Enterprise AI Compute Infrastructure.
Built for Business.
From AI-Ready PCs to GPU Workstations to AI Starter Servers—designed for enterprise deployment discipline, security-first posture, and predictable pilot-to-rollout paths.
Security & control. Predictable performance. Fits existing IT from endpoints → server room.
Why On-Prem AI Compute?
3 reasons enterprises choose on-premise AI infrastructure.
- Security & Control Keep sensitive data within your environment (on-prem / private). Full control over data residency, compliance requirements, and security policies without external dependencies.
- Predictable Performance Dedicated capacity for pilots and rollouts. No shared resources, no variable latency, no unpredictable costs—consistent performance you can plan around.
- Deployability Fits existing IT from endpoints → server room. Integrates with your current infrastructure, security protocols, and IT operations without requiring new paradigms.
Three product categories. One adoption path.
From endpoint AI to team inference—hardware designed for enterprise AI deployment at every scale.
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AI-Ready PCs (NPU-first endpoints)
Everyday enterprise AI at the endpoint - productivity, support ops, field teams, and controlled edge endpoints.
GPU Workstations
Acceleration for AI development and computer vision build/test — faster iteration, faster pilots.
AI Starter Servers
Team inference and on-prem model serving — internal AI apps, private assistants, department inference.
Common enterprise use-cases we enable
From secure productivity AI to vision inference—hardware matched to real enterprise workloads.
Endpoint AI
On-device AI for knowledge workers and distributed teams.
- Secure productivity AI for knowledge workers
- Support/back-office assist for shared services
- Field/mobile AI for distributed teams
Vision & AI Development
Accelerated environments for AI/ML development and validation.
- Computer vision development and validation
- AI dev environments for faster iteration
- Rapid PoCs for innovation programs
Inference & Serving
On-prem model serving for internal teams and applications.
- Private AI assistant serving for internal teams
- Department inference APIs for internal apps
- Vision inference for production streams
Built for enterprise AI teams and solution partners
AI adopters running programs and AI builders delivering outcomes—two paths, one platform.
AI Adopters
Enterprise IT, GCCs, BFSI, Manufacturing, Public sector, Education — teams running AI pilots, CoEs, and production programs.
AI Builders
ISVs building enterprise AI apps. SIs implementing AI programs. Solution providers delivering turnkey AI outcomes.
A repeatable path from pilot → rollout
Structured approach from use-case discovery to production deployment.
Use-case discovery
(outcome + constraints)
Form factor selection
(PC / workstation / server)
Sizing & reference configuration
(users + concurrency + data posture)
Pilot & rollout plan
(validation + handover checklist)
Packaged directions we can co-build
Pre-validated bundles for common enterprise AI deployments.
Endpoint AI Bundle
(AI-Ready PCs + productivity/support workflows)
Vision Bundle
(workstations/servers + CV pipeline + deployment)
Private Assistant Bundle
(starter server + internal assistant + governance)
Why RDP for AI Computing
Hardware validated for AI workloads
Not generic compute. Configurations tested for AI frameworks, GPU utilization, and inference performance out of the box.
Use-case aligned sizing
NPU endpoints for productivity AI, GPU workstations for dev, multi-GPU servers for inference. Right-sized for real workloads, not over-spec'd.
Partner-ready foundation
ISVs and SIs can build solutions on validated hardware with clear deployment handoffs. No guesswork, no finger-pointing.
Pilot-to-production discipline
Start with 5 units, validate with real workloads, scale to 500 with the same specs and support. No surprises at scale.
We're open for collaborations
If you're an ISV/SI building enterprise AI solutions, we can co-build turnkey AI offerings—vision pipelines, private assistants, endpoint AI—with validated compute and a clear deployment handover.