
NodeShift
@nodeshiftai
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One-click deployment of AI agents and LLMs on-premise and in the sovereign cloud.
Joined December 2021
2/5 The Problem: Centralized AI is broken. Big TechâAWS, Azure, and Google Cloudâown the AI cloud, and that comes at a cost:. â No privacy â Your data & models are exposed to breaches.â Centralized control â Single points of failure & censorship risks.â Expensive â Sky-high.
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DeepSeek and GPT4o has already been outperformed by this new Model!. Tulu-3 launched by @allen_ai is a game-changer for developers, researchers, and AI enthusiasts. Here's why:. â
High-performance instruction-following language model.â
Built on Llama-3.1 architecture.â
Excels
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Join NodeShift founders @berelton & @mihaimarcuta at Dubaiâs largest tech festival @stepconference to explore how decentralized AI infrastructure is making AI deployment cheaper, easier, and censorship-resistant. If youâre building in AI, Web3, or cloud computing, letâs connect!
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A leading Node-as-a-Service provider @NodeOpsHQ leveraged NodeShiftâs compute platform to scale, improve reliability, and reduce costs, enabling expansion into the DePIN Cloud Compute market. Hereâs how it worked đ§ľđ
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NodeShift has integrated with @storj to bring decentralized hot storage + scalable compute to AI & LLM deployments!. Now you can seamlessly connect Storj's S3-compatible storage with NodeShift's GPU/compute infrastructure, enabling:. đ Cost-effective, secure AI/ML workloads. đ
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Creating clean datasets for AI training just got a lot easier!. Are you also struggling to extract clean, structured text data from complex documents for your language models? Meet olmOCR from @allen_ai, a highly accurate open-source Python toolkit powered by a fine-tuned 7B
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We're announcing a major step forward for AI infrastructure! NodeShift has integrated @akashnet_ decentralized GPU marketplace. This means instant access to H200, H100, and A100 GPUs, no blockchain knowledge needed. Hereâs why this is so exciting đ§ľđ
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Want to deploy your own AI agent in minutes without touching a single line of backend code?. Meet Eliza, your fast track to spinning up fully autonomous AI agents on @nodeshiftai. Hereâs how it works đ.
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R1 1776 is an advanced reasoning model built on the @deepseek_ai R1 framework and fine-tuned by @perplexity_ai AI to deliver accurate, unbiased, and unrestricted information. With 671 billion parameters, it excels in logical reasoning, problem-solving, and multilingual
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NodeShift team is here to cook đ.
Great atmosphere at Hub71 - @berelton and I are privileged to be among fellow startups, including some strong crypto projects like @defaprimitive, @awe_box, @RedbrickLand, @RillaNetwork, @1MoneyNetwork, and @SustainableBTC. Abu Dhabi is setting the standard for government support
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Imagine transforming text into speech so natural and expressive that it rivals top commercial TTS solutions â but for free. Zonos v0.1, an open-weight AI-powered TTS model, launched by @ZyphraAI is making waves in the AI community to generate lifelike voices with incredible
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Ready to transform your approach to UI automation? @Microsoft has recently dropped OmniParser v2.0âits latest agentic AI that reimagines how LLM-based UI agents interact with digital interfaces. đźď¸ Convert raw UI screenshots into structured, actionable data.đ Leverage YOLOv8âs
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AI is revolutionizing how we interpret and generate text from images, and PaliGemma-2 mix by @Google is at the forefront of this transformation. Whether you're working on image captioning, OCR, visual question answering, or object detection, this vision-language model (VLM)
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@deepseek_ai has launched a brand-new model, and we're taking our LLM game to the next level!. DeepSeek-VL2, is a state-of-the-art vision-language model designed to tackle complex multimodal tasks such as visual question answering, OCR, document analysis, and object localization.
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Decentralization isnât the future. Itâs happening now. NodeShift has teamed up with @CrustNetwork to bring seamless, decentralized storage to AI & LLM deployments. đš Why does this matter?.- Scalable cold & archive storage at a fraction of the cost.- Reliable, decentralized
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Following our integration announcement, we want to share two real-world examples of how @nodeshiftai and @storj prove why decentralized AI & storage are the future of cloud. đŞď¸ One is about emergency response teams who canât afford delays. @Earthvisionz, a situational awareness.
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5ď¸âŁ Why This Matters?. This integration proves that decentralized GPU compute is a viable, scalable alternative to traditional cloud infra. NodeShift + @akashnet_ = AI & LLM deployments without limits. Ready to deploy? Try it now!. Read the full case study here:
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Weâve just published a step-by-step guide on deploying SmolLM2 models on cloud-based virtual machines, featuring the affordable and powerful GPU Nodes from @nodeshiftcloud!. #AImodel #GPUs
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1⣠The Challenge. AI developers need scalable GPU power for LLMs & AI agents. But:. > GPUs are expensive & scarce.> Managing multi-cloud infra is complex.> Scaling AI workloads takes time. NodeShift needed a better way thatâs why we chose @akashnet_.
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2⣠Why Akash?. @akashnet_ offers on-demand, cost-effective GPUs via its decentralized marketplace. > Lower costs than traditional cloud providers.> Flexible scaling (no long-term commitments).> Access to top-tier NVIDIA GPUs. Perfect match for NodeShiftâs vision!.
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