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PodStack

PodStack is a full-stack GPU cloud platform built around PodVirt, a Rust-based software-defined GPU virtualization layer that can slice any NVIDIA or AMD GPU from 12.5% to 100% without MIG or vendor SDK lock-in. It combines fractional per-second GPU billing, one-click training and inference templates, serverless notebooks, a Python SDK and CLI, and per-token managed inference, all with one operator, one SLA, one bill. It also ships as a self-hostable DC Suite that datacenters can license. PodStack is notable for being the India-data-residency, sovereign-first GPU cloud position that mid-enterprise BFSI, healthcare, and research teams need, with INR-denominated consumption pricing rather than USD. It is ideal for ML teams shipping models who are structurally underserved by hyperscalers and unprotected on commodity neoclouds.

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Apertus 1.5
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Apertus 1.5 is a truly open-source large language model released under permissive licensing, designed for transparency and community-driven development. The model provides competitive performance across language understanding, reasoning, and generation tasks while maintaining full transparency in its training data, architecture, and weights. Apertus aims to democratize access to advanced AI capabilities by removing proprietary restrictions and encouraging collaborative improvement.

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Perplexity AI
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Discover the power of Perplexity AI, a cutting-edge, free answer engine that revolutionizes information discovery. With its AI technology, Perplexity swiftly delivers accurate, real-time answers to any query, acting as your go-to research partner. Beyond traditional Q&A, this Swiss Army Knife for curiosity enables content summarization, topic exploration, and even boosts creativity. By scouring the internet, Perplexity generates accessible and trustworthy responses, saving you valuable time and enhancing your knowledge base. Embrace the future of information retrieval with Perplexity AI – your ultimate tool for unlocking endless possibilities.

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DigitalOcean Gradient Platform is an AI and machine learning infrastructure platform for building, deploying, and scaling model-powered applications. It gives developers access to cloud resources, GPU-oriented workflows, and startup-friendly infrastructure for training, fine-tuning, inference, and AI product development. Teams can use Gradient to experiment with models, host AI workloads, connect cloud services, and move from prototype to production without managing every low-level infrastructure detail themselves. The platform is best for startups, developers, and small technical teams that want practical AI infrastructure inside the DigitalOcean ecosystem. Gradient stands out because it pairs AI compute and deployment tooling with DigitalOcean’s simpler developer experience and startup credit programs.

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