--- title: "DiscreteStack — Private AI Infrastructure for Enterprise" description: "Deploy, govern, and scale AI on-premise — with predictable licensing, no token metering, and your data never leaving the perimeter." lang: en json-ld: | [ { "@context": "https://schema.org", "@type": "Organization", "name": "DiscreteStack", "url": "https://discretestack.com", "logo": "https://discretestack.com/assets/logo-dark-BLLFzRyu.svg", "description": "Private AI infrastructure for enterprise — flat-rate license, single-server deployment, built in Europe.", "foundingDate": "2025", "founder": { "@type": "Person", "name": "Hristo Todorov" }, "address": { "@type": "PostalAddress", "addressLocality": "Sofia", "addressCountry": "BG" }, "iso6523Code": "BG", "hasCredential": [ { "@type": "EducationalOccupationalCredential", "name": "ISO 27001 — Information Security Management" }, { "@type": "EducationalOccupationalCredential", "name": "ISO 9001 — Quality Management" }, { "@type": "EducationalOccupationalCredential", "name": "ISO 42001 — AI Management Systems" } ] }, { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What's included in a node?", "acceptedAnswer": { "@type": "Answer", "text": "Everything your team needs to run AI in production — hardware-native model builds, the intelligent runtime that handles routing, caching, and scaling, plus monitoring, access controls, and integrations. One node, one price, nothing extra." } }, { "@type": "Question", "name": "Why open-weight models instead of proprietary ones?", "acceptedAnswer": { "@type": "Answer", "text": "Open-weight models trail proprietary ones by roughly three months on average — and for some use cases they even exceed them. For the vast majority of enterprises, that gap is irrelevant. What you gain is full auditability, no API dependency, no vendor roadmap risk, and the ability to run on your own infrastructure with no data leaving your perimeter. Proprietary models require internet connectivity and route your data through third-party servers. Open-weight models don't. That's why every model on DiscreteStack is open-weight." } }, { "@type": "Question", "name": "What does \"built in Europe\" mean for my deployment?", "acceptedAnswer": { "@type": "Answer", "text": "DiscreteStack is incorporated and operated in the EU. That means no exposure to the US CLOUD Act — jurisdiction follows the company, not the data centre. Your deployment runs on infrastructure you control, in a jurisdiction you choose. There is no US-headquartered parent company that can be compelled to hand over data. For enterprises subject to GDPR or the EU AI Act, this is a structural guarantee, not a contractual promise." } }, { "@type": "Question", "name": "Can DiscreteStack run air-gapped with no internet connection?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. DiscreteStack runs fully air-gapped — no internet connectivity required during operation. Models, inference runtime, scheduling, and the enterprise layer all run locally on your hardware. Updates are delivered through secure offline packages. No telemetry, no external API calls, no cloud dependencies. This is the deployment model used by organisations in defence, financial services, and critical infrastructure where data cannot leave the physical perimeter under any circumstances." } }, { "@type": "Question", "name": "What hardware do I need?", "acceptedAnswer": { "@type": "Answer", "text": "We support the full range of enterprise NVIDIA GPU architectures: Ampere (A100), Hopper (H100/200), Blackwell (B100, B200, B300, RTX 5000/6000 Pro). We'll design the right configuration based on your team size, model requirements, and workload profile." } }, { "@type": "Question", "name": "Can you provide the hardware as well?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. We can deliver a fully configured node — hardware and software — ready to deploy in your server room or data center. We also offer a hardware lease option, so you can get started without upfront capital expenditure." } }, { "@type": "Question", "name": "Can I start with one node and scale later?