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NVIDIA RTX PRO 6000 AI GPU
Built in Pune · Ships Pan-India · AI-Ready

AI Workstations,
Built & Tuned
In Pune.

Threadripper and multi-GPU rigs, pre-loaded with your AI stack — CUDA, PyTorch, ComfyUI, local LLMs. Spec'd for training, inference and generative AI. Unbox to inference the same afternoon.

Threadripper PRO · multi-GPU · sustained-load validatedfree build spec in 4–8 hrs
Free AI Build Spec
Itemized · validated · reply in 4–8 hrs
Budget
Primary use
100% FREE· NO DEPOSIT· REPLY IN 4–8 HRS
Powered byAMD+NVIDIA·Authorised partner · genuine silicon only
AMD Ryzen Threadripper PRO 9000 WXAMD Ryzen Threadripper PRO 9000 Series processor
AMD Threadripper PRO · The Platform

Threadripper Never Bottlenecks.

Multi-GPU AI lives and dies on the CPU platform. A gaming board runs out of lanes, memory and cooling fast. Threadripper PRO is built for exactly this — so your GPUs and your data never wait on each other.

  • 128PCIe 5.0 lanes
    Run 2–4 GPUs at full x16 eachNo card starved for bandwidth — the entire reason a multi-GPU AI rig is worth building.
  • 96cores / 192 threads
    Your GPUs never sit idleData loading, tokenizing and pre-processing stay ahead of the GPUs, so they run flat-out.
  • 2TB8-ch DDR5 ECC
    Whole datasets in memoryKeep huge datasets and models in RAM; ECC catches errors so a 5-day run doesn’t die on hour 110.
  • 24/7sustained load
    Runs at 100% for daysEngineered and cooled for round-the-clock training and batch jobs — it doesn’t flinch.
NVIDIA RTX PRO 6000 Blackwell · 96GBNVIDIA RTX PRO 6000 Blackwell AI GPU
NVIDIA · The Accelerator

The Silicon AI Is Built On.

For AI, the GPU is the engine — and CUDA is why it just works. Every serious AI framework is built for NVIDIA first, so you spend your time on models, not on compatibility.

  • CUDAthe AI standard
    Everything just runsPyTorch, TensorFlow, ComfyUI, vLLM, Ollama — all target CUDA first. No driver battles, no “unsupported” walls.
  • 96GBVRAM (RTX PRO)
    Bigger models stay residentModel size lives in VRAM. More VRAM = 70B-class LLMs and high-res diffusion on-card — no painful offloading.
  • 5thgen Tensor Cores
    Hardware built for AI mathFP8 / FP4 acceleration purpose-built for AI — far faster training and inference than raw compute alone.
  • Blackwell architecture
    The latest generationThe efficiency and throughput today’s generative AI and large language models are designed around.
The Difference

Arrives Ready To Run.

No competitor in Pune does this. Every NVSX AI workstation ships with the software stack pre-installed and validated — so you train or infer on day one, not after a weekend of driver hell.

Tell us your framework and models — we hand it over running them.

nvsx@ai-workstation — pre-flight
NVIDIA drivers + CUDA + cuDNNversion-matched
Python env + PyTorch / TensorFlowyour choice
Local LLM toolingOllama / llama.cpp, a model loaded & chatting
Generative AIComfyUI / Automatic1111 with SDXL ready
Docker + NVIDIA Container Toolkitfor custom stacks
Optional: RAG / private-chat demoon your own documents
all systems validated
Use Case · 01

Run LLMs Locally.

Private chat and RAG over your own documents — no per-token cloud bills, and your data never leaves the building.

  • Quantized models up to ~70B class running on your own machine.
  • RAG over private docs — ask questions of your own data, locally.
  • Serve a local API for your apps and team — always on, no queue.
NVIDIA ChatRTX — local LLM demo
NVIDIA ChatRTX · local LLM on your PC
Use Case · 02

Create With Generative AI.

High-res image and video generation on Stable Diffusion, SDXL, Flux and ComfyUI — fast, local, and unlimited.

  • Batch generation at high resolution without metering or queues.
  • LoRA training & ControlNet pipelines for your own style and assets.
  • Emerging local video gen — the newest models, on your hardware.
ComfyUI on NVIDIA RTX — generative AI demo
ComfyUI on NVIDIA RTX · generative AI
Who We Build For

From One Rig To A Rack.

A single workstation for your desk, or a fleet of GPU servers for your company — same build quality, same validation, hand-built in Pune.

Individuals & Teams

For Builders

Devs, researchers, creators & studios who want their own machine.

  • Single AI workstations — Studio & Lab builds
  • Spec’d to your exact models and workflow
  • Hand-delivered in Pune or shipped pan-India
  • Lifetime build support on WhatsApp
Companies & Labs

For Corporates

Teams standardising on-prem AI infrastructure at scale.

  • Multi-GPU servers & custom rackmount builds
  • ECC, redundancy & fleet standardisation
  • GST invoicing, volume pricing & procurement
  • Deployment + onboarding for your AI team
The Builds

Three Starting Points.

Every build is made to order and priced to your exact spec — no fixed SKUs, no markup games. Compare on what each runs, not on a number. We quote yours in hours.

