Klijent: PNY TECHNOLOGIES EUROPE SAS
Format: Beli papir
Veličina: 3,14 МБ
Jezik: Engleski
Datum: 15.06.2026
Building a high performance AI Factory
Artificial intelligence has changed status.
The challenge is no longer experimenting with AI, but deploying and scaling it, with requirements comparable to those of a production line: performance, security, governance and continuity. This shift can also be attributed to a gradual standardisation of approaches: after years of ad hoc set-ups (homemade servers and stacks), AI is becoming industrialised around more codified platforms that combine hardware and software.
It is no longer simply a question of having computing power: organisations must also ensure sufficient density, bandwidth and low latency, as well as a data pipeline capable of feeding the GPUs, and suitable physical conditions (power, cooling). Martin Jezequel describes this evolution: The underlying implication is that more advanced models require more compute and infrastructure bringing issues such as liquid cooling to the fore.
In other words, AI isn’t just about the GPU: it’s about the entire platform and the ability to utilise it on a daily basis.
In the following whitepaper PNY and Nvidia discuss what it means to build a high performance AI Factory
The challenge is no longer experimenting with AI, but deploying and scaling it, with requirements comparable to those of a production line: performance, security, governance and continuity. This shift can also be attributed to a gradual standardisation of approaches: after years of ad hoc set-ups (homemade servers and stacks), AI is becoming industrialised around more codified platforms that combine hardware and software.
It is no longer simply a question of having computing power: organisations must also ensure sufficient density, bandwidth and low latency, as well as a data pipeline capable of feeding the GPUs, and suitable physical conditions (power, cooling). Martin Jezequel describes this evolution: The underlying implication is that more advanced models require more compute and infrastructure bringing issues such as liquid cooling to the fore.
In other words, AI isn’t just about the GPU: it’s about the entire platform and the ability to utilise it on a daily basis.
In the following whitepaper PNY and Nvidia discuss what it means to build a high performance AI Factory
