. This ongoing comparison ensures that storage resources are utilized efficiently while maintaining data integrity.
You can find out more in our documentation: https://docs.ultihash.io/1.-prod...
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Cool product. AI world is slow and expensive, amounts of data grows rapidly, new huge data domains are here (video, multimodal) acceleration is needed at all layers. Glad to see products like Ultihash!
Really great to see innovation happening at the storage level. It’s often overlooked as “good enough”/“solved” as part of the standard cloud offerings, but could hide significant improvements, esp. for new-ish AI/ML use-cases.
Nice job, UltiHash team!
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Maker
@alex_bbb thanks Alex, much appreciated to read your thoughts on UltiHash!
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Maker
Super proud to be part of the team that built UltiHash! Enabling companies that want to innovate with AI to do it without suffering from storage bottlenecks by saving resources is really cool - especially when we think that data storage produces more CO2 emission that the aviation industry...!
Can't wait to get more users' perspective on UltiHash :)
On a personal note: amazing to see a project that goes from an idea to an actual product. It's been quite the journey, getting into the startup and the tech worlds - 100% worth it.
Very much needed! We’re talking to so many AI leads at corporates & industrial companies and they share that what they really need are products that enable them to build better, faster and cheaper AI models instead of buying off-the shelf AI solutions on the application layer.
We need more boldness like this!
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Maker
@linh_s Thanks so much! That’s exactly the gap we’re aiming to fill—helping companies build AI models better, faster, and with fewer resources. It’s great to hear that this resonates with what you’re seeing in the market. Here’s to empowering AI development!
congrats on the launch! love the deduplication as a lot of the blobs our users store includes large duped blobs of context shared across llm invocations. s3-api is awesome to see as well.
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Maker
@marc_klingen Thanks Marc! Great to see you’ve noticed that bottleneck with LLMs. That’s exactly where UltiHash steps in—enhancing storage efficiency without slowing down operations.
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