IoT
SenSen
How DiGiCOR and ADLINK helped SenSen in their smart cities project involving parking operations, number plate recognition, and driving distractions
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From data science workstations to multi-node GPU clusters, DiGiCOR delivers AI and ML solutions designed for your workload.
Cutting-edge AI and ML solutions featuring AMD EPYC™, Intel® Xeon® Scalable, NVIDIA® GPUs, and AMD Instinct™ to tackle challenges across industries effectively.
Support various AI workloads, such as image recognition, natural language processing, computer vision, speech synthesis, fraud detection, genomics, weather forecasting, and more.
Extend your warranty plan from 3 years to up to 5 years, ensuring extended protection for your DiGiCOR products.
AI is no longer limited to isolated projects. It is becoming the engine of innovation across industries.
To harness this potential, enterprises need AI Factories: scalable, production-ready environments
that combine high-performance infrastructure, AI-optimised software, and secure data pipelines.
Our Partner, HPE, in collaboration with NVIDIA, is leading the way in building AI Factories that help organisations move from experimentation to full-scale AI adoption. These environments enable you to:
We can help you design your AI Factory, tailored to your data, infrastructure, and business goals. From blueprint to deployment, we bring the expertise and partnerships to turn your AI vision into a scalable reality.
Multi-GPU servers purpose-built for advanced AI training, inference, and production deployment. Scale from 2 to 8 GPUs per system.
Multi-GPU servers purpose-built for advanced AI training, inference, and production deployment. Scale from 2 to 8 GPUs per system.
Built for AI breakthroughs. Experience unparalleled AI performance with the NVIDIA GB10 Grace Blackwell Superchip in a compact size.

High-performance NVMe tiers for training, combined with scalable HDD capacity for dataset retention. Integrated with backup and recovery.
Compact, ruggedised, and IoT-ready systems built for AI workloads at the edge, enabling real-time decision-making.
Explore how industries are being transformed through AI solutions — from breakthroughs in healthcare to real-time visualisation and edge computing at scale.
Overcome the biggest challenges in AI computing: This white paper introduces key factors when designing for large-scale AI training and inference solutions.
If your organisation is pushing the boundaries in AI, research, or HPC, you know not every workload fits the public cloud. Sometimes, your data is too sensitive, too large, or just needs to be processed now.
How AMD EPYC and ARM processors differ in architecture, performance, and energy efficiency—helping teams align their hardware choices with specific workload demands and long-term scalability goals.
A comprehensive overview of cutting-edge infrastructure solutions—from GPU-powered servers and AI workstations to scalable storage and edge systems—designed to elevate performance, reliability, and business transformation across industries.
Highlights on AMD EPYC™ 9005 Series Processors' core density, memory bandwidth, and I/O that accelerate modern inference workloads.
With their leadership performance, exceptional energy efficiency and built-in security capabilities, AMD EPYC processors can be critical to enabling artificial intelligence solutions, extending and enriching workloads and activities across industries.
An HPE AI expert discusses how agentic AI is ushering in a new wave of productivity and automation in the modern enterprise.
Secure and unified data access is essential for AI success—it enhances the quality, reliability, and fairness of AI outputs by ensuring models are trained on complete, representative datasets, while also accelerating development by reducing time spent on data wrangling.
HPE Private Cloud AI delivered unified data access, strong governance, multi-tenant collaboration tools, and optimised performance—all of which help enterprises confidently scale generative AI initiatives while maintaining data integrity and operational efficiency
Discover how HPE, in collaboration with NVIDIA, is redefining enterprise AI with production-ready AI Factories designed to accelerate adoption and deliver measurable value.
HPE accelerates enterprises’ AI adoption by offering end-to-end lifecycle services via its HPE AI Services and Private Cloud AI solution—for fast, cost-efficient, and business-aligned AI outcomes.
Discover how to break free from disconnected AI pilots and unlock enterprise-wide scale with a unified, future-ready AI platform that turns silos into success.
Uncover how reimagining IT as an ‘AI factory’—with composable, multi-tenant infrastructure, cloud-like control, and observability—lets you build AI environments that scale with agility, performance, and precision.
Tired of your AI pilots going nowhere? Discover how HPE’s ready-to-run Private Cloud AI platform helps you break free—turning stalled experiments into secure, scalable, enterprise-grade AI deployments in hours
This white paper explores the hidden pitfalls holding back enterprise AI—from leadership blind spots and overconfidence to overlooked risks in data, ethics, and security—and reveals how to design an architecture that delivers sustainable business advantage