Kavanagh Industries — Concept Product

Two Minds.
One Machine.

The first sovereign AI workstation with a dedicated ARM AI processor and a full-power x86 Windows engine — running simultaneously in a compact Micro-ATX chassis.

157 TOPS — Jetson AI Core
50 TOPS — x86 NPU
207 Combined TOPS
64GB x86 Unified Memory
Architecture

Dual-Brain Architecture

Two independent processors. Two operating systems. One chassis. Each does what it does best — simultaneously.

AI Core · Always On
🧠
Jetson Orin NX
NVIDIA Jetson Orin NX 16GB · 260-pin SO-DIMM
  • AI Performance157 TOPS
  • On-Module Memory16GB LPDDR5
  • GPU ArchitectureNVIDIA Ampere
  • CPU Cores8× Cortex-A78AE
  • Operating SystemJetPack Linux
  • Primary RoleSovereign AI · Data Vault · Inference
Runs JetPack Linux · CUDA · TensorRT · RigidStack
207
Combined
TOPS
PCIe x16
Link
Windows Engine · Compute Monster
Ryzen AI Max+ 395
AMD Ryzen AI Max+ 395 · PCIe x16 Module Card
  • NPU Performance50 TOPS
  • Unified Memory64GB LPDDR5x
  • Memory Bandwidth256 GB/s
  • CPU Cores16× Zen 5 · 5.1GHz boost
  • Integrated GPURadeon 8060S · 40 CU
  • Operating SystemWindows 11 · Copilot+ Ready
Runs Windows 11 · 70B LLMs · Stable Diffusion · Full x86 Stack
How they communicate
Both processors communicate over a dedicated PCIe x16 physical link via shared memory (IVSHMEM) — running at x4 Gen3, x8 Gen4, or x8 Gen5 depending on the Jetson tier. The Jetson AI stack handles inferences requested by Windows applications — completely locally, zero cloud, zero latency penalty.
What It Does

Built for Work That Matters

Without a dedicated GPU, this machine already outperforms most workstations built for the same tasks.

🤖
Local AI — No Cloud
Run Llama 3.3 70B, DeepSeek, Mistral, and custom fine-tuned models at real conversational speed. The 64GB unified memory pool accommodates models other machines can't even load. Zero data leaves the machine.
157 TOPS Jetson + 64GB x86 pool — No subscription needed
🎬
4K Video Production
The Radeon 8060S GPU at 40 compute units handles H.265, AV1, and Stable Video Diffusion natively. Real-time 4K60 playback and export. AI upscaling, background removal, and denoising run on the Jetson — freeing the Windows engine for editing.
AV1 hardware encode/decode · AI-assisted editing · RDNA 3.5 GPU
🎨
AI Image Generation
Stable Diffusion 3.5 Large, FLUX, and custom LoRAs run locally on the Ryzen's 40-CU GPU with 64GB of unified memory. Image quality that cloud services charge per-generation for — this machine makes them unlimited and private.
SDXL, SD3.5 Large, FLUX — all local, all fast
⚙️
Engineering & CAD
Windows 11 on the Ryzen core runs SolidWorks, NX, CATIA, and Ansys FEA without compromise. 16 Zen 5 cores at 5.1GHz and 64GB of memory handle assemblies that choke conventional workstations. The Jetson runs AI-assisted design tools in parallel.
SolidWorks · NX · CATIA · Ansys · Siemens — all native x86
🧪
AI Development Workstation
Train and fine-tune models on the Jetson with CUDA. Test Windows AI integration on the x86 side simultaneously. Two developer environments — ARM JetPack and Windows x86 — running at the same time in the same box. No VM overhead. Real hardware.
CUDA · TensorRT · Python · Docker — on two real processors
🔒
Sovereign Data Operations
The Jetson runs the KI sovereign stack — RigidVault asset management, encrypted local backup, RAID storage, and network management. Everything on the Windows side is local-first. No Microsoft cloud. No Google. Your data stays in your building.
Air-gapped capable · Local encryption · RigidVault integration
Gaming

Yes. It Plays Games Too.

The Radeon 8060S delivers discrete-GPU performance out of the box. Add a dedicated card to the open PCIe slot and it becomes a full gaming rig.

No Dedicated GPU

Integrated GPU Only

The Radeon 8060S with 40 compute units and 256 GB/s memory bandwidth competes with RTX 4070 laptop class at 1080p and 1440p.

1080p Ultra Settings
Excellent
1440p High Settings
Good
4K Ultra Settings
Limited

RDNA 3.5 · 40 CU · ~RTX 4070 laptop class

PCIe bandwidth — all three tiers use the same x16 physical slot
Standard: x4 Gen3 electrical · ~16 GB/s · fine at 1080p/1440p, ~10% at 4K ultra.  |  Pro: x8 Gen4 · ~64 GB/s · zero GPU bottleneck at any resolution.  |  Ultra: x8 Gen5 · ~128 GB/s · absolute maximum, double Gen4 per lane.
Expandability

One Board Design.
Three Performance Tiers.

Every PCIe slot on every board variant uses the same x16 physical connector. PCIe is backward compatible by design — the slot auto-negotiates to the available lane count at link training. Same connector footprint. Same x86 companion card. Same GPU. Different electrical bandwidth depending on which Jetson module is installed.

