Lab & AI
The lab behind Rocking JA
Five hypervisor hosts on two platforms, 112 GB of GPU memory across three NVIDIA cards (including a 96 GB private AI server), and about 110 workloads, all built, monitored and backed up by me.
- 5hypervisor hosts
- ~264CPU threads
- ~1.4 TBRAM
- 112 GBGPU VRAM (lab total)
- ~42 TiBusable storage
- ~110workloads
Compute
Proxmox VE 9.2 (2 nodes) · VMware vSphere 8.0 U3 (vCenter, 3 ESXi hosts across 3 datacenters)
2× Xeon Platinum 8276
- Cores
- 56C / 112T
- Memory
- 512 GB
AMD EPYC 7452
- Cores
- 32C / 64T
- Memory
- 512 GB
- GPU
- NVIDIA RTX A4000 (16 GB)
AMD Ryzen 9 9950X
- Cores
- 16C / 32T
- Memory
- 192 GB DDR5
- GPU
- 2× Quadro RTX 8000 (2× 48 GB)
AMD Ryzen 9 5950X
- Cores
- 16C / 32T
- Memory
- 128 GB DDR4
2× Xeon E5-2630 v2
- Cores
- 12C / 24T
- Memory
- 96 GB
About 110 running
- vSphere VMs
- 60
- Proxmox VMs
- 10
- LXC containers
- 5
- Docker / Podman
- 35
GPUs
112 GB of VRAM across three NVIDIA cards in two servers
2× NVIDIA Quadro RTX 8000
- VRAM
- 2× 48 GB = 96 GB
- Role
- Supreme Intelligence AI server
NVIDIA RTX A4000
- VRAM
- 16 GB
- Host
- EPYC 7452, 512 GB
112 GB GPU memory
- Quadro RTX 8000
- 96 GB
- RTX A4000
- 16 GB
Private AI server
Supreme Intelligence
A self-hosted AI server with 96 GB of its own GPU memory: two Quadro RTX 8000 cards (48 GB each) passed through to a Fedora 43 VM. (The RTX A4000 is separate, bringing the lab total to 112 GB.)
llama.cpp across two GPUs
Models are split across both cards, which talk over PCIe, with a 262K-token context window. The default model is Qwen3.8-27B (8-bit, reads images), with Qwen3.8-27B-Uncensored or Gemma-4-31B ready to swap in.
FLUX.2-dev, locally
Images are generated on the same GPUs, so prompts and results never leave the lab.
Private ChatGPT-style chat
Open WebUI with web search and image input, plus tools for email, weather, radar and Windy maps, stock quotes and returning documents. Ask Grok and Ask Claude hand-offs reach cloud models when needed.
Agents and hardware care
A scheduled daily morning-brief agent, custom GPU fan control and a live hardware status page.
Storage
- Synology DS1823xs+ with 8 drives (4× 12 TB and 4× 4 TB) in two RAID 5 pools, about 42 TiB usable
- NFS to the VMware hosts, plus SMB shares
- Proxmox Backup Server for VM backups
- NVMe storage, including a mirrored pair of Samsung 990 PRO drives
Network
- Netgate 6100 firewall running pfSense Plus
- Tailscale and OpenVPN for remote access
- 10 GbE uplinks (Intel X520, Mellanox ConnectX-4 Lx)
- Separate segments for the lab, the DMZ and storage
- Public apps behind Cloudflare Tunnel with Zero Trust login
Self-hosted services
Rent a VM on this hardware
Tell me the vCPU, memory, storage, GPU and OS you need and I’ll follow up with availability and a quote.
