Green Tech Custom Built
Scientific Research & Molecular Simulation Workstation Series (Optimized for Molecular Dynamics, Quantum Chemical Calculations & Bio-Informatics Processing)
Green Tech Science Alpha I
Fractal Design Define 7 XL Full-Tower (Acoustically soundproofed heavy steel chassis designed for continuous laboratory simulation nodes and quiet computing environments).
Optimized for running protein-folding neural network inference, molecular property prediction models, and deep-learning-driven drug discovery screening simulations.
549mm clearance chassis (Massive internal depth specifically chosen to securely house flagship RTX 5090 cards and multi-precision accelerator cards without spatial restriction).
- GPU: NVIDIA GeForce RTX 5090 32GB (Configured for massive tensor throughput, CUDA-accelerated molecular dynamics engines like NAMD/GROMACS, and quantum chemistry computations)
- CPU: AMD Ryzen 9 9950X3D (Massive multi-threaded architecture with extensive cache depth for rapid parallel scientific computations and simulation scheduling)
- Motherboard: ASUS ROG CROSSHAIR X870E HERO (Enthusiast-grade power delivery and elite PCIe Gen 5 data routing for unconstrained data-transfer bandwidth)
- RAM: 128GB DDR5-6000MHz High-Capacity Scientific Computing Kit
- Storage: 4TB PCIe 5.0 NVMe SSD (Extreme read/write bandwidth for instant loading of massive simulation trajectories and structural datasets)
- Power Supply: 1600W Titanium Certified Clean-Rail Modular PSU
- Cooling: 420mm High-Performance Liquid Cooling Array
RAM Expansion to 256GB Kit (Plus £450): Essential for holding large biological macromolecule structures and explicit solvent boxes entirely in memory.
Secondary 8TB PCIe 5.0 Storage (Plus £680): Necessary to maintain an isolated local repository for extensive simulation outputs and raw experimental data logs.
10GbE Network Expansion Card (Plus £130): Crucial for high-speed cluster communication and institutional data transfer.
Simulation Benchmark: Blazing-fast parallelized molecular calculation speeds.
4K Gaming Benchmark: 150–190 FPS for off-hours hardware stress verification.
System peak draws roughly 830W under combined heavy CPU calculations and GPU molecular simulation loads. Secured safely by a 1600W Titanium modular rail. This custom PCA can be used for molecular dynamics, quantum chemistry, drug discovery screening, and bioinformatics research.
Green Tech Science Beta II
Corsair 7000D Airflow Full-Tower (Spacious vertical layout engineered for robust thermal dissipation during continuous multi-day calculation sweeps).
Designed for automated cheminformatics classification, generative molecular design networks, and materials science crystal structure prediction.
450mm clearance chassis (Engineered depth allowing safe installation of flagship RTX 5090 cards and specialized scientific interface adapters).
- GPU: NVIDIA GeForce RTX 5090 32GB (Configured for massive tensor throughput, CUDA-accelerated molecular dynamics engines like NAMD/GROMACS, and quantum chemistry computations)
- CPU: Intel Core i9-14900KS (Extreme single-core turbo frequency for rapid serial processing steps and simulation bootstrapping)
- Motherboard: MSI PRO Z790-A MAX WIFI (Stable enterprise connectivity and robust power phases)
- RAM: 128GB DDR5-6000MHz High-Capacity Scientific Computing Kit
- Storage: 4TB PCIe 5.0 NVMe SSD (Extreme read/write bandwidth for instant loading of massive simulation trajectories and structural datasets)
- Power Supply: 1600W Titanium Certified Clean-Rail Modular PSU
- Cooling: 420mm High-Performance Liquid Cooling Array
RAM Expansion to 256GB (Plus £450): Essential for handling large crystallographic dataset arrays.
Storage Expansion to 8TB NVMe (Plus £680): Necessary to handle continuous multi-gigabyte trajectory file logging.
Power Supply Upgrade to Redundant Rails (Plus £320): Recommended for mission-critical laboratory node uptime.
Cheminformatics Processing: Instantaneous structural screening.
4K Gaming: 130–170 FPS.
Draws ~860W under stress. Powered securely via a 1600W Titanium unit. This custom PCA can be used for cheminformatics, generative molecular design, materials science, and bio-informatics.
Green Tech Science Gamma III
Phanteks Enthoo Pro 2 Server-Grade Full Tower (Industrial build engineered for multi-GPU molecular simulation cluster nodes).
Optimized for training custom deep learning models for quantum chemical property mapping and binding affinity prediction.
503mm clearance chassis (Massive internal depth built specifically to house large workstation cards safely).
