A 12-person computational chemistry team running drug-candidate screening needed AI compute that never touched a public cloud. Haink supplied NVIDIA DGX Spark systems and RTX 6000 Ada workstations — from quote to powered-on lab in four weeks.
"Our IP counsel was clear: proprietary compound structures cannot leave our perimeter network — not even encrypted to a trusted cloud. We needed hardware, not a cloud contract."
— Head of Computational Chemistry, Pharmaceutical R&D Team
Drug candidate molecular structures are trade secrets. The team's IP counsel required all compute to remain within the lab's physical perimeter — cloud HSMs were not an acceptable alternative.
Molecular dynamics simulations run thousands of short jobs per day. Cloud round-trip latency added friction to the iterative loop. Local GPU eliminated the wait entirely.
Cloud GPU spend for this workload varied 3–5× month-to-month as job counts scaled with project phases. Fixed hardware cost was essential for budget forecasting.
Desktop-class DGX Spark form factor fits under a lab bench. No raised floor, no precision cooling — operates in standard office conditions up to 30°C.
Two NVIDIA product lines — one for personal scientist workstations, one for shared high-throughput compute nodes.
| GPU | GB10 Grace Blackwell Superchip |
| GPU memory | 128 GB unified (shared CPU+GPU) |
| CPU | 72-core NVIDIA Grace (Arm) |
| System RAM | 128 GB LPDDR5x |
| Storage | 4 TB NVMe SSD |
| Network | ConnectX-7 100GbE |
| Form factor | Desktop (1.7 kg, no rack required) |
| GPU | NVIDIA RTX 6000 Ada Generation |
| GPU memory | 48 GB GDDR6 ECC |
| CPU | Intel Xeon W-2400 (24-core) |
| System RAM | 256 GB DDR5 ECC |
| Storage | 2× 4 TB NVMe RAID-0 |
| Network | 10 GbE to DGX Spark pool |
| Display | 4× DP 1.4, molecular viz ready |
Drug candidate screening cycle reduced from ~4 weeks to under 2 days using on-premise DGX compute
Quote to powered-on lab environment, including customs and delivery to the research site
Compound data transferred to cloud infrastructure — full air-gap maintained throughout the project
Estimated payback vs equivalent cloud GPU reservation for the same workload profile
Related resources
Haink supplies NVIDIA DGX Spark, RTX Pro workstations, and lab-scale inference clusters — no cloud dependency, no data sovereignty compromise.