As AI adoption speeds up, one thing is becoming clear: the developer platforms that got you this far won’t get you to the next stage. While yesterday’s platforms were awesome, let’s face it, they weren’t built for today’s AI-infused application development and deployment. And organizations are quickly realizing they need to update their platform strategies […]

Organizations use artificial intelligence (AI) and high-performance computing (HPC) applications to process massive datasets, run complex simulations, and train generative models with billions of parameters for diverse use cases such as LLMs, genomic analysis, quantitative analysis, or real-time sports analytics. These workloads place big performance demands on their storage systems, requiring high throughput and I/O […]

Have you ever wished you could get a foundation model to respond in a particular style, exhibit domain-specific expertise, or excel at a specific task? While foundation models like Gemini demonstrate remarkable capabilities out-of-the-box, there can be a gap between their general knowledge and the nuanced understanding required for specific applications.  Supervised Fine-Tuning (SFT) emerges […]

To build trust in the software world, developers need to be able to digitally sign their code and attest that the software their customers are downloading is legitimate and hasn’t been maliciously altered. Keys used to sign code are the cryptographic equivalent of crown jewels for many organizations, and protecting them is of utmost importance.  […]

Introduction Retrieval Augmented Generation (RAG) is revolutionizing how we build Large Language Model (LLM)-powered applications, but unlike tabular machine learning where XGBoost reigns supreme, there’s no single “go-to” solution for RAG. Developers need efficient ways to experiment with different retrieval techniques and evaluate their performance. This post provides a practical guide to rapidly prototyping and […]