
GigaIO
@giga_io
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Leading provider of workload-defined #AIinfrastructure. Our 32 GPU single-node #supercomputer for #generativeAI & accelerated computing is the first of its kind
Carlsbad, CA
Joined April 2016
#Gryf is the first-ever suitcase-sized AI #supercomputer, delivering datacenter-class performance to tactical edge operations. It empowers real-time intelligence analysis and mission-critical decision-making . #WhatsYourEdge #EdgeComputing.
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GigaIO is a proud Gold sponsor of @IEEEHOTI 2025! We’re rethinking AI system architecture from the edge to the core with scalable platforms and our AI fabric — built for every accelerator, everywhere. #HOTI #HOTI25 #GigaIO #AcceleratedComputing #GenAI #ArtificialIntelligence
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#GigaIO and @pogolinux have been working together to deliver flexible, high-performance AI infrastructure that just works. Interested in becoming a partner?
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SuperNODE breaks the 8-GPU barrier — delivering the world’s most powerful and energy-efficient scale-up #ArtificialIntelligence computing platform. Near-perfect scaling, lower costs, and widespread accelerator support. Ready to power up AI? #GigaIO #GenAI.
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Hot off the press! #GigaIO was featured in the @SDbusiness for fueling the future of AI infrastructure! The story dives into how our AI computing platforms, SuperNODE and Gryf, are helping enterprises scale smarter from edge to core.
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GigaIO & @dMatrix_AI are joining forces to deliver enterprise-grade AI efficiency with d-Matrix's Corsair + GigaIO’s AI fabric. Think smarter scaling, lower power, serious performance gains. See how we’re changing the game: #GigaIO #ArtificialIntelligence
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Our latest performance white paper reveals how GigaIO’s AI fabric dramatically improves multi-node efficiency and GPU scaling — without the need for proprietary interconnects. See the full breakdown and benchmark results: #GigaIO #AcceleratedComputing
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GigaIO and AMD are teaming up to give colleges and universities a head start on the future of AI. With our Engineered Solutions students and researchers get access to real-world, datacenter-class infrastructure. #GigaIO #AcceleratedComputing.
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📚 Back to school just got a serious upgrade. Universities pushing the boundaries of research and #GenAI need more than just GPUs — they need full-scale infrastructure that’s agile, powerful, and easy to manage. #GigaIO #ArtificialIntelligence.Learn more:
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The future of AI starts here. SuperNODE is the world’s most powerful scale-up AI computing platform — unifying memory, maximizing scaling, and breaking every barrier. Built for every accelerator. Built for what’s next. #GigaIO #SuperNODE #MI300X.
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It's 🌐 #WorldWideWebDay, we’re reminded just how far the internet has come — and where it’s going next.The web we know is evolving fast, and AI is at the wheel.
uk.finance.yahoo.com
As endless scrolling and algorithmic feeds can dominate our waking hours, a tech innovator warns of an imminent crisis — and offers a remedy.
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Still figuring out how to build AI infrastructure that’s flexible, efficient, and ready to scale? This #GigaIO guide lays it all out: #AcceleratedComputing #GenAI #ArtificialIntelligence
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#Gryf is the first-ever suitcase-sized #ArtificialIntelligence supercomputer, delivering datacenter-class performance to tactical edge operations. It empowers real-time intelligence analysis and mission-critical decision-making. #WhatsYourEdge.
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Why settle for theoretical benchmarks when you can see real-world results? Our new performance white paper dives deep into how GigaIO’s AI fabric scales LLM training and inference. You’ll want to read this: #GigaIO #AIfabric #ArtificialIntelligence
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The future of AI starts here. SuperNODE is the world’s most powerful scale-up AI computing platform — unifying memory, maximizing scaling, and breaking every barrier. Built for every accelerator. Built for what’s next. #GigaIO #SuperNODE.
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Just how small *is* Gryf? Here it is next to a SuperNODE rack — yes, it really is the world’s first suitcase-sized AI supercomputer. Datacenter-class power, edge-sized footprint. #GigaIO #WhatsYourEdge #ArtificialIntelligence.
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