- Language models
- Computer vision
- Generative AI
- Scientific research
- Natural language processing
- Recommendation systems
- Financial modelling
- Robotics
- Visualisation and rendering
- Code processing and generation
- Efficient resource allocation
- Conclusion
- Interested?
AI Laboratory: practical application scenarios
Building your own AI laboratory based on servers with NVIDIA RTX 6000 Blackwell Server Edition accelerators is like getting a superpower for working with artificial intelligence at your disposal. Let’s dive into concrete application scenarios for the most in-demand areas!
🤖Working with large language models
Fine-tuning and adapting models
Corporate assistants. Imagine: you take an open model and turn it into a real expert on your company’s internal processes! It knows all regulations, documents and knowledge bases by heart. Thanks to modern parameter-efficient training techniques — LoRA (Low-Rank Adaptation) and QLoRA — you don’t need oceans of VRAM. These smart approaches let you adapt giant 70-billion-parameter models using only a few percent of their total parameters. The task becomes feasible even on a single accelerator!
Industry experts. Medical organisations create digital doctors trained on medical literature and clinical cases. Law firms create virtual lawyers who know legislation and case law inside out. Financial organisations create analysts who have digested terabytes of market data. And all of this happens many times faster than in the cloud! ⚡
Multilingual solutions. Four accelerators are like four parallel universes for your projects. You can simultaneously adapt models in different languages or build specialised solutions for various business tasks. No waiting in line!
Deploying models for inference
Internal corporate assistant. Your laboratory can handle a flood of concurrent requests! A 70-billion-parameter model runs perfectly on a single accelerator when quantised down to 8-bit or 4-bit precision — it comfortably fits into 96 GB of memory. And when you distribute the load across four accelerators, the system can talk to hundreds of users at the same time. 💪
Real-time content generation. Marketing agencies churn out thousands of variations of ad copy, product descriptions and video scripts like from a cornucopia. Publishers draft articles, fact-check, and adapt texts for different audiences on the fly.
Information analysis and extraction. Huge collections of documents — contracts, research papers, patents — are transformed into structured information. The system itself finds patterns and organises everything neatly on the shelf.
💼 Who it’s for: 🏦 Banks and finance — corporate assistants for consulting ⚖️ Law firms — assistants that know the law 🏥 Medicine and pharma — digital helpers for doctors 🛒 Retail and e-commerce — automated customer support 📡 Telecom — intelligent chatbots 🏭 Industry — analysis of technical documentation 🎓 Education — automated learning and knowledge testing 🏢 Public sector — processing citizen requests
👁️Computer vision
Training recognition models
Industrial quality control. Manufacturing companies train digital inspectors that detect the tiniest defects on the conveyor. The Blackwell architecture demonstrates an impressive performance boost — quality control systems are developed in record time!
Medical diagnostics. Analysis of X-rays, CT and MRI scans, histology slides — all of this now happens at incredible speed. Four accelerators let you train multiple specialised models for different types of studies simultaneously. It’s like having a team of experts working in parallel! 🏥
Autonomous systems. Developing “eyes” for self-driving vehicles, warehouse robots, drones. The ability to iterate models rapidly and test different architectures without worrying about cloud budgets is priceless.
Real-time video processing
Video surveillance systems. Analysing streams from many cameras at once — object detection, abnormal behaviour detection, visitor counting, queue analysis. Compute power makes it possible to process several high-definition video streams in parallel like a true digital all-seeing guardian! 📹
Sports analytics. Automatically tracking each player and every ball movement, analysing tactics, generating real-time statistics. Build databases of game situations, study matches under a microscope!
Content moderation. Automatically checking uploaded video for platform policy compliance, detecting prohibited content, protecting copyrights — everything happens instantly and non-stop.
💼 Who it’s for: 🏭 Manufacturing — conveyor quality control 🏥 Medicine — image analysis and diagnostics 🚗 Automotive — developing autopilot systems 🛒 Retail — analysing customer behaviour 🏗️ Construction — site monitoring, safety control 🌾 AgriTech — crop monitoring, plant disease detection 🚔 Security — video analytics, object recognition ✈️ Logistics — warehouse and sorting automation
🎨Generative artificial intelligence
Image and video generation
Creative industries. Generating concept art, visualising design ideas, creating endless variations of logos and packaging. Advertising agencies generate hundreds of visuals for campaigns and then pick the gems for final refinement.
Video production. Modern video generation models are voracious beasts requiring colossal compute resources. Four powerful accelerators with huge memory volumes let you tame these models and create content in various resolutions — from quick prototypes to final materials of stunning quality! 🎬
Architectural visualisation. Generating photorealistic images of interiors and building exteriors based on dry blueprints and descriptions. Clients can see their future building before the first brick is laid!
Sound and music synthesis
Voice-over and dubbing. Generating natural-sounding speech for training materials, audiobooks, voice assistants. Creating multilingual dubbing while preserving all the original intonations — emotions are carried together with the words! 🎙️
Music production. Generating background music for videos, podcasts, games. Creating endless variations of melodies, experimenting with new sounds — the muse never leaves your studio!
