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For Enterprises, Governments, and CSPs.
Infrastructure by Dell. Intelligence by BUD.
Bud does for Enterprise AI what SAP did for enterprise software. Bringing together everything GenAI in one unified platform.
GenAI today is like enterprise software before SAP — fragmented tools, manual integration, and mounting technical debt. Deployments are like patchwork architectures sustained by workarounds, not engineering rigor.
Different AI hardwares, drivers, inference engines, AI gateways, guardrails, observability, virtualisation systems, and agentic systems — all manually integrated for every new agent. Leading to performance drops, TCO disasters, brittle systems, accuracy reduction, and technical debt.
Bud and Dell AI Foundry delivers an end-to-end GenAI stack that unifies infrastructure, models, tooling, and governance. Eliminating complexity and enabling scalable, secure AI success.
Dell Precision workstations and PowerEdge servers deliver the power to deploy and manage AI platforms — from machine learning and deep learning to generative AI and computer vision.
Powerful systems that simplify deployment and development of a variety of AI applications - including generative AI.
Workstations configured to meet your cognitive framework. Effective & flexible for enterprise AI.
Work with hardware and software defenses built for today's data-driven world with Dell Trusted Workspace.
Bud AI Foundry is the operating layer for enterprise GenAI. A unified platform to experiment, build, scale, and consume private and cloud AI models and agents. Dell's AI-optimized infrastructure, combined with Bud AI Foundry, delivers a unified, silicon-agnostic AI Foundry stack for private and hybrid AI. A single platform that provides everything from training and GPU virtualization to multimodal scalable inference, guardrails, agents, and observability — all in one place, with state-of-the-art performance.
Accelerate go-to-market with a fully integrated stack that eliminates custom engineering and integration delays.
Reduce total cost of ownership by 2.4X to 6X with optimized infrastructure and over 4X token efficiency.
Unlock 1.6X to 8X performance gains through deep stack optimization from hardware to inference.
Bud as a Dell-Validated Blueprint enables secure, one-click POC-to-production deployment.
Infra-aware AI with OpenManage Enterprise, mapping models to PowerEdge.
Bud on Dell AI Factory ensures Dell handles infrastructure, while Bud manages agents and AI governance.
Deploy agentic AI to thousands of sites with centralized control, local execution, and zero-trust security.
A Personal Assistant & Intern that continuously learns and augments your employees. Bud Universal Agent can create new personal agents, agentic workflows, and customized augmentation plans for every employee — it's like Clawd bot for enterprises. Built with multi-level guardrails, full observability, audit trails, and rate limits to ensure secure and scalable enterprise usage.
One unified stack for multimodal inferencing, scaling, middleware, observability, evaluations, guardrails, governance, tools, and data across both open and closed-source models. It enables Private AI PaaS, Inference-as-a-Service, Model-as-a-Service, and Agent-as-a-Service in any environment.
Model training platform for private enterprise AI. Supports training with low compute, memory, network, and bandwidth requirements without compromising accuracy. Supports over 120 model architectures and multiple training methodologies, post-training, agentic training, along with integrated data and observability pipelines.
A high-performance GPU virtualization system with NVIDIA MIG-level isolation and performance. FCSP enables 2X higher tenant density while maintaining less than 5% performance degradation targets, translating to potential infrastructure cost savings of $14M annually for a 1000-GPU deployment.
RunPod-like private GPUaaS, AIPaaS, AI Use Case as a Service, and GPU serverless platform for researchers and developers within the organization to research, develop, and pilot any GenAI use cases without requiring deep infrastructure expertise. It offers one-click use case deployment, job scheduling, pipelining, and serverless execution.
A fully integrated AI Studio for every enterprise user to consume models and agents, build their own agents, and share them with others. It includes a universal personal agent (Like ClawdBot for enterprise users) and is fully integrated as private desktop applications, Terminal, VS Code, and Web UI.
To unlock the full potential of Agentic AI, enterprises need seamless access to their tools, workflows, and data, which are often siloed. Bud MCP Foundry lets you convert existing software, APIs, and workflows into MCPs without coding or custom integration, providing a secure, federated solution that makes any enterprise GenAI-ready immediately.
A zero-trust security, governance, and compliance framework for fully secure GenAI and Agentic infrastructure. Provides custom guardrails for agents and models, model weight and infrastructure protection, active and passive monitoring, enterprise-grade RBAC, user management, observability, compliance tracking, and robust FinOps controls, rate limiting and usage management.
Bud AI Foundry abstract technical complexity, enabling teams to deliver AI outcomes without relying on scarce, expensive specialists.
Start GenAI on existing CPU infrastructure to validate use cases quickly, then scale seamlessly to GPUs only when needed.
Replace fragmented AI stacks that drive compliance risk, governance gaps, and cost leakage with a single, unified AI Foundry.
Bud is engineered for efficiency. Automated optimization, caching, and compression maximize every dollar spent.
Build and deploy GenAI faster using one platform that supports both private and cloud models through a unified interface.
Bud's proprietary inference-time learning enables continuous model adaptation without costly retraining.
Bud SENTRY delivers zero-trust AI security with built-in compliance, auditability, and governance for regulated environments.
An end-to-end platform designed not only for building AI, but also for securely consuming and operationalizing AI across the enterprise.
Bud delivers ~3X better performance on NVIDIA GPUs & ~1.5X perf on other hardware
Up to 43% lower error rates versus vLLM, TEI, and Infinity in production workloads.
12X faster cold starts for on-demand scaling and serverless AI deployments.
Sub-1ms latency makes Bud the fastest AI gateway for enterprise-grade inference.
