Sovereign AI, delivered.
For enterprises, governments and cloud service providers. Infrastructure by Dell, intelligence by Bud - one unified platform that brings everything GenAI together, ready to deploy across the Dell ecosystem.
Why enterprise AI adoption fails
GenAI today is like enterprise software before SAP — fragmented tools, manual integration and mounting technical debt. Different AI hardware, drivers, inference engines, gateways, guardrails, observability and virtualization systems, each chosen separately and integrated by hand.
Bud does for enterprise AI what SAP did for enterprise software: brings everything GenAI into one unified platform. Combined with Dell infrastructure, that becomes a complete end-to-end stack rather than a parts list.
Infrastructure by Dell. Intelligence by Bud.
For enterprises, governments and cloud service providers.
Dell brings infrastructure that is simplified, tailored and trusted — ready to deploy across the Dell ecosystem.
Dell AI Factory
The reference stack for enterprise AI infrastructure.
Dell Automation Platform
Provisioning and lifecycle automation across the fleet.
OpenManage Enterprise
Unified systems management and monitoring.
NativeEdge
Edge operations software for distributed deployments.
Eight layers, one operating layer.
Train, deploy, evaluate, build and consume — on a single stack rather than eight integrations.
Agent
A continuously-learning assistant that augments employees and can create agents on demand.
AI Foundry
One stack for multimodal inference, scaling, middleware, observability, evaluations, guardrails and governance.
Model Foundry
Private model training with low compute, memory, network and bandwidth requirements.
FCSP
GPU virtualization with MIG-level isolation, enabling 2× utilisation.
Pod
Private GPU-as-a-service and serverless GPU for researchers and teams.
Studio
An integrated studio for every enterprise user to consume models and build their own agents.
MCP Foundry
Seamless access to enterprise tools, workflows and data for agentic AI.
SENTRY
Zero-trust security, governance and compliance across GenAI and agentic infrastructure.
Eight reasons teams consolidate.
Where the numbers come from.
Performance advantage
~3× better performance on NVIDIA GPUs and ~1.5× on other hardware.
Inference stability
Up to 43% lower error rates than vLLM, TEI and Infinity in production workloads.
Cold start
12× faster cold starts for on-demand scaling and serverless deployments.
Fastest AI gateway
Sub-1ms latency for enterprise-grade inference.
Prompt & token optimisation
Up to 56% token savings through prompt and runtime optimization.
Guardrails on CPUs
100× better performance than A100 GPUs at the same accuracy, on commodity CPUs.
Scalability
GPU-optimized heterogeneous scaling with request-aware bin packing.
Model customization
Personalise models continuously on CPUs, with no fine-tuning step.
Natural language to agent
Create production-ready agents from a prompt, with no orchestration work.
Three deployments, measured.
Hex1 — India’s first commercially usable open-source Indic LLM
Pioneered with partner silicon, achieving faster training for India’s first commercially usable Indic model family.
Ralph Lauren — personalized stylist agent
Same accuracy, better performance, better TCO and 6.5× faster time-to-market against the prior frontier stack.
Infosys — information retrieval agent
An OpenAI GPT-based agent compared against a Bud domain-tuned deployment on the same task.
Each figure reflects a specific measured deployment. Your results depend on workload, hardware and configuration.
Three things public cloud cannot give you.
As enterprises and governments move from experimentation to production, the limits of public and shared infrastructure start to bind.
Data sovereignty by design
Sensitive data stays on-premises or private, meeting residency, compliance and governance requirements.
Full control across the lifecycle
Govern models, training, deployment, scaling and access on Dell infrastructure you operate.
Predictable cost and performance
Private AI gives predictable economics at scale, with efficient training and inference underneath.
The same platform, configured differently.
Enterprises
- Centralized access control, usage tracking, rate limits and policy-driven governance
- CPU-first and heterogeneous optimization for cost efficiency
- Pre-integrated agents, tools and 1000+ MCPs
- Start on existing CPUs, scale to GPUs or hybrid as volume grows
Cloud service providers
- An end-to-end foundry for the CSP and its customers, beyond bare metal
- More tokens per dollar across CPUs and GPUs, with idle capacity eliminated
- 1.9K prebuilt agents portable to SLMs or LLMs
- White-glove services: training at scale, guaranteed SLOs, hardware sizing, L2 support
Government & public sector
- GenAI deployed fully within national infrastructure
- Indic-optimized models for citizen-facing, inclusive use cases
- On-premises or fully air-gapped operation
- Pre-integrated tools and MCPs so departments can move quickly
Up for a live demo?
We can show how the stack runs on Dell infrastructure end to end - training through to consumption, secure and compliant.