HP encourages a hybrid approach to AI adoption

As organisations look to scale AI, balancing performance, cost, security and governance is becoming increasingly important. At TD SYNNEX EXPLORE, HP shared its perspective on how a hybrid AI strategy can help organisations unlock greater value while maintaining control over data, infrastructure and costs.

Why hybrid AI Is gaining momentum

As Ethan Vickery, advanced compute solutions specialist at HP, noted at the TD SYNNEX EXPLORE event recently, a lot has changed in the last two years. ‘It’s not only about LLMs now. But when we scale AI, token use explodes and cost becomes a problem. We are also producing a lot of data and there are privacy and security concerns. As the AI market develops, it’s getting more complex.’

Consequently, there’s a real desire and drive to decrease dependency on the cloud and take AI inferencing to the edge. This will deliver significant cost and power savings as well as being more secure, proving greater privacy, and much better control over data sovereignty.

Enabling AI innovation at the edge

HP is addressing these challenges with several innovations and has already released the ZXG Nano Station, a device that provides AI power on the desktop in an ultra-compact 150mm-square form factor. Available with 128TB memory and capacities of up to 4Tb, these devices have been designed for local AI prototyping. Powered by the NVIDIA GB10 Grace Blackwell chip, it is extremely powerful, capable of up to 1000 TOPS and ideal for AI inference and testing.

HP, of course, also has a wealth of AI-driven PCs available, which can be used at the edge to boost individual user productivity and ensure that AI is delivering benefits right across the organisation.

Creating opportunities for partners

TD SYNNEX and HP are working together closely to ensure that partners can maximise the potential as the focus with AI moves to the edge and organisations adopt a hybrid approach.