Agents learn by doing, improving automatically without manual retraining cycles.
Continuously personalize models on CPUs without fine-tuning, enabling adaptive intelligence.
Bud SENTRY ensures full zero-trust security from model onboarding to inference.
Save up to 56% tokens with intelligent prompt and runtime optimization.
Run guardrails on commodity CPUs at 100X better perf (vs A100 GPUs) with the same accuracy.
GPU-optimized heterogeneous scaling with request-aware bin packing for efficient operations.
Multi-tiered heterogenous virtualisation technology with bin packing.
Create production-ready agents directly using natural language prompts without orchestration.
Bud Ecosystem pioneers innovative new Indic LLM with AMD. The team achieves faster training for India's first commercially usable open-source Indic LLM using 40% fewer GPUs on Azure with instances powered by AMD GPUs. Hex1 is a 4-billion parameter language model specifically optimized for Indian languages including Hindi, Tamil, Kannada, Telugu, and Malayalam.
The case study evaluates the performance of a personalized Stylist agent developed for Ralph Lauren, comparing an OpenAI-based implementation with one built using the Bud stack.
| TCO | Performance | Accuracy | |
|---|---|---|---|
| OpenAI | $220K per month | 20 Sec | 85.46% |
| With Bud | $40K per month | 6 Sec | 85.44% |
Impact: Same Accuracy, Better Performance, Better TCO & 6.5X faster GTM
The case study evaluates the performance of an information retrieval agent of Infosys, comparing an OpenAI GPT-4o-based implementation with one deployed using the Bud stack.
| Use Case | SLO | Cost Savings | Accuracy |
|---|---|---|---|
| RAG | Met | 87.6% cheaper | Factual 0.91 |
| NL-to-SQL | Met | 76% cheaper | 95% |
| NL-to-Insights | Met | 85% cheaper | Factual 0.95 |
| Translation | Met | 90.7% cheaper | Very high fidelity |
A Total Cost of Ownership (TCO) analysis comparing Azure AI Foundry with Bud + Dell AI Foundry for deploying enterprise AI applications. The results compare Azure AI Foundry (using GPT-4o API, Azure Speech Services, and Azure Neural TTS with experiments running on 3× L4 + 1× A10 PAYG) against a self-hosted GPT-OSS 20B deployment using Bud + Dell AI Foundry with self-hosted Whisper and XTTS (FCSP), running on 3× A100 + 2× A10 (3-year RI).
Bud + Dell AI Foundry delivers 51% lower total cost of ownership compared to Azure Foundry offerings. Its multi-cloud, multi-hardware, and multi-deployment architecture ensures seamless scaling without risks of hardware or model unavailability.
Built for enterprise choice, Bud AI Foundry enables immediate adoption with long-term flexibility and scale.
As enterprises and governments move from AI experimentation to production, the limitations of public and shared AI platforms are becoming clear. AI Foundry, powered by Dell and Bud, addresses these challenges by enabling organizations to build and operate GenAI systems within their own controlled environments, on infrastructure they own and govern. Together, Dell and Bud enable organizations to design, deploy, and operate sovereign GenAI systems with end-to-end control over: Data, Models, Infrastructure, Cost & Governance
Bud, Dell AI foundry keeps sensitive data on-prem or private, meeting strict residency, compliance, and governance needs for highly regulated industries.
With Dell infrastructure and Bud AI Foundry, enterprises govern models, training, deployment, scaling, access, and auditability to align AI with enterprise risk and operations.
Private AI delivers predictable costs at scale. Dell AI infrastructure and Bud AI Foundry ensure efficient training, inference, and orchestration without token-based billing surprises.
Bud for Enterprises is a unified AI Foundry that lets organizations deploy, govern, and scale GenAI across teams using their existing infrastructure, without sacrificing performance, security, or cost control.
Deploy GenAI across teams with centralized access control, usage tracking, rate limits, and policy-driven governance.
Achieve industry-leading cost efficiency through CPU-first and heterogeneous optimization.
Make your organization AI-ready instantly with pre-integrated agents, tools, and 1000+ MCPs.
Start with existing CPU infrastructure, deploy on-prem or cloud, and scale to GPUs or hybrid environments as value grows.
Bud for Cloud Service Providers is an end-to-end AI Foundry that allows CSPs to transform raw infrastructure into revenue-generating GenAI services—maximizing hardware utilization while delivering secure, scalable AI to customers.
An end-to-end AI foundry for the CSP and their customers with deployment, scaling, compliance, evaluations, management, agents and more.
Increase tokens per dollar by running GenAI efficiently across CPUs and GPUs, eliminating idle capacity and hardware lock-in.
Access to 1.9K BUD prebuilt agents and usecases that can easily be ported to work with SLMs or LLMs.
Model training & Inference at scale, Guaranteed SLOs, Agent development & Management, Hardware sizing help, L2/L3 Technology support.
Bud's secure, end-to-end AI Foundry that enables governments to deploy, govern, and scale GenAI within national boundaries, ensuring data sovereignty, compliance, and cost efficiency at scale.
Deploy GenAI fully within national infrastructure, ensuring complete control over data, models, and AI operations with no external dependencies.
Support Indian languages and regional use cases with Indic-optimized models, enabling inclusive, citizen-facing AI across departments.
Run GenAI in on-prem or fully air-gapped environments, meeting the strictest security, defense, and regulatory requirements.
Enable rapid adoption with pre-integrated agents, tools, and MCPs—allowing departments to build, govern, and deploy AI safely and quickly.
Reach out to schedule a live demo and discover how BUD delivers secure, compliant, and scalable AI — from training and inference to full agent orchestration within private and regulated environments.
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