Parasail

Highlights from our KubeCon 2024 talk: • Achieved 4x GPU cost savings • Integrated GPUs from 10+ global sources • Built hybrid Kubernetes clusters using K3s and Wireguard In an era of skyrocketing GPU demand for AI and LLMs, we tackled shortages and high costs by deploying hybrid Kubernetes clusters. This setup allowed us to access affordable, diverse GPU resources while maintaining seamless integration with major cloud services. Curious about the architecture, pros and cons, and lessons learned? Watch Xiaoman DONG and Alexander Pucher from Parasail share their insights. What’s your take on hybrid Kubernetes for scaling AI workloads? #KubeCon #CloudNativeCon #HybridKubernetes #GPU #AICompute #AIWorkloads https://lnkd.in/gDrZ5WiX

Ever imagined chatting with a chatbot that embodies Arnold Schwarzenegger’s personality? 💬💪 Unique model groups are taking AI to the next level, fine-tuning models like Qwen, Llama, and Nvidia to create personality-driven chatbots—whether it’s “The Terminator” or something entirely different. These projects show the creative potential of AI when paired with the right infrastructure. At Parasail, we make it easy to host fine-tuned models on scalable dedicated and serverless instances, empowering developers to bring these imaginative use cases to life. 🚀 What personality would you want to see in a chatbot? Share your ideas below! 👇 #AIInnovation #LLMs #OpenSourceAI #TechLeadership #AICompute

Last week, Parasail Chief of Staff Renée Lamb joined Black Opal Ventures' Brilliant Tomorrows Forum for a panel on novel AI solutions addressing Eroom's law, which describes the rising cost of drug development. At Parasail, we're proud that our mission of democratizing access to AI compute also empowers breakthroughs in discovering life-saving therapies. By helping healthcare and scientific organizations reduce inference costs by 10x, we empower cutting-edge research with solutions like Retrieval-Augmented Generation (RAG), multi-modal AI, and synthetic data generation. Interested in learning more? Contact us to see how Parasail can help accelerate your organization’s AI-driven discoveries.

What’s holding back AI innovation in your organization? At Parasail, we’ve seen how the right compute infrastructure can transform AI workloads. Whether it’s LLM evaluations, RAG pipelines, or multimodal processing, having the freedom to deploy without vendor lock-in, rate limits, or massive costs opens up a world of possibilities. 🔥 Imagine scaling your AI 10x faster while saving up to 10x on costs—what could your team achieve with that kind of power? From cutting false positives in security video alerts to processing 100x more marketing images with precision, we’re helping teams push boundaries every day. So, what’s the biggest bottleneck in your AI workflows right now? Let’s discuss! #AIInnovation #AICompute #LLMs #AIInfrastructure #TechLeadership #OpenSourceAI #AIModelDeployment

🚀 AI adoption is exploding, but let’s be real—the scaling struggles are real: 💸 Skyrocketing costs ⛔ Rate limits slowing growth 🔒 Data security concerns What if you could: ✅ Leverage open-source models ✅ Scale RAG workflows, LLM evals, and synthetic data effortlessly ✅ Cut costs without cutting innovation The AI landscape is evolving fast—faster than most teams can keep up. How are you overcoming these challenges to stay ahead? Let’s chat! 💡 #AI #MachineLearning #LLM #OpenSource #Innovation

Frontier labs are hitting a wall of diminishing returns on their models, facing huge challenges even with massive data and extended training. What is showing no signs of slowing down is leveraging much more inference, leveraging the best of automatic LLM evals, and deepening the understanding of the application side levers and tradeoffs. #AI #MachineLearning #ScalableAI #AIFuture #FrontierLabs

🌟 Exciting news! Our very own Xiaoman DONG and Alexander Pucher will be presenting at #KubeCon + #CloudNativeCon North America 2024 in Salt Lake City! They’ll be diving into the possibilities of Hybrid Kubernetes GPU Clusters for AI Workflows—don’t miss out!