Buying GPUs is the easy part. The hard part is power, cooling, networking, storage and the day somebody has to make it all actually run. We survey the site, size the design, supply the hardware through an authorised channel, install and commission it, and then support it — from Kochi, with twenty-five years of doing exactly this for Kerala businesses.
We measure what your building can actually give: available power, UPS and generator headroom, cooling capacity, floor loading, rack space and how your network is laid out. This is where most AI projects quietly fail.
A sized design for the workload you described — compute, storage, networking, power and cooling — with the numbers written down so your electrical contractor and your finance team are looking at the same document.
Servers, GPUs, racks, PDUs, UPS, switching and storage, bought through an authorised channel with warranty intact. Apple silicon where it fits, GPU servers and NVIDIA DGX Spark where it does not.
Racking, cabling, power distribution, network configuration, operating system, drivers, containers, model serving, and the tests that prove it works under load.
Documentation, runbooks and training for your team, so the system is not a black box that only we understand.
AMC for hardware and software, spares held locally, and a number in Kochi that answers.
Most companies should start lower on this ladder than they expect. We would rather sell you a Mac Studio that solves the problem than a rack that impresses people.
We have twenty-five years of supplying, installing and servicing hardware in Kerala, and we run private AI on Apple silicon today. A DGX-class deployment would be our first at that scale. That is exactly why we propose a paid scoping study and a pilot node first — you get a real design and a working machine before anyone commits to a full build, and you can walk away with the design if you would rather someone else built it.
We design, supply, install and commission AI infrastructure — from a single machine on a desk to racks in a server room or a colocation cage. For heavy civil work, power and cooling we work alongside your electrical and facilities contractors rather than pretending to replace them.
Far more than ordinary IT. A single dense GPU node can draw several kilowatts, so power, UPS sizing, airflow and heat rejection are decided before any hardware is ordered. This is the part most AI projects underestimate, and it is where our survey starts.
Usually yes. Most Kerala businesses already have a rack or a small server room. We measure what it can actually take in power and cooling terms and tell you honestly whether it will hold the machines you want.
On-premise if the data must physically stay with you, or if latency to your floor matters. Colocation if you need better power and cooling than your building can give. We will say which one your case calls for, including when the answer is neither.
Apple silicon for small private AI, AI workstations, GPU servers and NVIDIA DGX Spark. ITNET is an authorised retailer for Apple and NVIDIA, so supply, warranty and service run through one accountable local partner.
We have twenty-five years of supplying, installing and servicing hardware in Kerala, and we run private AI on Apple silicon today. A DGX-class deployment would be our first at that scale, which is why we propose a paid scoping study and a pilot node before anyone commits to a full build.
The survey and scoping study are a fixed fee agreed in advance. Hardware is quoted at supply cost with installation and commissioning priced separately, so you can see exactly what you are paying for.
Tell us the workload and we will tell you what your building can take, what it would cost, and whether you need this at all.
WhatsApp +91 99958 00818