StarWind VTL
StarWind VTL helps businesses move beyond their costly physical tape backup processes without sacrificing regulatory data archival and retention requirements thanks to on-premises Virtual Tape Libraries with cloud and object storage tiering. Protect your backups from ransomware by keeping them “air-gapped” on virtual tapes. Replicate and tier your backups to any public cloud and use any industry-standard object storage for flexible scalability, as well as maximized security and cost-efficiency. We're happy to offer you a consumption-based licensing model for StarWind VTL. No more limitations on installations or number of backup servers. You simply pay for the amount of data managed by VTL instances running in your infrastructure. We automatically add discounts for big data sets: the bigger the archive, the better the cost per terabyte. We're rolling out the subscription model one region at a time, your sales representative can tell you more about the availability in your region.
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MiniMax H3
MiniMax H3 is a general-purpose omni-modal generation model that jointly understands multimodal contexts spanning text, images, video, and audio. It generates videos with native stereo sound at up to 2K resolution and 15 seconds in length, delivering content for advertising, branding, ecommerce, product design, UI/UX, gaming, and creative workflows. Users can combine reference types in one instruction, for example, transferring camera movement from a video, placing a character from an image into the scene, and matching vocals from an audio clip, while describing the relationships in natural language. H3 supports text-to-image, text-to-video with jointly generated audio, multi-shot modeling, text-to-audio, and generalized reference and editing across images, videos, and audio. Voice, sound effects, and music are modeled together. The model excels at instruction following, accurate text and brand presentation, and video-to-video motion transfer.
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DataSet
DataSet retains live, searchable real-time insights. Store indefinitely using DataSet-hosted or customer-managed, low-cost S3 storage. Ingest structured, semi-structured, and unstructured data faster than ever before. A limitless enterprise infrastructure for live data queries, analytics, insights, and retention, with no data schema requirements. The technology of choice for engineering, DevOps, IT, and security teams to unlock the power of data. Sub-second query performance powered by a patented parallel processing architecture. Work quicker and smarter to make better business decisions. Ingest hundreds of terabytes effortlessly. No rebalancing nodes, storage management, or resource reallocation. Scale on a limitless flexible platform. An efficient cloud-native architecture minimizes cost and maximizes output. Benefit from a predictable cost model with unmatched performance.
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Phi-2
We are now releasing Phi-2, a 2.7 billion-parameter language model that demonstrates outstanding reasoning and language understanding capabilities, showcasing state-of-the-art performance among base language models with less than 13 billion parameters. On complex benchmarks Phi-2 matches or outperforms models up to 25x larger, thanks to new innovations in model scaling and training data curation.
With its compact size, Phi-2 is an ideal playground for researchers, including for exploration around mechanistic interpretability, safety improvements, or fine-tuning experimentation on a variety of tasks. We have made Phi-2 available in the Azure AI Studio model catalog to foster research and development on language models.
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