Build, train, simulate and deploy across HUMAIN AI Cloud, HPCaaS, private on-premises systems and the edge. Access high-performance infrastructure, platform services and specialist support through deployment models designed for sovereignty, control and scale.
AI-optimized cloud infrastructure and platform services for training, inference, data-intensive applications and enterprise workloads, combining accelerated and general-purpose compute, data services, managed orchestration and governance.
Managed HPC capacity, a workload platform, day-to-day operations and specialist expertise for simulation, research, engineering and AI. Teams retain familiar tools while HUMAIN helps assess, onboard, optimize and operate eligible workloads across HUMAIN, partner and customer environments.
A managed on-premises AI platform built on AMD Instinct MI308 GPU acceleration and NVMe SSD storage for governed inference and applications close to sensitive data and time-critical operations.
Turn Edge into AI Agents that provide searchable events and prioritized operational insights, powered by HUMAIN edge boxes—enabling faster responses through local processing while transferring only the data or metadata needed.
One foundation across the AI lifecycle
Run distributed training and fine-tuning on accelerated infrastructure, with platform services to submit, monitor and manage jobs.
Serve models across multiple compute architectures, with tenancy controls, monitoring and usage visibility for production teams.
Run compatible models closer to devices and data sources for faster response, local processing and continued operation when connectivity is limited.
Use scalable HPC capacity for simulation, scientific research, engineering and AI workloads, with regional deployment and on-demand options.
Choose where data is stored, processed and governed according to organizational and workload requirements.
Maintain flexibility across infrastructure, models and deployment choices instead of relying on a single technology path.
Maintain visibility over access, configuration, monitoring and day-to-day operations across the AI environment.
KAUST
Yes. HUMAIN Compute is designed around deployment patterns that span sovereign cloud, customer environments and the edge. The final architecture depends on data movement, latency, network, security and operational requirements.
HUMAIN aligns workload placement, data residency, identity, access, encryption, logging and operating responsibilities to the required sovereignty model. For each service and location, the data-plane, control-plane and support boundaries are defined through the service architecture and terms.
The portfolio includes HUMAIN AI Cloud for cloud infrastructure and platform services, HUMAIN HPCaaS for managed scientific and engineering computing, HUMAIN AI in a Box for private on-premises and edge AI, and HUMAIN Edge AI for video intelligence close to operations.
HPC as a Service combines purpose-built compute, high-performance data paths and networking, supported schedulers, reproducible software environments, governance, managed operations and specialist services. It is intended for batch, parallel and tightly coupled scientific or engineering workloads, not simply access to a standalone CPU or GPU instance. For example, an eligible multi-node CFD simulation may require scheduler-aware scaling, low-latency interconnects, parallel storage, licensed solver integration, monitoring and performance tuning as one service.
HUMAIN assesses application versions, dependencies, licensing, data paths, job scripts and scaling behavior before migration. Supported Slurm and Kubernetes workflows can retain familiar submission patterns; other software and scheduler requirements should be confirmed during solution design.
Support can span workload assessment, architecture, software and data onboarding, benchmarking, performance tuning, production migration, managed platform operations and domain-specific workflow guidance. The contracted scope and responsibilities should be explicit for each engagement.
Start with workload duration, parallelism, queue sensitivity, data location, security, capacity certainty and economics. HUMAIN can map those needs to an eligible on-demand, reserved, dedicated, federated or customer-owned model.
Each product page should link to its current datasheet, availability matrix, architecture, security documentation, service terms and supported integrations. If a resource is not public, label it as available from the solution team instead of implying that it is online.
From AI cloud and managed HPC to private on-premises platforms and edge intelligence, HUMAIN helps teams match infrastructure, services and expertise to the workload - with the control to operate where data and decisions belong.
Talk To Our TeamA global AI cloud for the most demanding workloads.
From accelerated compute to production operations, HUMAIN brings infrastructure, data, orchestration and governance together in one “enterprise-ready AI cloud”
HUMAIN AI Cloud gives organizations in Saudi Arabia and global markets a unified foundation for model training, fine-tuning, inference, data platforms and enterprise applications. Teams can start with the infrastructure their workloads require, add managed platform services and extend into private or edge environments when latency, data location or policy demands it.
Run eligible training, fine-tuning and inference workloads on NVIDIA B300 GPU, AMD MI355x and Qualcomm Cloud AI 100 accelerator profiles.
Use AMD & Intel processor-based compute for applications, control planes, data services and supporting workloads within the same cloud architecture.
Move and store data across preparation, training, checkpoints, model artifacts and production workloads using block, object, file and high-performance storage, with options for backup and archive.
Create isolated cloud networks with private connectivity, routing, load balancing and traffic controls for enterprise and hybrid architectures.
