AI PCs & Edge AI
Local AI acceleration for productivity, media, development, automation and privacy-sensitive inference.
AI-ready compute platforms
Move AI from an ideato a working system.
Right-sized AI PCs, professional GPU workstations and GPU servers for development, fine-tuning, inference, computer vision, simulation and data science — engineered around the model, dataset and software stack.
Made in India OEMPan-India deploymentSLA-led support
AI PCsLocal productivity
GPUWorkstations & servers
POC → ScaleArchitecture pathway
SLADeployment support
Workload-led architecture
AI compute sized for what you actually run
GPU memory, CPU lanes, system memory, storage throughput, thermals, power and networking are selected together to avoid expensive bottlenecks.
GPU Workstations
Desk-side platforms for model development, data science, computer vision, rendering and simulation.
GPU Servers
Rack and tower systems for shared training, inference, virtualised GPU access and department-level AI.
High-Speed Storage
NVMe tiers and scalable storage planned around datasets, checkpoints and sustained pipeline throughput.
Networking & Scale-Out
High-bandwidth connectivity for multi-GPU, distributed workloads and data-centre integration.
POC & Validation
Driver, framework, model and thermal validation before production procurement and rollout.
Software & platform readiness
Compatible with leading AI development ecosystems
We configure the platform around the required accelerator vendor, operating system, framework versions, model size and deployment target.
Frameworks
GPU & Acceleration
GenAI & Data Science
Deployment & MLOps
Compatibility depends on the selected hardware configuration, operating system, drivers, application version and software-vendor requirements. Third-party licences and vendor certifications are supplied separately where applicable.
Software-to-system guide
Choose an itGO system for your AI software stack
Start with the applications, model size, dataset and expected concurrency—not only the processor name. These product families provide practical starting points that can be configured and validated for your chosen framework.
AI development & local inference
itGO Nova 520
A configurable Ryzen 5 desktop for Python development, data preparation, local experimentation and entry-level GPU acceleration.
Recommended for: learning, prototypes, classical ML, data analysis and smaller local models with an appropriately selected GPU.
View product details →
Balanced AMD workstation
itGO Apex 720
A Ryzen 7 workstation platform for heavier multitasking, creative AI, engineering workflows, preprocessing and development environments.
Recommended for: developers and creators who need additional CPU throughput, memory capacity and configurable professional graphics.
View product details →
High-performance AI workstation
itGO Proxima 910
A Core i9 workstation with high memory capacity and support for high-end NVIDIA graphics configurations for demanding professional workloads.
Recommended for: computer vision, GPU-accelerated data science, GenAI development, rendering and advanced local inference.
View product details →Enterprise & mission-critical
itGO Proxima 1010
A Xeon-class expandable workstation for large memory footprints, substantial storage, enterprise graphics and sustained professional workloads.
Recommended for: research teams, enterprise AI, large datasets, simulation, shared workflows and applications requiring Xeon-class expansion.
View product details →Scale beyond the workstation
itGO Catalyst servers for shared and production AI
Move from individual development to centralised inference, shared GPU access, larger memory pools, protected storage and rack deployment. Final server architecture is selected from the model, concurrency, GPU memory, data pipeline, network and facility requirements.
Intel shared AI server
itGO Catalyst CX-9000
An Intel-based server family option for central AI services, virtualised development environments, data processing and department-level infrastructure.
Recommended for: shared development, model serving, data pipelines and controlled multi-user environments.
View server details →Intel scale-up server
itGO Catalyst CX-12000
A higher-tier Intel Catalyst platform for expansion-focused deployments requiring additional compute, memory, storage and accelerator planning.
Recommended for: larger inference services, private AI platforms, analytics and scale-up infrastructure defined through a validated BOQ.
View server details →
AMD EPYC AI server
itGO Catalyst AX-6000
An AMD EPYC rack or tower server supporting ECC memory, RAID-ready storage, redundant power options and professional NVIDIA graphics configurations.
Recommended for: memory-intensive data science, virtualisation, shared compute, protected datasets and production services.
View server details →AMD expansion platform
itGO Catalyst AX-14000
A higher-scale AMD Catalyst server family for growth-oriented AI, HPC and data-centre deployments where chassis and accelerator expansion are central.
Recommended for: enterprise AI platforms, research infrastructure and larger deployments requiring a custom rack-level architecture.
View server details →Product selection is indicative. Final performance and compatibility depend on the exact CPU, GPU, GPU memory, system memory, storage, operating system, driver, framework and model configuration. Software licences are separate unless included in the approved proposal.
Across AI workloads
Platforms for development, inference and visual computing
Start with a validated proof of concept and preserve a clear path to shared, rack-scale or production infrastructure.
Generative AI & LLMs
Local assistants, RAG, model evaluation, fine-tuning and controlled enterprise inference.
Computer Vision
Inspection, analytics, surveillance, OCR, imaging and edge-inference development.
Data Science
Large datasets, forecasting, analytics, feature engineering and accelerated notebooks.
Engineering & Simulation
CAE, scientific computing, visualisation and GPU-accelerated technical workloads.
Media & 3D
Rendering, virtual production, editing, animation and AI-assisted creative pipelines.
Research & Education
Shared lab workstations, faculty research, student projects and departmental GPU servers.
Delivery methodology
From discovery to dependable operations
One accountable team coordinates solution design, validation, fulfilment, deployment and support so technical and procurement stakeholders have clear ownership at every stage.
Profile
Model, data, precision, latency and concurrency.
Architect
GPU, CPU, RAM, storage, network and power.
Validate
Framework, driver, container and benchmark testing.
Deploy
Imaging, integration, documentation and handover.
Scale
Support, monitoring and capacity roadmap.
Explore the itGO ecosystem
Related computing solutions
Connect endpoint, infrastructure and specialised workload requirements through one OEM partner and a consistent lifecycle-support model.
Talk to a solution specialist
Turn your AI workload into a validated bill of materials.
Share the model, dataset size, framework, user count and performance objective. Our specialists will recommend an architecture without unnecessary oversizing.
