AI Developers
Build & deploy faster
Rapid iterations for experiments and production: environments tuned for throughput, datasets, and model endpoints.
GPU stackeket tervezünk és hosztolunk éles AI-hoz: számítás, tárhely, hálózat és biztonság — a fő komponens NVIDIA DGX Spark mint kiemelt platform. Írd meg az igényeket, és összeállítjuk a megfelelő javaslatot.
Elsősorban vállalati megoldásokra fókuszálunk — de kisebb csapatok és egyéni építők is nyugodtan kérhetnek ajánlatot.
*DGX Spark specs referenced from NVIDIA DGX Spark listings.
Product-first UX and “contact sales” flows — inspired by hyperscale hosting/data-center patterns — rebuilt on your static codebase with glossy, glassy UI.
A compact, high-performance AI node for dev, inference, and managed fleets. We pair it with GPU fabrics, high-speed networking, and NVMe storage — then deploy via a
MIG/vGPU options, multi-tenant isolation, and predictable performance.
Low-latency private networking, peering-ready, and AI-friendly east-west traffic.
NVMe tiers + object storage patterns for datasets, checkpoints, and artifacts.
Managed Kubernetes + GPU operators and reproducible MLOps environments.
DDoS posture, WAF patterns, and hardened access for production AI endpoints.
GPU-ready cage options, power planning, and monitoring for your own racks.
Single nodes or managed fleets with standardized images, monitoring, and secure access.
On-demand accelerated compute for training, inference, VDI/CAD, and batch workloads.
Predictable performance with GPU-ready orchestration and day-2 operations support.
Traffic engineering for distributed GPU clusters and low-latency service mesh patterns.
NVMe tiers, object storage, snapshots, and backup flows for checkpoints and datasets.
Hardened edge delivery for AI APIs, secrets management, and resilience runbooks.
Transparent starting point — then we tailor the stack. Add-ons below are custom priced based on your workload and risk profile.
These options are not “fixed price” — we estimate based on traffic, threat model, throughput, and SLA.
Possible target audiences — from education and hands-on labs to LLM fine‑tuning and production‑grade serving. Built around Nvidia DGX Spark with the infrastructure pieces needed to run real workloads in the EU.
Fast iterations for experiments and production: environments tuned for throughput, datasets, and model endpoints.
Rapid iterations for experiments and production: environments tuned for throughput, datasets, and model endpoints.
Run cohort-based courses and workshops with shared GPU capacity, managed access, and predictable performance.
Hands-on learning for students and teams — from notebooks to inference demos — with safe guardrails and support.
Fine-tune, evaluate, and deploy with the right storage lanes, networking, and security for sensitive data.
Multi-service inference stacks with WAF, firewall, DDoS protection, and observability — sized to real traffic.
Customer logos (editable in admin).
Enterprise-first by default — but smaller teams and individual builders can request a proposal too.
Prefer email? hello@example.com