10 real-world examples of companies getting results from AI with open-source ai: the numbers, the companies, and the tools behind each win. Updated daily.
Most-used tools here: PRAGMA, NVIDIA Dynamo-Triton, Sidekick, NVIDIA Nemotron, Photoroom, NVIDIA Earth-2
Revolut is rebuilding parts of its technology stack around PRAGMA, a single foundation model running on NVIDIA Blackwell Ultra GPUs with cuDF and Dynamo-Triton. The system already serves an initial 80 million customers and is engineered to handle three times…
Shopify post-trained an open NVIDIA Nemotron model to run the GraphQL subagent behind its Sidekick merchant assistant. The model matched a leading frontier model's accuracy on an internal benchmark while cutting serving costs 90% and responding seven times…
AXA is using NVIDIA's open Earth-2 weather models to simulate regional cyclone risk across more than 1,000 seasons. Vaisala Xweather is adding lightning data to its StormScope nowcasting tool for short-term warnings, and TotalEnergies is testing subhourly…
Poland's eHealth Centre is building an Intelligent Services Platform on NVIDIA DGX BasePOD with the MONAI framework to help physicians analyze X-rays, CT and MRI scans and flag abnormalities. The tool is meant to prioritize urgent cases and cut the time…
Startup Recursive launched Flint, a free coding model small enough to run on a laptop. The company says its AI research system did most of the work in building the model, serving as an early test of AI that improves itself. No performance figures were…
AI tools from OpenAI and Google's Wiz were used to locate old, long-standing vulnerabilities in PHP, which were reported and addressed before exploitation. The article also cautions that the same AI capabilities raise risks if misused.
Cybersecurity firm Calif used GPT-5.6 Sol to identify two critical vulnerabilities in PHP, the open-source language behind many websites. Wiz independently found the same issues, and OpenAI's "Patch the Planet" initiative helped drive fixes as governments…
European AI cloud provider Nscale tested NVIDIA DSX MaxLPS on GB300 NVL72 systems to match power allocation to workloads. The tests showed 37% more GPUs and nearly 50% higher aggregate inference throughput within the same provisioned power. Nscale plans Vera…
Google Cloud and partners released llm-d 1.0, a stable Kubernetes-native layer that coordinates vLLM or SGLang model servers into one pool. A vendor-reported Ironwood TPU coding benchmark showed median time-to-first-token cut by more than 85% and 2.4x…
AWS engineers fine-tuned the open-weight GPT-OSS-20B model on Amazon SageMaker HyperPod using supervised fine-tuning, with GRPO added in some runs. The model's reasoning matched the requested language in French, German, Spanish and Italian far more often…