💼 Who it’s for: 🎨 Creative agencies — mass visual generation 🎮 Game dev — creating game assets and concept art 🎬 Media and film — video content production 🏗️ Architecture — photorealistic project visualisation 🛒 E-commerce — generating product cards 🎵 Music industry — background music creation 📱 Marketing — automated content production 👕 Fashion — clothing design and collection visualisation
🔬Scientific research and modelling
Computational chemistry and biology
Drug discovery. Modelling the dance of molecules with protein targets, predicting properties of potential drug compounds. Protein structure prediction technologies work more efficiently thanks to modern tensor cores — it’s like having a supercomputer on your desk!
Genomics. Analysing genetic sequences, hunting for mutations, predicting gene expression. Processing sequencing data that used to drag on forever now completes in the blink of an eye.
Materials science. Predicting properties of new materials of the future, optimising alloy compositions, modelling nanostructures. The path from computer experiments to lab tests becomes a high-speed highway! 🧪
Climate modelling and meteorology
Weather forecasting. Modern AI-based weather models produce forecasts faster than traditional physics-based models. Large VRAM volumes allow working with highly detailed, incredibly precise data.
Climate change analysis. Processing satellite imagery to track changes in glaciers, forests, ocean currents. Predicting long-term climate trends — a peek into the planet’s future! 🌍
💼 Who it’s for: 💊 Pharma — new drug development 🧬 Biotech — genomic data analysis 🔬 Research institutes — molecular modelling ⚡ Energy — system optimisation and forecasting 🌍 Climatology — climate change modelling 🏭 Chemical industry — new material development 🚀 Aerospace — physical process simulation 🔋 Materials science — predicting material properties
💬Natural language processing for specialised tasks
Sentiment and emotion analysis
Brand reputation monitoring. Analysing a avalanche of mentions in social media, news and reviews. Detecting public opinion trends, predicting reputation crises before they flare up, evaluating ad campaign effectiveness in real time.
Customer request analysis. Automatic categorisation of support tickets, instant detection of urgent issues, deep analysis of customer satisfaction. The system itself generates recommendations for improving products!
Machine translation and localisation
Corporate translation. Creating specialised translation systems that speak your company’s language. This is especially critical for technical documentation where a mistake in a term can cost millions.
Software localisation. Automatic translation of app interfaces, documentation and marketing materials while preserving cultural nuances. Your application speaks each user’s native language! 🌐
💼 Who it’s for: 📞 Call centres — automated request processing 🛒 E-commerce — review and sentiment analysis 📰 Media — news monitoring and trend analysis 🏨 Hospitality — reputation management ⚖️ Law firms — contract and document analysis 🏥 Healthcare — processing medical records 🌐 International companies — machine translation of documentation 📊 Research agencies — social data analysis
🎯Recommendation systems and personalisation
E-commerce
Personal recommendations. Training complex models that remember everything: purchase history, views, search queries, seasonality and trends. Transformer-based models understand users’ long-term preferences and the context of the current session — like a personal consultant for every customer!
Dynamic pricing. Predicting optimal prices based on demand, competitive landscape and seasonality. Personalised discounts and offers to maximise conversion and profit — every price is tuned perfectly! 💰
Educational platforms
Adaptive learning. Creating personalised learning paths based on performance, learning pace and preferred formats. Automatically generating learning materials at the right difficulty level — like a personal tutor for each student!
Assessment and feedback. Automatic grading of essays, code and creative work with detailed comments. Generating additional exercises to work through weak spots — the system knows exactly where the student stumbled! 📚
💼 Who it’s for: 🛍️ Marketplaces — personalised product recommendations 🎬 Streaming services — content tailored to each user 📱 Social networks — personalised news feeds 🎓 EdTech — adaptive learning 🏨 Travel — hotel and route suggestions 📺 Media — personalised news feeds 💳 Fintech — matching financial products 🎵 Music services — creating personal playlists
📈Financial modelling and trading
Predictive analytics
Market forecasting. Training models on historical price data, trading volumes, news and macroeconomic indicators. Transformer models detect complex relationships and patterns that traditional statistical methods simply cannot see — like an X-ray for financial markets!
Credit risk assessment. Analysing a multitude of factors to precisely estimate default probability. Processing non-traditional data sources — social media activity, geolocation, purchase history. A complete picture of the borrower!
Fraud detection
Banking security. Training models on massive transaction volumes to detect anomalous patterns in real time. The ability to process millions of transactions with minimal latency means fraudsters won’t slip through! 🛡️
Insurance claims. Automatic verification of insurance claims, detection of suspicious cases, assessing the need for detailed investigation — protection from dishonest clients works around the clock.
💼 Who it’s for: 🏦 Banks — credit risk assessment 📈 Investment funds — algorithmic trading 💰 Crypto exchanges — volatility forecasting 🏢 Insurance companies — risk assessment and fraud detection 📊 Hedge funds — quantitative market analysis 💳 Fintech — scoring and underwriting ⚖️ Consulting — financial modelling for M&A 🛒 Retail — dynamic pricing
🤖Robotics and embedded systems
Control algorithm development
Industrial robots. Training manipulator robots for new tasks via imitation learning or reinforcement learning. Fast iteration in simulation before transferring to real hardware — robots learn in the virtual world and work in the real one!
