
Minio
Google Cloud Storage
Amazon S3
Azure Blob Storage
DigitalOcean Spaces
IBM Cloud Object Storage
Cloudian
Zadara Storage
ImageBind
Milvus
Minio
ImageBindMinio is recommended for developers, IT teams, and organizations that need a reliable object storage solution that can scale with their data needs. It is also a good choice for businesses looking to reduce costs associated with cloud storage services while maintaining high availability and performance.
Based on our record, Minio seems to be a lot more popular than ImageBind. While we know about 170 links to Minio, we've tracked only 4 mentions of ImageBind. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I need to set up MinIO like S3, since the app needs to think it's talking to S3. I downloaded MinIO from their site and set up the environment variables:. - Source: dev.to / 3 months ago
We migrated to Parseable, self-hosted on Kubernetes with Minio for S3-compatible storage, all running on bare-metal. The product still feels early, but the team is responsive and ships fixes fast when something breaks. Big shoutout to Anant and Deba! - Source: dev.to / 7 months ago
There are also other object storage services that provide more comprehensive CAS support such as ABS, GCS, MinIO, R2, and Tigris. - Source: dev.to / about 1 year ago
In addition, it also includes MariaDB update where "Binary logs are no longer purged by default unless a replica has connected", and minio update where "the MinIO Gateway and the related filesystem mode code have been removed". - Source: dev.to / about 1 year ago
Consume object storage โ a hosting provider can deploy and maintain object storage services (such as Min.io), offering his customers to begin consuming storage capabilities that exist in cloud-native environments. - Source: dev.to / over 1 year ago
With multimodal models such as TwelveLabs, Gemini Embedding, or ImageBind, you no longer need to decompose video into constituent parts. These models process video, audio, and context natively. They generate unified embeddings that capture complete content semantics in one operation. - Source: dev.to / 7 months ago
Another multi modal embedding is ImageBind from Meta, which supports text, images, and audio. - Source: dev.to / 12 months ago
In the approach described above, the main difference between the candidate models is their input/output modality. When can we expect to unify these models into one? The next-generation โAI power-upโ for LLM Agents is a single multimodal model capable of following instructions across any input/output types. Combined with web search and REPL integrations, this would make for a rather โadvanced AIโ, and research in... Source: about 3 years ago
Google and OpenAI are increasingly restrictive on the research they share, but Meta is taking a different approach. This week: Meta released ImageBind, an AI model capable of โlearningโ from six different modalities, including depth, thermal, and inertia. Source: about 3 years ago
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
Azure Blob Storage - Use Azure Blob Storage to store all kinds of files. Azure hot, cool, and archive storage is reliable cloud object storage for unstructured data
DigitalOcean Spaces - The simplest way to cost effectively store, serve, backup, and archive a virtually infinite amount of media, content, images, and static files for your apps.
IBM Cloud Object Storage - IBM Cloud Object Storage is a platform that offers cost-effective and scalable cloud storage for unstructured data.