Vostner Standard
Overview
Private AI Built Around Your Team
Vostner Standard brings dedicated private AI to teams running assistants, RAG, coding tools, agents, and internal workloads. GPU capacity, memory, storage, and networking are configured around your models and users, with Vostner Console bringing deployment and day-to-day management into one place.
Built for Both
AI Workloads
- Local inference
- RAG
- Agents
- Coding models
- Embeddings
- Model serving
Server Workloads
- Databases
- VMs
- Containers
- File storage
- Internal apps
- CI/CD
transparent webm pedestal spinning showcasing standard.
Platform Capacity*
- GPU
- 1–4 GPUs
- Memory
- Up to 2 TB ECC DDR5
- Storage
- 8 hot-swap bays + NVMe
- Networking
- Dual 25 GbE
- PCIe
- Full-length PCIe 5.0 slots
- Platform
- Workstation / server-class platform
* Target configuration depends on final platform, chassis, power, and thermal validation.
Built for NVIDIA-Accelerated AI
Support for vLLM, SGLang, TensorRT-LLM, and modern local inference runtimes.
- Up to 4 GPUs
- Professional NVIDIA accelerator support
- Up to 384 GB
- Aggregate accelerator memory
- CUDA-native
- Compatible with leading AI runtimes
* Target configuration depends on final chassis, power, and thermal validation.
Compare the platforms
| Capability | Vostner Standard* | Dell Precision 7875 | Lenovo ThinkStation P8 |
|---|---|---|---|
| Max GPU memory | 384 GB | 96 GB per Blackwell GPU; system max unconfirmed | 288 GB aggregate |
| Max ECC RAM | 2 TB | 2 TB | 1 TB |
| Hot-swap bays | 8 | Configuration-dependent | Configuration-dependent |
| RAID | 0/1/5/6/10 | Controller-dependent | SATA 0/1/5; NVMe 0/1/5/10 |
| Redundant hot-swap PSU | Yes | No | No |
| Networking | 2×25 GbE | 10 GbE + 1 GbE | 10 GbE + 1 GbE |
| AI management | Vostner Console + Node | Separate software required | Separate software required |
* Based on comparably configured systems. Pricing and specifications vary by configuration. Vostner Standard figures represent target capabilities, subject to hardware validation.
Built Around Your Workload
- Model requirements
- User count
- Storage
- Networking
- Server workloads
The preset is a starting configuration. We size GPU capacity, memory, storage, and networking around the models, people, and services your team needs to run.
Configure StandardVostner Console Integration
One control plane for your models, users, and infrastructure.
Model management
Manage the models deployed on your system and their serving configuration.
System health
Keep hardware health and service status in view.
User access
Manage who can access your organization’s models and services.
Capacity
Review GPU memory, system resources, and available headroom.
Workload routing
Direct model requests to the appropriate serving resources.
Updates
Manage software and model updates across your deployment.
Usage history
Review usage over time to inform capacity and deployment decisions.
Ready to Talk?
Tell us what you want to run. We’ll configure Standard around it.
Contact Us