Deploy portable training, inference and application environments with repeatable provisioning, scaling and lifecycle management.
Place transactional, analytical, streaming, caching and vector services close to the applications and models that depend on them.
Monitor infrastructure and applications, centralize logs and audit records, and support backup, recovery and DevOps workflows from one operating model.
Apply identity, access, network and audit controls while aligning workload placement with organizational residency and operating requirements.
Launch, scale and manage general-purpose and GPU-accelerated virtual machines with the flexibility and performance needed for every stage of your AI pipeline, from experimentation to production.
Build, train, evaluate and serve AI with scalable storage designed for data-intensive workloads. Choose from S3-compatible object storage, a high-performance parallel file system and block storage to match each workload's performance and capacity needs.
Run workloads on HUMAIN's sovereign cloud, which is built, operated, and governed entirely within Saudi Arabia. Your data stays in the Kingdom under local regulation and is handled only by approved in-Kingdom personnel.
Use HUMAIN AI in a Box when data is highly sensitive or regulated and requires air-gapped sovereignty, when it's too large, noisy, or costly to move elsewhere, when decisions must happen in real time close to the source, and when processing has to continue even without a network connection.
Connect HUMAIN AI Cloud with customer systems and edge deployments so processing and inference can occur where the workload requires them.
Design applications and AI services for users and operations across markets, placing workloads according to performance, latency, residency, security and regulatory needs.
Defend workloads with DDoS protection, firewalls, vulnerability management and continuous threat detection, backed by security monitoring and defined incident response.
Operate on infrastructure designed to align with local and international cybersecurity frameworks and standards, with documented controls, regular assessments and audit evidence to support your own compliance.
Scale compute and data services for model development, experimentation and checkpoint-intensive workloads.
Deploy governed model-serving environments close to applications and data while managing performance, availability and operations.
Run containerized applications, private AI services and the data systems that support them on one integrated cloud foundation.
Run compute-intensive analysis in HUMAIN AI Cloud or move scheduler-driven and tightly coupled workloads to HUMAIN HPCaaS.
Explore data and prototype models in managed notebooks, track experiments and benchmark models for quality, safety and cost before promoting them to production..
Build assistants, retrieval-augmented applications and agents that connect models to enterprise data and tools through OpenAI-compatible APIs, with access controls and usage visibility for every application.
Architecture and format: Blackwell Ultra; SXM/HGX platform
Memory: 288 GB HBM3e; up to 8 TB/s
Technical profile: FP4, FP8/FP6 and FP16/BF16 Tensor Core acceleration with fifth-generation NVLink
Best suited for: Large-model training, AI reasoning, multimodal AI and high-throughput inference
Architecture and format: Purpose-built inference accelerator; PCIe family
Memory: Up to 128 GB LPDDR4x; up to 548 GB/s
Technical profile: Up to 870 TOPS INT8 and 288 TFLOPS FP16; 75–150 W depending on SKU
Best suited for: Power-efficient LLM, NLP, vision and generative AI inference
Architecture and format: CDNA 4; OAM module with PCIe 5.0
Memory: 288 GB HBM3E; 8 TB/s
Technical profile: Up to 10.1 PFLOPS MXFP4/MXFP6 and 5 PFLOPS FP8
Best suited for: Large-model training and inference, scientific AI and HPC workloads
FUSE connects applications to models hosted in your environment. Developers work with familiar SDKs and REST interfaces, while platform teams manage credentials, usage, performance and governance from one control layer.
Deploy on-premises or in a private cloud so models, prompts, responses and operational data remain within the environment you control.
Use an OpenAI-compatible REST surface for chat completions, text completions, model discovery and streaming responses.
Host models selected for your use case and manage how teams and applications access them.
Track request volume, latency, errors, throughput, token consumption, model usage and activity at the API-key level.
Production AI where data and decisions happen.
Run governed inference, model services and AI applications close to operations, with a platform sized and managed for the workload.
HUMAIN AI in a Box is a pre-integrated platform for private on-premises and edge AI. It combines accelerated infrastructure, model and application services, security, observability and lifecycle operations in a deployable environment.
Some AI workloads need to stay close to the data. Connectivity may be limited, response time may be critical, or policy may require local processing. AI in a Box brings the core platform services into the customer environment.
Serve approved models on a validated AMD Instinct MI308 configuration sized for latency, throughput, concurrency and resilience requirements.
Manage model onboarding, versioning, storage, deployment, endpoints and serving through one operating experience.
Host containerized AI applications and supporting services with repeatable deployment and management.
Track infrastructure, applications, models, logs and alerts through central dashboards, with defined update and support processes.
