Sounds wild, right? A computer that costs as much as a 2BHK apartment in some regions — nearly ₹1.5 crore.
But here’s the thing: once you understand what it can do, the price tag might actually seem cheap.
Specs
This isn’t your average workstation. It’s built for serious work at the of AI, and the specs show it:
- 4x NVIDIA H200 NVL GPUs – a total of 564 GB VRAM
- 2x AMD EPYC 9554 CPUs, each with 64 cores
- 2TB of DDR5 RAM
This setup can crunch data, train massive AI models, and simulate real-world operations — all in real-time.
What can a ₹1.5 Crore computer actually do?
Short answer: things no cloud service or gaming PC can dream of.
It can run even the largest open source LLMs – locally.including giants like the DeepSeek-VL R1, a 671 billion parameter reasoning model.
Why is that a big deal?
Because running these models offline means your data stays offline — critical for industries where privacy is non-negotiable:
- Hospitals
- Insurance companies
- Audit and compliance firms
In such industries, sending sensitive data to the cloud isn’t just risky — it can be illegal.
Now, if your business doesn’t deal with sensitive data, maybe you’re running a media or video production agency.
Chances are you’ve paid for:
- Runway ML
- Pika Labs
- Sora or Veo
- Midjourney
- Or even commercial access to GPT models
Each tool is powerful, sure — but they’re also subscription traps.
This server gives you the power to run open-source generative AI models like Hunyuan (by Tencent) locally, with zero ongoing cost.
And you don’t need this exact server to start — a setup with 48GB VRAM is enough to run most open-source creative models effectively.
Bonus: Run Multiple AIs, for Multiple People
Thanks to NVIDIA’s MIG (Multi-Instance GPU) technology, you can divide each GPU into smaller, independent AIs — giving each team member their own dedicated computer.
It’s like giving everyone their own supercomputer — from a single system.
But That’s Not What This Machine Will Be Used For…
This powerhouse isn’t being sent to a creative agency.
It’s going to the oil and gas sector, where AI is quietly transforming how industries operate.
Applied AI: Transforming Industrial Operations
The company receiving this server is using it in the petrochemical industry.Factories generate gigantic volumes of real-time data. This server helps them:
- Predict equipment failures before they happen
- Optimize chemical usage and process efficiency
- Improve product quality
- Reduce waste and costs dramatically
In such applications, AI isn’t just a productivity booster — it’s a cost-saving engine.
The Surprising Origins of AI: It All Started With Gaming
Ever wondered how AI became what it is today?
You’d be surprised to know — it started with a gamer trying to play Quake III on a giant wall.
Meet Ian Buck, a Stanford student in 2000. Obsessed with gaming, he built a wall-sized 8K setup using 32 GPUs and 8 projectors.
What started as a side project turned into something revolutionary. In 2003, Ian received a grant from the U.S. Defense Department He and his team developed Brook, a language that let GPUs do math, not just graphics
This led to parallel computing, which powers modern AI today. In 2004, NVIDIA hired Ian and tasked him with building what became the CUDA core — now standard in every GPU designed for AI
So the next time someone says AI is “just hype,” remember — it began with a gamer pushing pixels and ended up reshaping industries.
Conclusion
If you’re:
- Running high-volume AI workloads
- Building your own AI tools
- Managing sensitive data
- Or tired of the SaaS subscription trap
Then investing in local AI infrastructure could be one of the smartest decisions you make — not just for performance, but for long-term control and cost savings.
And no — you don’t need a ₹1.5 crore server to get started.
We can help you build:
- Personal AI workstations
- Team-shared AI rigs
- Full-blown enterprise AI data centers
Let’s Talk. Call our toll-free number, or just send us a message. We’ll help you figure out what you really need — without overselling.
Until next time!