- GPU: NVIDIA GeForce RTX 5090 32GB (Configured for massive tensor throughput, CUDA-accelerated molecular dynamics engines like NAMD/GROMACS, and quantum chemistry computations)
- CPU: AMD Ryzen 9 9950X3D (Massive multi-threaded architecture with extensive cache depth for rapid parallel scientific computations and simulation scheduling)
- Motherboard: Gigabyte X870E AORUS MASTER (Robust power delivery and advanced thermal shielding)
- RAM: 128GB DDR5-6000MHz High-Capacity Scientific Computing Kit
- Storage: 4TB PCIe 5.0 NVMe SSD (Extreme read/write bandwidth for instant loading of massive simulation trajectories and structural datasets)
- Power Supply: 1600W Titanium Certified Clean-Rail Modular PSU
- Cooling: 420mm High-Performance Liquid Cooling Array
RAM Expansion to 256GB (Plus £450): Essential for handling massive multi-molecule ligand docking libraries.
Storage Expansion to 8TB NVMe (Plus £680): Necessary to keep all active research datasets on ultra-fast storage.
Power Supply Upgrade to Redundant Units (Plus £320): Recommended for enterprise laboratory deployment.
Binding Affinity Speed: Rapid calculation of molecular interactions.
4K Gaming Production: 130–160 FPS.
Peak load registers at 820W. Backed by a 1600W Titanium rail for absolute power stability. This custom PCA can be used for quantum chemical property mapping, binding affinity prediction, molecular docking, and scientific research.
Green Tech Science Delta IV
Fractal Design Torrent Full-Tower (Open interior layout ensuring optimal temperature regulation during heavy continuous simulation cycles).
Designed for executing real-time genomic sequencing neural alignment and automated structural biology parsing pipelines.
461mm clearance chassis (Engineered geometry allowing uninhibited airflow around RTX 5090 cards).
- GPU: NVIDIA GeForce RTX 5090 32GB (Configured for massive tensor throughput, CUDA-accelerated molecular dynamics engines like NAMD/GROMACS, and quantum chemistry computations)
- CPU: Intel Core i9-14900KS (Extreme single-core turbo frequency for rapid serial processing steps and simulation bootstrapping)
- Motherboard: ASUS ROG MAXIMUS Z790 HERO (Elite gaming chipset with premium overclocking support)
- RAM: 128GB DDR5-6000MHz High-Capacity Scientific Computing Kit
- Storage: 4TB PCIe 5.0 NVMe SSD (Extreme read/write bandwidth for instant loading of massive simulation trajectories and structural datasets)
- Power Supply: 1600W Titanium Certified Clean-Rail Modular PSU
- Cooling: 420mm High-Performance Liquid Cooling Array
RAM Expansion to 256GB (Plus £450): Essential for large enterprise genomic alignment databases.
Storage Upgrade to 8TB NVMe (Plus £680): Necessary for storing extensive sequencing run archives.
Chassis Fan Upgrade to Industrial Fans (Plus £120): Recommended for continuous thermal management.
Genomic Alignment: Zero stutter during high-throughput sequence mapping.
High-End Gaming: 145–185 FPS.
Draws ~880W under full stress. Maintained stably by a 1600W Titanium power configuration. This custom PCA can be used for genomic sequencing alignment, structural biology parsing, bioinformatics, and scientific simulations.
Green Tech Science Epsilon V
Lian Li O11 Dynamic EVO XL (Dual-chamber display layout offering pristine cable paths and component isolation).
Tailored for high-speed automated materials property forecasting and crystal lattice defect analysis networks.
460mm clearance chassis (Designed with generous interior width to mount professional workstation cards cleanly).
- GPU: NVIDIA GeForce RTX 5090 32GB (Configured for massive tensor throughput, CUDA-accelerated molecular dynamics engines like NAMD/GROMACS, and quantum chemistry computations)
- CPU: AMD Ryzen 9 9950X (Massive multi-threaded architecture with extensive cache depth for rapid parallel scientific computations and simulation scheduling)
- Motherboard: ASUS ProArt X870E-CREATOR WIFI (Featuring robust PCIe lane bifurcation for multi-card expansion)
- RAM: 128GB DDR5-6000MHz High-Capacity Scientific Computing Kit
- Storage: 4TB PCIe 5.0 NVMe SSD (Extreme read/write bandwidth for instant loading of massive simulation trajectories and structural datasets)
- Power Supply: 1600W Titanium Certified Clean-Rail Modular PSU
- Cooling: 420mm High-Performance Liquid Cooling Array
RAM Expansion to 256GB (Plus £450): Crucial for heavy multitasking between simulation control panels, analysis software, and visualization tools.