Mobile robotics. Training navigation, trajectory planning and obstacle avoidance. Simulating countless scenarios to build truly reliable systems.
Reinforcement learning
Game agents. Creating complex game opponents, testing game balance. Four accelerators allow training an army of agents in parallel — the process speeds up many times over! 🎮
Process optimisation. Applying reinforcement learning to optimise manufacturing processes, logistics and energy management in smart buildings — AI finds solutions people would never think of!
💼 Who it’s for: 🏭 Manufacturing — training industrial robots 📦 Logistics — warehouse automation 🚗 Automotive — developing autopilots 🏥 Medicine — surgical simulators 🚜 Agriculture — autonomous farming machinery 🏗️ Construction — automating construction processes 🎮 Game dev — creating in-game AI agents 🏠 Smart Home — optimising smart home control
✨Visualisation and rendering
Accelerated rendering
Graphics performance. Fourth-generation ray tracing cores provide stunning acceleration! Integrating neural networks directly into the graphics pipeline enables the creation of high-quality images with incredible efficiency.
Interactive data visualisation. Researchers can interact with massive datasets — results of physical simulations, medical images, geological models — in real time. Rotate, zoom, change parameters with lightning-fast response! 🔍
Virtual and augmented reality
Training simulations. Creating realistic virtual environments to train surgeons, pilots and operators of hazardous equipment. Generating diverse scenarios for decision-making training — mistakes in the virtual world don’t cost lives!
Architectural walkthroughs. Interactive tours of planned buildings and districts in stunning quality. Clients walk through their future home even before construction begins! 🏗️
💼 Who it’s for: 🎬 Animation studios — high-quality rendering 🏗️ Architecture — interactive project tours 🏥 Medicine — 3D anatomical visualisation 🎮 Game dev — creating game worlds 🔬 Scientific visualisation — representing complex data 🏞️ VR/AR industry — building immersive environments 🚗 Automotive design — prototype visualisation 📐 Engineering — physical process simulation
💻Code processing and generation
AI-assisted programming
Autocomplete and refactoring. Deploying large code-specialised models (for example, the CodeLlama or StarCoder families with tens of billions of parameters). Generating functions from descriptions, automatic refactoring, detecting potential bugs — like having an experienced programmer partner at your side!
Test generation. Automatically creating unit tests, integration tests and test data based on code analysis. Development speeds up while quality improves!
Code documentation. Automatically generating comments, documentation and explanations of complex algorithms. Working with legacy code turns from a nightmare into a pleasure!
Security analysis
Vulnerability detection. Training models on databases of known vulnerabilities to automatically detect potential security issues. Analysing dependencies, checking for standards compliance — a digital guardian for your code security! 🔒
💼 Who it’s for: 💻 IT companies — speeding up product development 🏦 Fintech — automating banking system development 🎮 Game dev — generating game code 🔒 Cybersecurity — vulnerability detection 📱 Mobile development — automating app creation 🌐 Web studios — frontend code generation 🏭 Industrial systems — embedded systems development 🤖 Robotics — controller programming
⚙️Efficient resource allocation
The key advantage of the laboratory is the ability to solve many tasks at once thanks to four independent accelerators. Here’s how it works in practice:
Development and production. Two accelerators are working magic on a new model version, one serves the current production version for users, and the fourth is busy with experiments and prototyping. The innovation conveyor never stops!
Departments and projects. The marketing department generates texts and images on one accelerator, developers train a recommendation system on another, researchers experiment with new architectures on a third — all in parallel on a single infrastructure. Perfect harmony!
Batch and interactive processing. During off-hours, long training jobs run with full resource utilisation, while during working hours the resources are reallocated to interactive workloads with fast response times. The system runs 24/7 with maximum efficiency! ⏰
Server equipped with eight RTX PRO 6000 Blackwell Server Edition GPUs
⚠️Important note: RTX 6000 Blackwell Server Edition supports driver-level virtualisation (vGPU technology), which allows you to run several isolated working environments simultaneously. Although this differs from hardware-level resource partitioning in data centre accelerators with MIG technology (for example, H100 or B200), modern orchestration and containerisation tools (Docker, Kubernetes) efficiently manage task distribution, ensuring high hardware utilisation.
🎯Conclusion: turn your AI laboratory into reality
HYPERPC is your reliable partner in building AI infrastructure.
An artificial intelligence laboratory based on servers with NVIDIA RTX 6000 Blackwell Server Edition accelerators is a universal platform that covers a huge range of modern machine learning tasks. From adapting corporate language models to breakthrough scientific research, from generating creative content to the most complex financial analytics — the ability to solve many tasks at once, switch between projects in a flash and experiment without looking back at limitations turns such a laboratory into an incredibly powerful innovation tool! 🚀
Interested?
Go to the HYPERPC website, where you’ll find servers for any task — from compact workstations to powerful multi-processor systems with dozens of accelerators. Find the perfect solution for your project! 👉 Servers for any task