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. You can expand capacity horizontally (adding more machines) or vertically (replacing with more capable ones). Our GPUe model covers both." } }, { "@type": "Question", "name": "How does flat-rate licensing work compared to per-token pricing?", "acceptedAnswer": { "@type": "Answer", "text": "With DiscreteStack, you pay a flat-rate license per execution node per year. No token metering, no usage-based billing, no surprise invoices. Your costs are fixed regardless of how much your teams use AI. Per-token pricing works differently — every prompt, every response, every agent action is a billing event. As adoption grows, so does the bill. With a flat-rate license, growing adoption means lower cost per task, not a higher invoice." } }, { "@type": "Question", "name": "How does this compare to what we're spending on OpenAI/Anthropic today?", "acceptedAnswer": { "@type": "Answer", "text": "For a team of 50 power users, hyperscaler API costs typically run €150K–€250K per year depending on usage. One DiscreteStack node covers that same team for €50K per year, plus approximately €30K for a hardware lease. Run your own numbers in our cost comparison calculator." } }, { "@type": "Question", "name": "What models do you run?", "acceptedAnswer": { "@type": "Answer", "text": "We run the most powerful open models available — hundreds of billions to trillions of parameters. Models like Kimi, GLM, and Mistral among others in their most capable forms. Each one is compiled specifically for designated hardware, so you get maximum performance without managing model ops yourself." } }, { "@type": "Question", "name": "Who handles updates and maintenance?", "acceptedAnswer": { "@type": "Answer", "text": "We do. New models and updates on existing ones are evaluated and delivered quarterly. Runtime patches and security fixes are included in the license. Your team focuses on using AI, not operating it." } }, { "@type": "Question", "name": "How fast can we actually be live?", "acceptedAnswer": { "@type": "Answer", "text": "24 hours for full platform access (in shared environment). On-premise with existing hardware, typically within a week. If we're sourcing the hardware, expect 4–8 weeks depending on configuration and availability." } }, { "@type": "Question", "name": "Do you support our compliance requirements (SOC 2, GDPR, etc.)?", "acceptedAnswer": { "@type": "Answer", "text": "The platform runs entirely on your infrastructure — your data never leaves your environment. That simplifies most compliance requirements by design." } } ] }, { "@context": "https://schema.org", "@type": "Organization", "name": "DiscreteStack", "hasCredential": [ { "@type": "EducationalOccupationalCredential", "name": "ISO 27001", "description": "Information security", "credentialCategory": "certification", "recognizedBy": { "@type": "Organization", "name": "International Organization for Standardization", "url": "https://www.iso.org/" }, "url": "https://www.iso.org/standard/27001" }, { "@type": "EducationalOccupationalCredential", "name": "ISO 9001", "description": "Quality management", "credentialCategory": "certification", "recognizedBy": { "@type": "Organization", "name": "International Organization for Standardization", "url": "https://www.iso.org/" }, "url": "https://www.iso.org/standard/iso-9001-quality-management.html" }, { "@type": "EducationalOccupationalCredential", "name": "ISO 42001", "description": "AI management systems", "credentialCategory": "certification", "recognizedBy": { "@type": "Organization", "name": "International Organization for Standardization", "url": "https://www.iso.org/" }, "url": "https://www.iso.org/standard/81230.html" } ] } ] --- [![DiscreteStack](/assets/logo-dark-BLLFzRyu.svg)](/) ProductUse CasesCompliancePricing[Partners](/partners)[Try it](/try) [Try it](/try) BUILT IN EUROPE # Private AI infrastructure for your business One server. Open models. Flat rate. No token meter. Your data never leaves your building. [Try it — live in 24h](/try) See what's inside 1 Server Frontier AI Day-0 Production ready €0 Per token, forever 100% On your premises What DiscreteStack Does ## We productize open-weight AI for the enterprise. We turn the best available open-weight models into complete, optimized self-hosted AI stacks that run on infrastructure you control. ### A complete self-hosted AI stack. Every DiscreteStack build is a complete self-hosted AI stack for its hardware class, combining a selected open-weight model, optimized inference runtime, OpenAI- and Anthropic-compatible APIs, admission queue for multi-user serving and enterprise controls. It runs on-premises, air-gapped or on private infrastructure you control — without sending inference to a third-party AI provider. ### Frontier AI on a single server. DiscreteStack uses hardware-native compilation and patent-pending inference technology to run frontier-class open-weight AI on a single server. Each build is optimized for the specific GPU architecture underneath it, maximizing memory efficiency, throughput and serving capacity. This makes production-scale AI practical