Storage Expansion to 8TB NVMe (Plus £680): Essential for reducing project archive read times.
Power Supply Upgrade to Redundant Units (Plus £320): Recommended for enterprise system reliability.
Materials Analysis: Smooth multi-app execution and interactive 3D rendering.
4K Gaming: 140–180 FPS.
Peak load sits around 810W. Requires a 1600W Titanium rail to ensure clean power conditioning. This custom PCA can be used for materials property forecasting, lattice defect analysis, scientific visualization, and molecular research.
Green Tech Science Zeta VI
Corsair 1000D Super-Tower (Massive enterprise architectural chassis built for extreme multi-system scientific compute clusters).
Powers intensive deep neural network training loops for quantum mechanics / molecular mechanics (QM/MM) hybrid calculations.
400mm clearance chassis (Designed with robust internal brackets to support heavy workstation graphics architectures).
- GPU: NVIDIA GeForce RTX 5090 32GB (Configured for massive tensor throughput, CUDA-accelerated molecular dynamics engines like NAMD/GROMACS, and quantum chemistry computations)
- CPU: Intel Core i9-14900KS (Extreme single-core turbo frequency for rapid serial processing steps and simulation bootstrapping)
- Motherboard: MSI MEG Z790 GODLIKE WIFI (Enterprise-grade feature set and rock-solid power stages)
- RAM: 128GB DDR5-6000MHz High-Capacity Scientific Computing Kit
- Storage: 4TB PCIe 5.0 NVMe SSD (Extreme read/write bandwidth for instant loading of massive simulation trajectories and structural datasets)
- Power Supply: 1600W Titanium Certified Clean-Rail Modular PSU
- Cooling: 420mm High-Performance Liquid Cooling Array
RAM Expansion to 256GB (Plus £450): Essential for handling massive parallel data processing across QM/MM boundaries.
Storage Upgrade to 8TB NVMe (Plus £680): Necessary for maintaining high-speed scratch disk capacity.
Power Supply Upgrade to Redundant Units (Plus £320): Recommended for absolute operational headroom.
QM/MM Execution: Flawless background simulation without front-end slowdowns.
Gaming Performance: 150–190 FPS.
Draws ~890W under maximum systemic load. A 1600W Titanium supply offers secure operational headroom. This custom PCA can be used for QM/MM hybrid calculations, deep learning training, scientific research, and molecular modeling.
Green Tech Science Theta VII
Fractal Design Define 7 XL Full-Tower (Acoustically optimized enterprise housing for quiet, distraction-free research laboratories).
Optimized for processing real-time spectroscopic data analysis, chemical kinetics modeling, and automated reaction pathway mapping.
549mm clearance chassis (Expansive internal layout built to easily accommodate oversized scientific hardware).
- GPU: NVIDIA GeForce RTX 5090 32GB (Configured for massive tensor throughput, CUDA-accelerated molecular dynamics engines like NAMD/GROMACS, and quantum chemistry computations)
- CPU: AMD Ryzen 9 9950X3D (Massive multi-threaded architecture with extensive cache depth for rapid parallel scientific computations and simulation scheduling)
- Motherboard: ASUS ROG CROSSHAIR X870E HERO (Enthusiast-grade power delivery and elite PCIe Gen 5 data routing for unconstrained data-transfer bandwidth)
- RAM: 128GB DDR5-6000MHz High-Capacity Scientific Computing Kit
- Storage: 4TB PCIe 5.0 NVMe SSD (Extreme read/write bandwidth for instant loading of massive simulation trajectories and structural datasets)
- Power Supply: 1600W Titanium Certified Clean-Rail Modular PSU
- Cooling: 420mm High-Performance Liquid Cooling Array
RAM Expansion to 256GB (Plus £450): Crucial for heavy multi-variable kinetic datasets.
Storage Expansion to 8TB NVMe (Plus £680): Necessary for secure long-term spectroscopic data archives.
Power Supply Upgrade to Redundant Rails (Plus £320): Recommended for uninterrupted lab uptime.
Spectroscopic Analysis: Zero latency computation display.
4K Gaming: 150–190 FPS.
Peak load sits near 830W. Powered efficiently by a 1600W Titanium certified power unit. This custom PCA can be used for spectroscopic analysis, chemical kinetics modeling, reaction pathway mapping, and research computation.
Green Tech Science Iota VIII
Lian Li Lancool III RGB Full-Tower (High-airflow mesh chassis combining industrial cooling capacity with clean laboratory styling).
