Professional Holoware workstation devices showcase

Choose Power with Clarity

Professional workstations engineered for creators, developers, and enterprises. Built in India, backed by expertise, designed for the future.

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Spec Decision Guide

Understand the 'why' behind every component before you configure

CPU

Cores & Clock Speed

More cores accelerate renders; high clocks make timelines snappier

GPU

VRAM & Compute Units

VRAM determines model size; compute units drive rendering speed

RAM

Capacity & Speed

Capacity for large datasets; speed for real-time workflows

Storage

NVMe Lanes & RAID

PCIe lanes determine throughput; RAID provides speed and redundancy

PSU & Thermals

Wattage & Cooling

Adequate power prevents throttling; proper cooling maintains performance

Noise Envelope

Acoustics & Environment

Balance performance with workspace noise requirements

Industry Use Cases

Tailored configurations for professional workloads with real-world performance metrics and expert recommendations

Video Editing

4K/8K Multi-Stream

Handle multiple 4K streams, real-time effects, and fast export times

Typical Workloads:

Multi-cam 4K timeline editing
Real-time color grading
GPU-accelerated effects
Background rendering

Recommended Build:

CPU:16-core Intel i9 or AMD Ryzen 9
GPU:RTX 4080 Super (16GB VRAM)
RAM:64GB DDR5-4800
Storage:2TB NVMe Gen4 + 4TB RAID 0

Prioritizes GPU encoding, fast storage for scratch files

Why it works:

High core count handles background tasks while editing. Large VRAM prevents timeline stuttering with effects. Fast storage eliminates bottlenecks during scrubbing.

Sample Performance

4K ProRes export: ~2.5x real-time, 8K timeline: 60fps playback

Local LLM

7B-70B Models

Run large language models locally with optimal speed and safety

Typical Workloads:

70B parameter model inference
Quantization optimization
Multi-user serving
Fine-tuning workflows

Recommended Build:

CPU:12-core with high memory bandwidth
GPU:RTX 4090 (24GB) or dual RTX 4080
RAM:128GB DDR5-5600
Storage:4TB NVMe for model storage

VRAM determines max model size, RAM for context length

Why it works:

24GB VRAM runs 70B models with 4-bit quantization. Large system RAM enables long conversations. Fast CPU handles tokenization and system overhead.

Sample Performance

70B model: ~15 tokens/sec, 7B model: ~80 tokens/sec

3D Modeling/Rendering

Viewport & Production

Smooth viewport navigation and fast final rendering

Typical Workloads:

Complex scene viewport performance
GPU-accelerated rendering
Simulation and dynamics
Asset streaming

Recommended Build:

CPU:16-core for CPU rendering backup
GPU:RTX 4080 Super or RTX 4090
RAM:64GB DDR5 for large scenes
Storage:2TB NVMe + network storage

Balance viewport performance with render speed

Why it works:

High CUDA core count accelerates Cycles, OptiX, and viewport shading. Large VRAM handles complex scenes without slowdown. CPU cores provide rendering fallback.

Sample Performance

Blender BMW scene: 45sec, Viewport: 60fps with 10M polys

Data Science

ML Training & Analysis

Process large datasets and train machine learning models efficiently

Typical Workloads:

Large dataset preprocessing
Deep learning training
Parallel model evaluation
Interactive analysis

Recommended Build:

CPU:16-core with AVX-512 support
GPU:RTX 4090 or A6000 (48GB)
RAM:128GB DDR5 ECC
Storage:8TB NVMe RAID for datasets

PCIe lanes for multiple accelerators, ECC for reliability

Why it works:

Large RAM holds entire datasets in memory. GPU VRAM determines model complexity. High-bandwidth storage prevents I/O bottlenecks during training.

Sample Performance

ResNet-50 training: 2.5hrs, 100GB dataset load: 45sec

CAD/CAM

Design & Manufacturing

Precision modeling with fast simulation and toolpath generation

Typical Workloads:

Parametric modeling
Assembly simulation
Toolpath calculation
Rendering and visualization

Recommended Build:

CPU:12-core with high single-thread
GPU:RTX 4070 Ti or Quadro RTX
RAM:64GB DDR5
Storage:2TB NVMe + backup storage

Balance single-thread for CAD, multi-thread for CAM

Why it works:

High single-thread performance keeps CAD operations responsive. Multi-core handles complex simulations and toolpath generation. Professional GPU drivers ensure stability.

Sample Performance

SolidWorks rebuild: <2sec, Fusion 360 simulation: 5min

Configure Your Perfect Workstation

Build your dream workstation with our interactive configurator

Interactive Configurator

Build your perfect workstation with real-time compatibility checks and performance estimates

Configuration Steps

Step 1 of 7

Workload Focus
CPU
GPU
RAM
Storage
Connectivity
Thermals & Chassis
Workload Focus

What will you primarily use this workstation for?

Unable to load workload options

Live Summary
Performance Score
0/100
Based on selected components
Power Draw
0W
Under full load
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Selected Components:

Performance Benchmarks

Interactive performance data with real-world metrics to help you make informed decisions

Benchmark Categories

3D Rendering

Blender Cycles & OptiX performance

Performance Leader

RTX 4090 delivers the highest real-world performance in this category.

Best Value

RTX 4070 Ti offers excellent performance-to-price ratio for most professional workloads.

Data Notes: Representative performance based on standardized testing. Final numbers depend on complete system configuration, cooling, and specific workload optimization. Real-world scores reflect typical usage scenarios with background processes.

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