without the complexity and infrastructure footprint of a multi-node AI cluster. ### Model evaluation and upgrades. We continuously evaluate new open-weight model releases, rerunning public benchmarks to verify published results and running our own evaluations. A single benchmark run can involve hundreds of real-world tasks and cost thousands of dollars in inference. We absorb that model scouting, benchmarking and validation work, upgrading each tier only when a new model proves better for its hardware class. Feature Claude Opus 5 via API DiscreteStack Max DiscreteStack Compact Intelligence Latest frontier — Opus 5 Opus 4.8-class Sonnet 4.6-class Cost per task 1.0× ~0.33× ~0.11× Billing Per-token API pricing Unlimited tokens. No per-token billing Unlimited tokens. No per-token billing Deployment Anthropic-hosted cloud API Self-hosted on infrastructure you control Self-hosted on infrastructure you control Data control Processed by external provider Private / on-premise Private / on-premise Aggregate speed — 950 t/s 750 t/s Per-stream decode 40 - 60 tps 65 tps 25 tps Model Opus 5 Kimi K2.7 Ornith 1.0 Hardware Provider infrastructure GB200 NVL4 ![DiscreteStack Max server hardware](/__l5e/assets-v1/67f4d25c-f67c-4e8b-a8d9-e8b9e0467905/gb200nvl4.png) 4× RTX PRO 6000 ![DiscreteStack Compact server hardware](/__l5e/assets-v1/0307719a-8f78-4501-8316-d2e2ce0dde68/rtx6000.png) Three Commitments ## What European AI means in practice ### Transparency Open weights you can audit. Open inference stacks you can inspect. No black box between you and the technology you build your business on. Every model versioned, every component replaceable — if you can't see how it works, you can't trust it in production. ### Control Infrastructure you control — owned or leased, in jurisdictions you choose. Air-gapped when your business demands it. Rented hardware in a private cloud when it doesn't. No vendor lock-in, no dependency on a provider whose economics require your data on their platform. ### Predictability Flat-rate license per server per year. No token metering. No usage-based billing. A cost line your CFO can sign for three years without a variance clause. Your AI bill doesn't grow when your teams actually start using it. Day-0 Use Cases ## AI for every team — ready on day 0 Works with the tools your team already loves Claude Code Open Code Codex Goose LibreChat Open WebUI LangChain OpenClaw Claude Code Open Code Codex Goose LibreChat Open WebUI LangChain OpenClaw ### AI for Software Engineering - AI Pair Programming Write, test, debug alongside your team - Autonomous Tasks Delegate entire tickets end-to-end - 30× Code Output 150 lines/day becomes 5,000 ### AI for Finance & Operations - Natural Language Queries Ask any question about your data - Automated Reports Weekly, monthly, and ad-hoc - Rapid Data Entry Days of work in minutes ### AI for Project Management - Inbox Triage Prioritize, summarize, draft replies - Task & Calendar Management Across Jira, Asana, email, calendar - Hours of Repetitive Work Handled before your day starts Performance ## Single-server AI Most AI infrastructure assumes cluster-scale — dozens of GPUs, distributed across racks, requiring colocation partners you don't control. DiscreteStack fits state-of-the-art AI intelligence on a single server — through hardware-native compilation, predictive admission control, and [model-hardware co-optimization](/blog/on-premise-llm-inference-hardware) that go far beyond standard prefix caching, decode scheduling, and request batching. The result: 13× more throughput from the same silicon. Once AI runs on one machine, you choose where that machine lives — in your building, air-gapped, or on rented hardware in a private cloud. That's the engineering breakthrough that makes everything else on this page possible — the flat rate, the control, the day-one readiness. Cache hit rate 90%+ Cache hit rate: 90%+ with DiscreteStack vs 20% baseline with vanilla inference. Decode speed 4.3× Decode speed: 4.3× with DiscreteStack vs 23% baseline with vanilla inference. Request concurrency 3.2× Request concurrency: 3.2× with DiscreteStack vs 31% baseline with vanilla inference. DiscreteStack Vanilla Inference Off-Hours Dividend ## Your GPUs don't stop when your developers go home. With DiscreteStack, off-hours compute (nights, weekends, holidays) is zero marginal cost. Your hardware is already paid for. On a hyperscaler, every token costs the same 24/7, no matter when you run it. Own the server, and every idle GPU hour becomes productive capacity at no extra cost. 00:00 08:00 18:00 24:00 Business hours Off-hours (zero marginal cost) RAG indexing Batch inference Report generation Overnight agents How It Works ## From Model to Metal ### Hardware-Native Builds Every deployment is compiled and optimized for your specific GPU topology. ### Model-Hardware Co-Optimization ### Pre-Compiled Inference Pipelines ### Tensor Layout & Memory Architecture ### Intelligent Execution Runtime A scheduling engine that maximizes GPU utilization across concurrent workloads. ### Predictive Admission Queue ### Asymmetric Node Routing ### Hybrid GPU-CPU Inference Enterprise Layer: Identity management · Data connectors · Usage intelligence Compliance & Data Sovereignty ## Air-gapped. Auditable. Yours. ### Data Sovereignty No data leaves your perimeter. Air-gapped deployment available. No exposure to the US CLOUD Act — jurisdiction follows the company, not the data centre. ### Governance & Audit Identity management, per-user audit trails, usage intelligence. Full visibility into who uses what, when, and how. ### EU AI Act Ready Full enforcement begins August 2026. When AI runs on infrastructure you control, you own the [compliance posture — not your vendor](https://discretestack.com/blog/eu-ai-act-compliance-for-local-ai-infrastructure-2026). Certified & Audited - ISO 27001 Information security - ISO 9001 Quality management - ISO 42001 AI management systems Competitive Landscape ## DiscreteStack vs Cloud AI — Why Infrastructure Ownership Wins Feature DiscreteStack OpenAI / Anthropic DIY Hyperscalers (Azure/AWS) Model Intelligence [Frontier − 3 months](https://discretestack.com/blog/open-models-intelligence-fuel-sovereign-ai) Baseline Mixed Baseline Cross-system Integration Vendor specific Partially Vendor specific Predictability Yearly Contract Vendor Roadmap Self-managed Vendor Roadmap Operational Complexity Low Mid High Mid [US CLOUD Act](https://www.congress.gov/bill/115th-congress/house-bill/4943) exposure None (EU-incorporated) Subject None Subject [EU AI Act](https://eur-lex.europa.eu/eli/reg/2024/1689/oj) readiness [Full (August 2026 ready)](https://discretestack.com/blog/eu-ai-act-compliance-for-local-ai-infrastructure-2026) Partial Self-managed Partial Cost model Flat-rate license Per-token CapEx + engineering team Per-token Pricing ## Simple. Predictable. No surprises. €0 per token No token limits.  No usage metering.  Unlimited workflows. While others move to usage-based billing, your costs stay fixed. Flat rate license per execution node / year [ Already using AI? Compare costs ](/compare)[ Try it — live in 24h ](/try) Frequently Asked ### What's included in a node? ### Why open-weight models instead of proprietary ones? ### What does "built in Europe" mean for my deployment? ### Can DiscreteStack run air-gapped with no internet connection? ### What hardware do I need? ### Can you provide the hardware as well? ### Can I start with one node and scale later? ### How does flat-rate licensing work compared to per-token pricing? ### How does this compare to what we're spending on OpenAI/Anthropic today? ### What models do you run? ### Who handles updates and maintenance? ### How fast can we actually be live? ### Do you support our compliance requirements (SOC 2, GDPR, etc.)? From our blog ## Insights & updates [ ![](/__l5e/assets-v1/1d3337fb-fe98-447f-bee1-1477e02c64e2/blog-card-raises.jpg) Business ### DiscreteStack Raises €800,000 to Give European Businesses Their Own AI Infrastructure August 17, 2026 DiscreteStack has closed a €800,000 seed funding round. The capital will support our expansion into new regulated sectors – finance, insurance, and the public sector – and increase our access to GPU computing capacity. ](/blog/discretestack-raises-e800000-to-give-european-businesses-their-own-ai-infrastructure)[ ![](/__l5e/assets-v1/7cc32a4c-395a-4a94-823f-1bd20540964f/blog-card-eu-ai-act.png) Business Technology ### EU AI Act Compliance for Local AI Infrastructure (2026) July 19, 2026 The grace periods have closed. In 2026 the EU AI Act is no longer a distant compliance target; enforcement is here, and regulators are actively auditing enterprises across the European market. ](/blog/eu-ai-act-compliance-for-local-ai-infrastructure-2026)[ Blog Read more Browse all posts on the DiscreteStack blog. ](/blog) ![DiscreteStack](/assets/logo-dark-BLLFzRyu.svg) Proudly built in the EU 🇪🇺 ### Company - [About](/about) - [Careers](https://dev.bg/company/discretestack/) - [LinkedIn](https://www.linkedin.com/company/discretestack/) ### Legal - [Privacy Policy](/privacy-policy) - [Terms of Service](/terms-of-service) © 2026 DiscreteStack AD · Sofia, Bulgaria contact@discretestack.com