Apply identity, encrypted communications, network segmentation, workload isolation, logging and controlled software updates.
Process sensitive or high-volume data locally when policy, bandwidth or operating context makes centralized processing impractical.
Connect approved data sources, applications and central management workflows through supported interfaces.
Select a validated AMD Instinct MI308 and NVMe storage configuration based on model profile, traffic, data, integrations and resilience rather than a one-size-fits-all appliance.
Run inference near devices or facilities while centralizing selected management, model and application workflows.
Keep AI inside the organization's environment for local processing, low latency, data control or tighter operational separation.
Select a validated AMD Instinct MI308 and NVMe storage configuration based on model profile, traffic, data, integrations and resilience rather than a one-size-fits-all appliance.
Turn video into real-time operational intelligence.
Turn visual signals into events, metadata and operational action.
Analyze events closer to where video is captured, helping teams respond sooner, reduce unnecessary data movement and improve physical operations.
HUMAIN AI Camera Solutions brings intelligent video analytics to new and existing camera environments. Organizations can deploy purpose-built AI smart cameras or connect compatible legacy cameras to HUMAIN Edge AI Boxes, adding AI capabilities without replacing their entire camera infrastructure.
Match camera, field of view, lighting, connectivity and site design to the operational requirement.
Run supported detection, classification and event logic at the camera, edge node or nearby infrastructure.
Convert relevant signals into searchable metadata and prioritized events rather than forwarding every frame for review.
Send authorized events and metadata to video-management, operations, analytics, alerting and business-workflow systems.
Monitor quality and performance, tune rules and models, manage device and software lifecycles, and maintain governance over time.
Process relevant events close to the camera for faster response, reduced dependence on centralized compute and more selective data movement.
Create structured, time-stamped events and searchable metadata for dashboards, alerts, investigations and automated workflows.
Connect compatible cameras, video-management, network, cloud, messaging and analytics systems through supported interfaces and protocols.
Apply deployment-specific controls to raw video, derived metadata, retention, access, audit, model approval, human oversight and legal review.
Select camera styles, optics, compute placement and connectivity for indoor, outdoor, wide-area and focused monitoring scenarios.
Define the event, response workflow, camera coverage, integration points, privacy constraints and success measures.
Test representative conditions, measure detection quality and latency, and validate operator and system workflows before scaling.
Roll out approved configurations, connect operational systems and establish monitoring, support and change-control processes.
Track performance and drift, tune analytics, manage updates and review governance as sites and requirements evolve.
The Sovereign HPC platform for organizations worldwide.
Modern AI, research and engineering require more than compute capacity.
Organizations need high-performance computing that is secure, governed and flexible enough to operate across sovereign, partner and customer-managed environments. HUMAIN HPCaaS delivers a unified Sovereign HPC platform that simplifies access to high-performance computing while preserving enterprise governance, operational control and deployment flexibility.
HPC capacity, platform and expertise, delivered as a managed service.
Access purpose-built CPU- and GPU-accelerated infrastructure, advanced HPC services and specialists who help move workloads from assessment to production.
HUMAIN HPCaaS is more than access to compute nodes. It brings capacity, workload orchestration, data services, governance and expert support together as one service for demanding scientific, engineering and AI workloads. Researchers and engineers keep familiar ways of working, while technology leaders gain a governed operating model across HUMAIN-managed, trusted partner and customer-owned environments. The result is a clearer path from queued work to validated, production-scale computation.
Match tightly coupled simulation, high-throughput studies, high-memory analysis and GPU- accelerated workflows to the appropriate compute profile.
Submit batch and interactive workloads through browser, command-line or API experiences. Use supported schedulers, repeatable software environments, job monitoring, usage controls and project governance through one service layer.
Support workload assessment, application onboarding, data staging, benchmarking, performance tuning and production operations through HUMAIN specialists and approved partners.
Run supported Slurm and Kubernetes workflows without re-engineering established job submission patterns. Coordinate capacity, queues and workloads across eligible clusters through one control experience.
Launch JupyterLab, browser-based VS Code, Linux desktops and supported visualization or pre/post-processing environments close to the data and compute.
Use curated, versioned environments for compilers, MPI, scientific libraries and supported applications, with custom stacks delivered through modules or containers where appropriate.
Stage input data, feed parallel jobs, retain checkpoints and results, and move completed data through scratch, persistent, object, backup and archive services according to workload policy.
Connect eligible HUMAIN, partner and customer capacity while maintaining a consistent access, workload and governance experience.
Manage identity, project spaces, quotas, budgets, auditability and chargeback, with usage visibility by user, job, project or organizational unit.
Monitor jobs, queues, capacity, node health and platform services, with defined operational ownership, support and escalation paths for production environments.
