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🚀 CompactifAI API now powers the leading coding agents at up to 75% lower cost Plug it into your preferred coding agent and run leading models like GLM 5.1 as the backend, without changing your IDE or workflow. Main highlights: ✅ Drop-in integration with Cursor, OpenCode and other leading coding agents ✅ Up to 75% lower cost per token vs the comparable frontier setup ✅ Externally validated by Artificial Analysis's Agentic Index: GLM 5.1 on CompactifAI API scores 6% higher than Sonnet 4.6 Same agent. Same workflow. Lower bill. ➡️ Request access: https://ow.ly/WvPp50YZqQ3 📄 More info: https://ow.ly/xIe250YZqQ5 #CodingAgents #GLM5.1 #InferenceProvider #CompactifAI #MultiverseComputing

As AI models scale, efficiency is no longer optional it is the defining challenge ⚡ Recent innovations like Google’s TurboQuant highlight how critical it is to optimize inference. At Multiverse Computing, we are tackling the same problem from a different angle with CompactifAI🔬 The key insight? These approaches are not competing they are complementary 🤝 🔹 CompactifAI reduces model size before deployment • Shrinks models by up to 90% 📉 • Cuts memory requirements dramatically 💾 • Enables deployment on smaller, more affordable hardware 💻 🔹 TurboQuant optimizes performance during inference • Reduces runtime memory usage 📊 • Speeds up attention computations ⚡ • Improves long-context efficiency 📚 Together, they unlock a powerful, layered approach to AI efficiency ➡️ Compress the model ➡️ Deploy on leaner infrastructure ➡️ Optimize runtime performance Because in reality, the biggest cost in AI is not just running models it is hosting them. At Multiverse Computing, we believe the future of AI efficiency lies in stacking innovations across the entire stack from architecture to runtime.

🚀 Multiverse Computing Opens New Office in Barcelona! Located at Passatge de Mas de Roda 6-14, the new office strengthens our presence in one of Europe’s most dynamic technology hubs, allowing us to work closer to companies, clients, and partners in Barcelona’s thriving innovation ecosystem💡 The new space will also help us attract top AI and engineering talent from one of Spain’s strongest tech communities, as we continue building multidisciplinary teams of ML engineers, AI researchers, platform engineers, product managers, and presales specialists 👩💻👨💻 The Barcelona office follows the recent openings in Madrid and Zaragoza and supports the continued expansion of Multiverse Computing. These teams are helping accelerate the adoption of our compressed large AI models that significantly reduce computing costs and energy consumption without compromising accuracy⚡🧠 Great to see the Barcelona team in action and to keep building momentum together! 📰 Learn more here: https://lnkd.in/e3J5dMhJ

Gonzalo Otegui, our Product Director, explains why Madrid is the perfect setting to lead this new era of Efficient and Sovereign AI. Do you want your product’s AI to be scalable and reach the market faster than ever? At Multiverse Computing, we make it happen with numbers that actually add up—delivering peak performance on standard hardware while optimizing your CAPEX and OPEX. Ready to scale efficiently? Get in touch or stop by our new Madrid office. Let’s talk business! 🚀

🚀 Multiverse Computing Opens New Office in Madrid! 🇪🇸 We are opening our new Madrid office, a major milestone in our growth journey and a key step in strengthening our presence in one of Europe’s most vibrant tech hubs. 🏙️✨ This strategic space will enable us to collaborate even more closely with spanish partners and clients, accelerate innovation, and bring our CompactifAI compressed AI models to more organizations across sectors. 📍 Located at Paseo de la Castellana 200, our Madrid team of over 60 talented professionals, from software engineering to machine learning and data analytics, will play a central role in advancing efficient and sustainable AI solutions. Leaded by our Madrid site lead Gonzalo Otegui 💡 Since 2019, Multiverse has grown from its roots in San Sebastián to a global footprint with offices in Paris, London, Munich, Milan, Toronto, and San Francisco. This expansion reinforces our mission to deliver ultra-efficient compressed AI models that reduce computational costs and energy consumption without compromising performance. 🔗 Learn more here: https://lnkd.in/enzUqdTa

★ Introducing BlackStar 12B by Multiverse Computing At Multiverse Computing, we are redefining what high-performance AI models look like with BlackStar 12B, powered by our CompactifAI technology. In direct benchmarks against Ministral 14B (Mistral AI), BlackStar 12B delivers outstanding gains: 📊 Benchmark highlights +33% higher intelligence index* 54% lower memory usage +47% higher throughput +32% faster latency *(average of AIME25, GPQA-D, MMLU-Pro and LiveCodeBench) These results prove that smaller, smarter, and more efficient models can outperform larger ones unlocking enterprise-grade AI with lower infrastructure costs, faster deployment, and superior real-world performance. BlackStar 12B showcases how Multiverse Computing AI models can lead globally, combining state-of-the-art intelligence with unmatched efficiency. 🔗 Read more about BlackStar 12B and our benchmarks: https://lnkd.in/eYGzJfgd