Partners
Your Business. Customer Infrastructure. Zero Compromise.
DiscreteStack gives application builders and AI integrators a production-ready inference layer that deploys on any enterprise hardware. Offer your clients private, sovereign AI — without building infrastructure from scratch or compromising compliance.
Market Reality
Enterprises want AI on their terms. They need partners who can deliver it.
of EU enterprises cite data sovereignty as a top-3 requirement for AI adoption.
growth in on-premise AI inference demand over the past 12 months.
infrastructure R&D cost when you partner with DiscreteStack.
Partnership Tracks
Two ways to partner
Application Builders
Ship AI-Powered Products on Customer Infrastructure
You build the application — we provide the inference engine. Offer your clients an on-premise deployment option without maintaining GPU clusters, model serving, or inference optimization.
OpenAI- and Anthropic-Compatible API
Integrate once. Your application talks to DiscreteStack the same way it talks to any cloud API — but it runs inside your client's firewall.
Hardware-Optimized Performance
13× throughput gain from the same hardware. Your application gets 1,300 t/s decode speed and 90%+ cache hit rates — out of the box.
Compliance by Architecture
Data never leaves your client's premises. Full EU regulatory compliance, data sovereignty, and zero token metering.
Predictable Licensing for Your Clients
Flat annual license per execution node. No usage-based surprises — your clients budget once and run unlimited.
How it works: Build your app as you do today → Deploy DiscreteStack at client site → Your app runs on their hardware
AI Integrators
Deliver Enterprise AI Projects — Without the Infrastructure Headache
You design the solution, manage the rollout, and own the client relationship. DiscreteStack handles the inference layer so your team focuses on business value, not GPU tuning.
Day-0 Operational AI
Pre-configured inference runtime with built-in QoS, monitoring, and enterprise identity management. Production-ready from deployment day.
Frontier Models, Any Hardware
Serve open-weight models with frontier intelligence. Compatible with NVIDIA Ampere, Hopper, and Blackwell GPUs.
Enterprise-Grade Governance
Predictive admission queues, usage audit trails, RBAC, and data connectors to SAP, ServiceNow, and internal APIs.
Margin-Friendly Economics
Wrap DiscreteStack into your integration engagements. Fixed licensing gives you predictable project costs and healthy margins.
How it works: Design the AI solution → Deploy DiscreteStack at client side → Manage & expand the account
Client Value
What DiscreteStack bring to your clients
Private AI, Not Cloud AI
Every inference request stays within the client's network perimeter. No data movement, no third-party dependency, no residual risk. Sovereign AI isn't a marketing line — it's the architecture.
13× More from the Same GPUs
Hardware-native builds, KV cache optimization, predictive scheduling, and asymmetric node routing extract maximum throughput from every GPU. Your clients get enterprise-scale AI from mid-range hardware.
Flat-Rate, Token-Free Licensing
Yearly license per execution node. No per-token billing, no usage tiers, no surprise invoices. Your clients run unlimited inference — and you scope projects with cost certainty.
Open-Weight Intelligence
Open-weight models trail frontier by just 3 months. GLM, Kimi, DeepSeek, and Mistral deliver frontier intelligence — fully deployable on customer hardware.
Production-Ready from Day One
We manage the heavy-lifting of productivizing AI on-premise. Your tools, your workflows all of that works the same way, integrated through standard OpenAI- and Anthropic- compatible endpoints.
Your Brand, Your Relationship
DiscreteStack runs in the background. You own the client engagement, the delivery, and the ongoing commercial relationship. We power the inference — you power the business.
Architecture
One API. Any Model. Customer's Hardware.
Your application connects via a standard OpenAI- and Anthropic- compatible endpoint. Behind it, DiscreteStack handles model loading, quantization, KV cache management, tensor parallelism, batch scheduling, and QoS — tuned for the specific GPU hardware at the client site.
Use Cases
What partners are building
Software Engineering
AI-Powered Code Assistants
Ship an on-premise coding copilot that runs inside the client's VPN. No code leaves the building.
Financial Services / Healthcare
Regulated Document Processing
Insurance claims, medical records, legal contracts — processed by AI that never touches external servers.
Enterprise / Government
Private Knowledge Bases
RAG pipelines over internal documentation, with inference fully contained on customer hardware.
Public Sector
Sovereign AI for Public Sector
EU-compliant AI for government workflows — citizen data stays within national borders, always.
Proof
DiscreteStack in production
Tokens served
Sustained production workloads
Requests
Real engineering teams
Time per token
Under concurrent load
Processing capacity gain
Same hardware
Your clients want sovereign AI. Now you can deliver it.
Whether you build applications or design enterprise AI solutions — DiscreteStack gives you the inference layer that makes on-premise AI work.