Operations | Monitoring | ITSM | DevOps | Cloud

The global AdTech market is experiencing exponential growth, driven by the rising demand for speed, personalized advertising, and the proliferation of digital platforms. Key trends include the rise of connected TV (CTV) advertising, in-app advertising, rich media, and interactive ads, as well as the growing importance of privacy and data security.

NVIDIA offers one of the most comprehensive SDKs for developers of AI-heavy products. It includes a development kit that can emulate other devices in the lineup (Jetson AGX Orin DK), a simpler development kit for “entry-level” products (Jetson Orin Nano DK), a ton of exciting software libraries, AI models and even more examples of how to use them. It’s truly outstanding and out of the box shows up as a Ubuntu workstation which will feel very familiar.

Generative AI tools are being embedded in workplaces at breakneck speed to crank up efficiency and productivity. While there’s no question about AI’s potential to deliver those kinds of benefits, the ‘how’ part isn’t fully clear to a lot of businesses. That puts many organizations in a precarious position.

Organizations across all industries are racing to adopt LLMs and integrate generative AI into their offerings. LLMs have been demonstrably useful for intelligent assistants, AIOps, and natural language query interfaces, among many other use cases. However, running them in production and at an enterprise scale presents many challenges.