Introduction AI search engines demand low-latency, context-aware results, but high compute costs and infrastructure complexity often hinder performance. Sentence embeddings, which transform text into semantic vectors, enable smarter search by understanding user intent. Nebula Block’s serverless platform, powered by NVIDIA H100/H200 GPUs, delivers cost-efficient, scalable infrastructure, saving 30-70%

Introduction NVIDIA’s recent release of Llama Nemotron Nano VL marks a pivotal advancement in vision-language models optimized for document understanding. While Nemotron Nano VL sets new benchmarks for extracting complex data from PDFs, diagrams, and tables, emerging trends in AI point toward compact, energy-efficient models that empower real-world applications

Introduction Smart cities rely on real-time IoT data to optimize everything from traffic lights to air quality. Yet the reality is, traditional cloud solutions struggle to keep up—high compute costs and latency issues limit scalability. For example, Montreal’s traffic optimization initiative faces these exact challenges. Nebula Block solves

Introduction As machine learning (ML) workloads scale, GPUs like NVIDIA’s H100 have set the standard for training and inference. However, emerging AI accelerators—ASICs, FPGAs, photonic, and neuromorphic chips—are reshaping ML infrastructure with specialized performance and efficiency. Nebula Block’s serverless platform, powered by H100/H200 GPUs, offers

Introduction: The Challenge of Model Training Training large-scale AI models is both compute-intensive and time-consuming. For many research labs, the prolonged training cycles obstruct rapid innovation and delay product iterations. Enter Nebula Block, a serverless GPU cloud platform built to revolutionize AI compute. By leveraging high-end NVIDIA GPUs and dynamic

Introduction: Scaling NLP with Nebula Block High-volume Natural Language Processing (NLP) applications, such as semantic search or real-time chatbots, demand fast, scalable embedding generation. Nebula Block’s Embedding API, powered by NVIDIA GPUs and serverless architecture, delivers up to 30% cost savings while handling millions of requests daily. This guide