Limited Offer - Free 3-Year ProSupport Plus (Worth 45,000+)

Stop Renting GPUs.
Own Your AI Infrastructure.

Every hour you train a model on AWS, you're paying rent on someone else's GPU. Dell Precision puts 96 CPU cores, dual NVIDIA RTX 6000 Ada GPUs, and 512 GB ECC memory on your desk - under your control, with zero recurring costs. On-site delivery by SmartSoft.

Dell Precision Tower Workstations for AI Development

Get a Custom AI Quote Call 98956 04838

CPU Cores (Threadripper PRO)

96 GB

GPU VRAM (Dual RTX 6000 Ada)

512 GB

DDR5 ECC Memory

0/hr

No Cloud GPU Bills - Ever

The Problem

Cloud GPUs Are Bleeding Your AI Budget

Let's do the math together. A single NVIDIA A100 instance on AWS or Azure costs 250â€400/hour. Run it 8 hours a day for a year and you've spent 7â€12 lakhs - on a GPU that disappears the moment you stop paying. Now multiply that by your team. AI startups are spending more on cloud compute than on salaries. ML teams are waiting 30 minutes for instances to spin up before they can write a single line of training code. Data science firms are uploading sensitive datasets to third-party infrastructure and praying their compliance team doesn't find out. Deep-learning engineers are watching their cloud bills double every quarter. There's a better way.

7- Lakhs/Year

Average cloud GPU cost per data scientist for iterative development, experimentation, and model training. And that's just one seat.

20- Min Spin-Up

Waiting for cloud instances to provision, attach storage, load your environment, and sync datasets. Time your engineers spend not training models.

Data Leaves Your Premises

Sensitive training data - patient records, financial models, proprietary datasets - uploaded to third-party cloud infrastructure. Compliance teams lose sleep.

The Solution

Dell Precision 7875 Tower - The AI Beast

Purpose-built for LLM fine-tuning, computer vision, NLP, and reinforcement learning. The most powerful single-socket workstation on the planet.

Flagship

Precision 7875 Tower

When your models need more than the cloud can offer in a single click. The 7875 Tower packs an AMD Threadripper PRO 7995WX with 96 cores, dual NVIDIA RTX 6000 Ada Generation GPUs (48 GB VRAM each - 96 GB total), and 512 GB of 8-channel DDR5 ECC memory. Fine-tune 70B parameter models locally. No waiting. No bills. No compromise.

CPU: AMD Threadripper PRO 7995WX - 96 cores / 192 threads
GPU: 2- RTX 6000 Ada (48 GB GDDR6 each)
Memory: Up to 512 GB DDR5 ECC (8-channel)
Storage: Up to 36 TB (NVMe Gen 4 + SATA)
OS: Ubuntu 22.04, RHEL 9, SUSE, Windows 11 Pro
Frameworks: PyTorch, TensorFlow, JAX, CUDA 12, cuDNN, TensorRT

Starting from 4,85,000 + GST

Configure & Quote

Value Pick

Precision 5860 Tower - Smart Start for AI Teams

The sweet spot for AI startups, university labs, and data science teams. Intel Xeon W-3400 with up to 56 cores, single or dual NVIDIA RTX 5000 Ada GPUs, and PCIe Gen 5 for GPU-direct storage. Run PyTorch, TensorFlow, and Jupyter notebooks locally - at a fraction of cloud costs.

CPU: Intel Xeon W-2400 / W-3400 (up to 56 cores)
GPU: Up to 2- RTX 5000 Ada (32 GB each)
Memory: Up to 512 GB DDR5 ECC
Storage: PCIe Gen 5 NVMe - 14 GB/s sequential read
AI Tuning: Dell Optimizer AI auto-tunes CPU/GPU allocation

Starting from 2,95,000 + GST

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Comparison

Local Precision vs. Cloud GPUs - The Math

Here's what 12 months of AI development actually costs for a team of 3 engineers.

	Cloud GPUs (AWS/Azure)	Dell Precision 7875 (Local)
Hardware Cost	0 upfront - but 21- lakhs/year (3 users -'"12L)	14.55 lakhs one-time (3 workstations)
Year 2 Cost	21- lakhs again	0 (you own the hardware)
GPU VRAM per User	24- GB (depends on instance)	96 GB (dual RTX 6000 Ada)
Data Location	Third-party cloud	On-premise - full control
Spin-Up Time	20- minutes	0 - always on
Internet Dependency	100% - no connection, no work	None - fully offline capable
Support	Cloud support tiers (extra cost)	Free 3-Year ProSupport Plus (this quarter)

Use Cases

What AI Teams Build on Precision

Large Language Models

Fine-tune LLaMA, Mistral, and GPT-class models (up to 70B parameters) locally. 96 GB of combined GPU VRAM handles LoRA, QLoRA, and full fine-tuning without sharding.

Computer Vision

Train YOLO, Detectron2, and Segment Anything models on large image/video datasets. Multi-GPU training cuts iteration time by 50%+ vs. single GPU cloud instances.

NLP & Text Analytics

BERT, RoBERTa, and transformer fine-tuning for classification, NER, sentiment analysis, and RAG pipelines. Process millions of documents locally without data egress.

Generative AI

Stable Diffusion, DALL-E style models, and GANs for content generation, synthetic data, and creative workflows. 48 GB VRAM per GPU enables high-resolution generation.

Bioinformatics & Drug Discovery

AlphaFold, molecular docking, and genomic variant calling with GPU acceleration. Process whole-genome datasets in 512 GB memory without out-of-memory errors.

Reinforcement Learning

Train autonomous agents with complex environments. 96 CPU cores run environment simulation while dual GPUs handle policy network training in parallel.

"We were spending 18 lakhs a year on AWS GPU instances for a team of 4. After switching to Dell Precision 7875 towers through SmartSoft, we eliminated cloud GPU costs entirely. The machines paid for themselves in 8 months - and our iteration speed is 3- because there's no spin-up latency."

- AI Engineering Lead

Computer Vision Startup

This Quarter Only

Exclusive AI Workstation Offers

Free 3-Year ProSupport Plus

24/7 access to senior Dell engineers, accidental damage protection, and next-business-day on-site service - complimentary with every Precision workstation this quarter.

Team Pricing - 3+ Units

Equipping an AI team? Unlock volume pricing with additional discounts, extended payment terms, and a dedicated project manager for deployment.

0% EMI - Up to 12 Months

Spread the cost with zero-interest EMI through Dell Financial Services. A 4.85L workstation becomes ~40,400/month - less than one month of cloud GPU rental.

Why SmartSoft

We Don't Just Sell Boxes - We Deploy AI Infrastructure

Pre-Configured for AI

Every AI workstation ships with Ubuntu/RHEL, NVIDIA drivers, CUDA toolkit, cuDNN, PyTorch, TensorFlow, and Jupyter pre-installed. Power on and start training.

Dedicated AI Specialist

Your account manager understands GPU architectures, VRAM requirements, and framework compatibility. Get the right configuration - not the most expensive one.

White-Glove Delivery & Setup

On-site delivery to your office. Rack/desk placement, driver installation, BIOS tuning for AI workloads, and validation testing. Your team writes code on day one.

Ready to Stop Renting and Start Owning?

Describe your AI workflow - the models, the frameworks, the team size. We'll spec the right Precision workstation, pre-install CUDA and your frameworks, apply every available promotion, and deliver it to your office ready to train on day one. Most teams break even within 6â€8 months.

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Stop Renting GPUs.Own Your AI Infrastructure.