Bud AI Foundry
The sovereign control plane for the generative-AI lifecycle — one serving plane for inference, guardrails, observability, evaluations, identity, and FinOps, optimized together so AI runs as a profit center, not a cost center. Hybrid by default.
The all-in-one control panel for enterprise GenAI.
Bud AI Foundry unifies everything between a trained model and a governed, in-production request — so platform teams ship reliable GenAI without stitching forty point tools across seven layers.
Layer 04 of the Bud stack.
Everything above Foundry consumes inference from this layer; everything below gives it hardware reach. It is the serving waist of the stack.
Consumed by Studio, Agent, SENTRY, and MCP Foundry — every higher layer calls Foundry for governed inference.
Builds on Model Foundry's trained models and LayerZero's 600+ hardware SKUs to reach any accelerator you own.
Six capability groups, one serving plane.
All six capability groups, expanded to the specifics an evaluator needs — each with its proof metric.
Architecture & components.
A control plane, a data plane, and the substrates that bind them — wired so governance, cost, safety, and observability ride every request automatically.
The golden path — nine steps, automated
Six cooperating planes
Registry, sizing engine, cluster engine — the brain that onboards, governs, and places every model.
Runtime, Serve, Scaler, and the sub-millisecond Gateway — the standards-compatible path every request travels.
Semantic Router directs traffic across SLMs, LLMs, and hardware tiers by cost and SLO.
Sentinel & Sentry enforce guardrails and policy as a single, unbypassable checkpoint.
Agent Runtime with a Secure Sandbox, Document Engine, and Assistant for tool-using workloads.
Eval, Pipelines, Metrics, and Notify — continuous evaluation, observability, and alerting.
The six planes are bound by coordination substrates that carry identity, policy, cost, and telemetry context end-to-end — so no request escapes governance.
Component inventory
| Component | Plane | Role |
|---|---|---|
| Control Plane | control | Orchestrates onboarding, governance, sizing, and placement decisions. |
| Model Registry | control | Source of truth for models with computed governance and lineage. |
| Sizing Engine | control | BudSimulator — picks cost-optimal hardware and serving settings. |
| Cluster Engine | control | Multi-cloud deployment across 12+ clouds, DC, and edge. |
| Runtime | data | Universal inference engine with auto parallelism and quantization. |
| Serve | data | Request serving with SLO-aware batching and execution. |
| Scaler | data | Heterogeneous, SLO-aware autoscaling with scale-to-zero. |
| Gateway | data | Sub-ms, standards-compatible data plane and single policy point. |
| Semantic Router | routing | Cost- and SLO-aware routing across models and hardware. |
| Agent Runtime | agent | Tool-using execution with Secure Sandbox and Document Engine. |
| Sentinel & Sentry | safety | Guardrail scanning and unbypassable policy enforcement. |
| Eval · Metrics · Notify | insight | Continuous evaluation, unified telemetry, and alerting. |
Any model, any cloud, any hardware.
Four deployment modes from a single control plane — with OpenAI-like APIs and SDKs that make switching cost near zero.
| Capability | On-prem | Hybrid · default | Cloud | Sovereign |
|---|---|---|---|---|
| Inference runtime | ✓ | ✓ | ✓ | ✓ Air-gapped |
| Hybrid SLM / LLM routing | ✓ | ✓ Default | ✓ | In-perimeter only |
| Serverless / scale-to-zero | ✓ | ✓ | ✓ | ✓ |
| Serving-time guardrails | ✓ | ✓ | ✓ | ✓ |
| Cost-aware routing & FinOps | ✓ | ✓ | ✓ | Local budgets |
| Unified observability | ✓ | ✓ | ✓ | ✓ Self-hosted |
| External model APIs | Optional | ✓ | ✓ | — Disabled |
Supported models
Any open or proprietary model — LLMs, SLMs, multimodal, and embeddings.
Supported hardware
600+ SKUs across vendors via Bud LayerZero — heterogeneous clusters, one runtime.
APIs & migration
OpenAI-compatible REST APIs and SDKs. Point existing clients at Foundry by swapping a base URL — no rewrite, near-zero switching cost.
Every headline number, with its basis.
Each performance and economic claim is paired with how it was measured — not asserted in isolation.
| Claim | Metric | Comparison baseline | Conditions |
|---|---|---|---|
| ~3× performance | tokens/sec | Naïve serving, same GPU | batch & precision held constant |
| 12× cold start | time-to-first-token | Standard container start | scale-from-zero, same model |
| <1ms gateway | added p99 latency | Inference time isolated | 10K+ QPS |
| 6× TCO | $ / 1M tokens | GPU-only single tier | hybrid, equal SLA |
Against the obvious alternatives.
Foundry replaces a category each evaluator has already considered — by doing the whole lifecycle instead of one slice of it.
| Alternative category | What it gives you | What Foundry adds |
|---|---|---|
| Cloud AI platforms | Managed inference, one vendor | Sovereign, hardware-agnostic, no lock-in |
| Inference point tools | Fast serving for one model | The full golden path, automated end-to-end |
| Gateways & proxies | Routing and rate limiting | An unbypassable policy plane, not just a proxy |
| Standalone routers | Model selection logic | Cost- and SLO-aware routing tied to FinOps |
| Observability add-ons | Dashboards after the fact | Computed governance wired into every request |
Built for the evaluator and the buyer.
Foundry serves the people who have to put GenAI into production — and answer for what it costs and whether it's safe.
Consolidate the stack
Replace forty stitched-together tools with one serving plane — fewer boundaries, less latency, one governance model.
Run any hardware you own
Heterogeneous clusters across GPU, CPU, HPU, and NPU — sized for SLO and cost, scaled to zero between bursts.
Make AI a profit center
Predictable cost per token, audited governance, and TCO you can defend to finance — not an open-ended cloud bill.
Keep data in your perimeter
Air-gapped, in-perimeter deployment with zero external dependencies — for CSP, OEM, and regulated buyers.
Budget per team & agent
Rate limits, budgets, and cost-aware routing make spend visible and bounded before it surprises you.
Govern every request
300+ guardrail probes and complete audit logs, enforced at the single policy point — no request escapes.
The authoritative narrative, in full.
This brief is the reference. For the argument, figures, and print-grade detail, read the whitepaper — or see the pipeline run on your own workload.
Whitepaper · 6 chapters
The Sovereign Control Plane
The authoritative narrative argument
A model registry with computed governance, a hardware-sizing optimizer, a multi-cloud deployment engine, and a runtime that wires governance, cost, safety, and observability into every request.
Read the whitepaperBack to overview
Bud AI Foundry
The all-in-one control panel for enterprise GenAI
Return to the high-level product page — the headline numbers, the overview film, and where Foundry sits in the stack.
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