Engineered for running advanced local generative scientific models and automated structural biology validation suites.
435mm clearance chassis (Tailored geometry providing safe fitting margins for top-tier 50-series hardware).
- GPU: NVIDIA GeForce RTX 5090 32GB (Configured for massive tensor throughput, CUDA-accelerated molecular dynamics engines like NAMD/GROMACS, and quantum chemistry computations)
- CPU: Intel Core i9-14900KS (Extreme single-core turbo frequency for rapid serial processing steps and simulation bootstrapping)
- Motherboard: ASUS ROG MAXIMUS Z790 HERO (Elite gaming chipset with premium overclocking support)
- RAM: 128GB DDR5-6000MHz High-Capacity Scientific Computing Kit
- Storage: 4TB PCIe 5.0 NVMe SSD (Extreme read/write bandwidth for instant loading of massive simulation trajectories and structural datasets)
- Power Supply: 1600W Titanium Certified Clean-Rail Modular PSU
- Cooling: 420mm High-Performance Liquid Cooling Array
RAM Expansion to 256GB (Plus £450): Essential for massive generative model buffer management.
Storage Upgrade to 8TB NVMe (Plus £680): Necessary to store extensive simulation weight portfolios.
Chassis Fan Upgrade to Premium ARGB Fans (Plus £90): Recommended for enhanced internal airflow management.
Generative Modeling: Maximum throughput efficiency.
Gaming Performance: 140–180 FPS.
Draws ~860W during high load. A 1600W Titanium power supply provides clean baseline distribution. This custom PCA can be used for generative scientific modeling, structural biology validation, molecular research, and simulation.
Green Tech Science Kappa IX
Corsair 7000D Airflow Full-Tower (Spacious internal cable management channels paired with high-volume intake fans).
Handles real-time multi-variable trajectory benchmarking, protein-ligand interaction analytics, and automated conformational sampling.
450mm clearance chassis (Designed with ample horizontal clearance to house massive scientific hardware safely).
- GPU: NVIDIA GeForce RTX 5090 32GB (Configured for massive tensor throughput, CUDA-accelerated molecular dynamics engines like NAMD/GROMACS, and quantum chemistry computations)
- CPU: AMD Ryzen 9 9950X (Massive multi-threaded architecture with extensive cache depth for rapid parallel scientific computations and simulation scheduling)
- Motherboard: MSI PRO Z790-A MAX WIFI (Stable enterprise connectivity and robust power phases)
- RAM: 128GB DDR5-6000MHz High-Capacity Scientific Computing Kit
- Storage: 4TB PCIe 5.0 NVMe SSD (Extreme read/write bandwidth for instant loading of massive simulation trajectories and structural datasets)
- Power Supply: 1600W Titanium Certified Clean-Rail Modular PSU
- Cooling: 420mm High-Performance Liquid Cooling Array
RAM Expansion to 256GB (Plus £450): Essential for handling massive conformational sampling pools.
Storage Expansion to 8TB NVMe (Plus £680): Necessary to maintain optimal read speeds across complex structural repositories.
Power Supply Upgrade to Redundant Units (Plus £320): Recommended for total electrical redundancy.
Trajectory Benchmarking: Instantaneous analytical feedback.
Virtual Reality & Gaming: 140–180 FPS.
Peak load registers at 820W. Powered comfortably by a 1600W Titanium modular rail unit. This custom PCA can be used for trajectory benchmarking, protein-ligand interaction analytics, conformational sampling, and bioinformatics.
Green Tech Science Lambda X
Phanteks Enthoo Pro 2 Server-Grade Full Tower (Heavy-duty server layout built for zero-failure thermal operation).
Optimized for running automated simulation pipeline orchestration and high-end predictive structural energy fine-tuning tasks.
503mm clearance chassis (Engineered precisely to accommodate massive multi-card setups and heavy cooling blocks).
- GPU: NVIDIA GeForce RTX 5090 32GB (Configured for massive tensor throughput, CUDA-accelerated molecular dynamics engines like NAMD/GROMACS, and quantum chemistry computations)
- CPU: Intel Core i9-14900KS (Extreme single-core turbo frequency for rapid serial processing steps and simulation bootstrapping)
- Motherboard: ASUS ProArt X870E-CREATOR WIFI (Robust PCIe lane bifurcation for multi-device expansion)
- RAM: 128GB DDR5-6000MHz High-Capacity Scientific Computing Kit
- Storage: 4TB PCIe 5.0 NVMe SSD (Extreme read/write bandwidth for instant loading of massive simulation trajectories and structural datasets)
- Power Supply: 1600W Titanium Certified Clean-Rail Modular PSU
- Cooling: 420mm High-Performance Liquid Cooling Array
RAM Expansion to 256GB (Plus £450): Essential if you plan on executing large-scale memory-heavy molecular calculations.