Tier 1Studio
The everyday AI dev & generative workstation — single-GPU, fast, quiet.
  • CPU
    Ryzen 9 / Threadripper
  • GPU
    1× RTX 5090 · 32GB
  • RAM
    128GB DDR5
  • Store
    2TB NVMe
What it runs

~70B-class quantized LLMs · SDXL / Flux fast · single-GPU fine-tuning

Most built · Threadripper in stock
Tier 2Lab
Serious training + on-prem AI — a server under your desk, on the Threadripper PRO platform.
  • CPU
    Threadripper PRO
  • GPU
    2× RTX 5090 / RTX PRO · full x16 each
  • RAM
    256GB DDR5 ECC
  • Store
    4TB NVMe
What it runs

Larger models · multi-GPU training · heavy batch inference · 24/7 jobs

Tier 3Scale
For companies standardising on-prem AI — more GPUs, ECC, rack option.
  • CPU
    Threadripper PRO
  • GPU
    3–4× GPU · RTX PRO class
  • RAM
    up to 1–2TB ECC
  • Store
    NVMe array · rack option
What it runs

Team-scale training & inference · standardised on-prem AI fleet

Free · No Commitment

Get Your Free
AI Build Spec.

  • Itemized, validated build matched to your exact workload — in 4–8 hours.
  • Straight to WhatsApp — a real human replies, no bot, no spam.
  • No markup games — transparent parts, no hidden margin.
  • Zero pressure — free quote, no deposit, no commitment.
Free AI Build Spec
Itemized · validated · reply in 4–8 hrs
Budget
Primary use
100% FREE· NO DEPOSIT· REPLY IN 4–8 HRS
The Trust Anchor

Every Build Ships
With A Validation Report.

You're spending lakhs — you should see proof it performs. We run real AI workloads on your exact machine and hand you the numbers, not a marketing claim.

Validation Report · sample

PASSED · 0 throttle · 0 errors
LLM throughput
~18 tok/s interactive
Llama-3 70B (Q4) · single RTX 5090
Generative
~7 images / min
SDXL 1024² · 30 steps · ComfyUI
Training throughput
~1,800 img/s
ResNet-50 mixed precision · 2× GPU
Sustained-load thermals
72° GPU / 68° CPU
After 4 hours at 100% load — zero throttle

⚠ Indicative figures — your validation report reflects your exact configuration, measured on your machine before dispatch.

Own Your Compute

Stop Renting GPUs.

Cloud GPU bills never stop, and your data lives on someone else's servers. One NVSX workstation pays for itself — then keeps paying you back.

Cloud GPU Rental
Pay forever · data leaves the building
Per-hour billing that never stops — costs scale with every experiment
Your data and models sit on a third party’s servers
Queues, cold starts and instance limits when you need it most
Nothing to show for the spend after a year
NVSX On-Prem
Own it · private · always on
One spend — no per-hour bills, run it flat-out for free
Your data never leaves your building — full privacy & control
Always available — no queues, no cold starts, instant iteration
A hard asset that holds value and keeps working
How It Works

Consult To Inference.

Consult

Tell us your models, frameworks, dataset sizes and single vs multi-GPU. We talk specs, not sales.

1 day · WhatsApp / call

Spec

An itemized build matched to your workload — no hidden markup, no padded parts.

1 day

Build + Validate

Assembled in Pune, sustained-load burn-in, your AI stack installed and verified.

2–4 days

Deliver + Onboard

Pune hand-delivery or insured pan-India shipping — plus a call to get your first job running.

+ onboarding call
★ 4.8 On Google

Trusted By Builders.

Honest, fair pricing — not a rupee more than buying the parts myself online.

Sid D.

Best store to get your PC built — helped me pick the right parts for my budget and workload.

Yash K.

Fast service, trustworthy. The build runs flawless and stays cool under load.

Raghav A.
Before You Ask

AI Build FAQ.

Yes — quantized. A 70B model at 4-bit (Q4) fits roughly in 40–48GB of VRAM, so it runs across two GPUs comfortably, or on a single 96GB RTX PRO card. A single 32GB card runs up to ~32B-class models well. We spec the VRAM to the exact models you name.
Inference and most generative work run great on a single strong GPU. Training and fine-tuning are where multi-GPU pays off — and that needs the Threadripper PRO platform so each card gets full PCIe x16. Tell us the workload and we’ll tell you honestly which you need.
Yes — version-matched and running before handover. Drivers, CUDA, cuDNN, your Python env, PyTorch/TensorFlow, local LLM tooling and ComfyUI/A1111 with SDXL are installed and validated. Name your stack and we hand it over running it.
That’s exactly what it’s built for. Every build gets sustained-load burn-in (hours at 100%, not a 10-minute test), a PSU sized for continuous multi-GPU draw, and airflow tuned for round-the-clock operation.
For AI today we build NVIDIA GPUs — the CUDA ecosystem is what PyTorch, TensorFlow and virtually every AI framework target first, so you spend time on your work, not on compatibility. We pair those GPUs with AMD Threadripper PRO for the CPU/platform (lanes, cores, RAM).
Rule of thumb: inference of a quantized model needs roughly its parameter count in GB at 4-bit (a 13B model ≈ 8–10GB, 70B ≈ 40–48GB). Generative AI wants 16–32GB+. Training wants as much as you can get, across multiple cards. We size it to your named models.
Yes — and we plan for it. We spec the Threadripper PRO platform and a PSU with headroom so a second (or third) GPU drops in at full x16 later, no rebuild required.
Yes. Beyond desktop workstations we build multi-GPU servers and custom rackmount systems for teams standardising on-prem AI — with ECC, redundancy, GST invoicing and volume pricing. Tell us your fleet and we’ll scope it.
Yes — insured, tracked, pan-India, double-boxed for GPU-heavy builds. Free pickup at our Pune store.
Full manufacturer warranty on every component — we handle the RMA on your behalf for the entire coverage period — plus lifetime NVSX build support on WhatsApp.
Free · No Commitment

Ready To Bring
AI In-House?

Tell us your models and workload — we'll send an itemized, validated AI build spec in 4–8 hours. Free, no commitment.

Free AI Build SpecItemized · validated · 4–8 hrs
[ Get Spec ]