Storage Upgrade to 8TB NVMe (Plus £680): Necessary to prevent storage bottlenecks during prolonged multi-simulation log exports.
Power Supply Upgrade to Redundant Units (Plus £320): Recommended for mission-critical laboratory deployments.
Pipeline Performance: Lightning-fast calculation rendering.
Esports & Simulation: Maximum possible frame pacing.
Draws ~870W under stress. Maintained securely by a 1600W Titanium power unit. This custom PCA can be used for simulation pipeline orchestration, structural energy fine-tuning, computational chemistry, and research workloads.
Green Tech Science Mu XI
Corsair 1000D Super-Tower (Flagship architectural chassis designed for elite multi-system scientific research laboratories).
Handles expansive deep learning model hosting for real-time molecular interaction anomaly detection and automated screening analysis.
400mm clearance chassis (Designed with high-clearance mounting slots for massive modern 50-series cards).
- GPU: NVIDIA GeForce RTX 5090 32GB (Configured for massive tensor throughput, CUDA-accelerated molecular dynamics engines like NAMD/GROMACS, and quantum chemistry computations)
- CPU: AMD Ryzen 9 9950X3D (Massive multi-threaded architecture with extensive cache depth for rapid parallel scientific computations and simulation scheduling)
- Motherboard: MSI MEG Z790 GODLIKE WIFI (Enterprise-grade feature set and rock-solid power stages)
- RAM: 128GB DDR5-6000MHz High-Capacity Scientific Computing Kit
- Storage: 4TB PCIe 5.0 NVMe SSD (Extreme read/write bandwidth for instant loading of massive simulation trajectories and structural datasets)
- Power Supply: 1600W Titanium Certified Clean-Rail Modular PSU
- Cooling: 420mm High-Performance Liquid Cooling Array
RAM Expansion to 256GB (Plus £450): Essential for preventing bottlenecks during heavy parallelized screening scans.
Storage Expansion to 8TB NVMe (Plus £680): Necessary to store vast amounts of high-speed local research archives.
Power Supply Upgrade to Redundant Units (Plus £320): Recommended for absolute electrical reliability.
High-Refresh Screening Suites: 150–190 FPS across demanding scientific applications.
Simulation & Modeling: Unmatched CPU and GPU synchronization.
Peak load registers at 840W. Supported reliably by a 1600W Titanium power rail setup. This custom PCA can be used for molecular interaction anomaly detection, automated screening, bioinformatics, and scientific research.
Green Tech Science Nu XII
Fractal Design Define 7 XL Full-Tower (Silent enterprise frame built for maximum long-term stability under heavy molecular simulation workloads).
Optimized for processing high-throughput structural dataset indexing and automated trajectory validation pipelines.
549mm clearance chassis (Tailored carefully for spacious component fitting and massive scientific hardware).
- GPU: NVIDIA GeForce RTX 5090 32GB (Configured for massive tensor throughput, CUDA-accelerated molecular dynamics engines like NAMD/GROMACS, and quantum chemistry computations)
- CPU: Intel Core i9-14900KS (Extreme single-core turbo frequency for rapid serial processing steps and simulation bootstrapping)
- Motherboard: ASUS ProArt X870E-CREATOR WIFI (Robust PCIe lane bifurcation for multi-device expansion)
- RAM: 128GB DDR5-6000MHz High-Capacity Scientific Computing Kit
- Storage: 4TB PCIe 5.0 NVMe SSD (Extreme read/write bandwidth for instant loading of massive simulation trajectories and structural datasets)
- Power Supply: 1600W Titanium Certified Clean-Rail Modular PSU
- Cooling: 420mm High-Performance Liquid Cooling Array
RAM Expansion to 256GB (Plus £450): Essential if you want seamless operation during heavy multi-app molecular tasks.
Storage Upgrade to 8TB NVMe (Plus £680): Necessary for storing massive professional trajectory timelines and backups.
Power Supply Upgrade to Redundant Units (Plus £320): Recommended for maintaining continuous operational uptime.
Ultimate Experience: 140–170 FPS with uncompromised visual settings.
Workstation Processing: Extreme multi-core production speeds.
System peak sits near 880W. Backed safely by a 1600W Titanium modular power supply. This custom PCA can be used for structural dataset indexing, trajectory validation, high-performance simulation, and secure scientific data processing.