Standard runs x4 Gen3 in that x16 slot. Pro runs x8 Gen4 — 4× the bandwidth, zero GPU bottleneck. Ultra runs x8 Gen5 — 8× Standard bandwidth, absolute maximum throughput. Slot 2 is open on every tier for any full-size card.

RTX 4070 / RX 7900 XTX Gaming Capture Card 10GbE NIC AI Accelerator Industrial I/O
PCIe x16 Physical — All Three Boards
1
AMD Ryzen AI Max+ 395 · x86 Engine
x16 physical · negotiates
2
+ Your GPU / Card · x16 Physical
open · full-size
3
PCIe x1 · Optional Expansion
Serial · NIC · etc.
Slot 1 auto-negotiation by tier
STD x4 Gen3 electrical ~16 GB/s
PRO x8 Gen4 electrical ~64 GB/s
ULTRA x8 Gen5 electrical ~128 GB/s
Full Specifications

Concept Spec Sheet

Three AI cores. One x86 engine. One chassis. Reference specifications — subject to change.

Standard
Orin NX 16GB
Entry sovereign AI
Pro
AGX Orin 64GB
Professional AI workstation
Ultra
Thor T5000
Physical AI supercomputer
NVIDIA Jetson AI Core
AI Performance 157 TOPSINT8 275 TOPSINT8 2,070 TFLOPSFP4 · 1,035 FP8
GPU Architecture NVIDIA Ampere
1,024 CUDA · 32 Tensor
NVIDIA Ampere
2,048 CUDA · 64 Tensor
NVIDIA Blackwell
2,560 CUDA · 96 Tensor · MIG
On-Module Memory 16 GB LPDDR5 64 GB LPDDR5 128 GB LPDDR5X
Memory Bandwidth 102 GB/s 204 GB/s 273 GB/s
CPU 8× Cortex-A78AE
up to 2.0 GHz
12× Cortex-A78AE
up to 2.2 GHz
14× Neoverse V3AE
Arm v9 · 2.6× faster/core
Module Connector 260-pin SO-DIMM 699-pin Molex Mezz 699-pin Thor Mezz
Module TDP 10 – 25 W 15 – 75 W 40 – 130 W
Operating System JetPack 6 · Ubuntu 22 JetPack 6 · Ubuntu 22 JetPack 7 · Ubuntu 24
Combined TOPS 207+50 x86 NPU 325+50 x86 NPU 2,120+FP4 + x86 NPU
x86 Windows Engine — AMD Ryzen AI Max+ 395 (same across all tiers)
x86 NPU 50 TOPS · XDNA 2 · Copilot+ PC qualified (>40 TOPS)
x86 Memory 64 GB LPDDR5x-8000 · 256 GB/s unified · shared CPU + GPU pool
CPU 16× Zen 5 cores · up to 5.1 GHz boost · 32 threads · 4nm TSMC
Integrated GPU Radeon 8060S · 40 CU RDNA 3.5 · ~RTX 4070 laptop class
Operating System Windows 11 · Full x86_64 compatibility · Native driver support
Card Interface PCIe x16 physical card · Custom KI x86 companion module · Supplemental 12V power · Negotiates x4/x8/x8 Gen5 by tier
Storage (same across all tiers)
Primary NVMe M.2 Key M · PCIe 3.0 x4 · 2280 · Customer-specified
Secondary M.2 M.2 Key M · PCIe 3.0 x4 · Open expansion
SATA 8× SATA III · Dual ASM1064 controllers · RAID 0/1/5/6/10 via mdadm · 8 internal drive bays · Customer-configurable
Connectivity
Network — Jetson 1 GbE RGMII 1 GbE RGMII · MGBE 10 GbE 4× 25 GbE · 1× 5 GbE
Network — Board 2.5 GbE management port · 10 GbE SFP+ Switch Module uplink
SD Card Full-size SD slot · Rear panel edge-mount · SDIO from Jetson · OS recovery · AI model loading · field service
USB — Rear Panel 4× USB 3.2 Gen 2 Type-A · 10 Gbps · standard ATX rear I/O position · USB-C recovery port
USB — Internal Headers 2× 19-pin USB 3.0 headers · mount port clusters anywhere in the case  |  1× 9-pin USB 2.0 front-panel header  |  1× 9-pin silkscreen-labeled CARD READER — any case-mount multi-format reader plugs in here
USB Hub On-board VL817 USB hub IC · multiplies Jetson USB budget to feed all ports and headers simultaneously · transparent to OS
Display DP 1.2 + HDMI 2.0 Multi-DP + HDMI 2.0 4× independent displays
HDMI 2.1 + 3× DP 1.4a
Wireless M.2 Key E · WiFi 6E + Bluetooth 5.3
PCIe Expansion
x86 Slot — Physical PCIe x16 gold-finger — identical on all three boards. Same connector footprint. Same x86 companion card. PCIe auto-negotiates to available lanes at link training.
x86 Slot — Electrical x4 Gen3
~16 GB/s · via PCIe switch
x8 Gen4
~64 GB/s · native · no switch
x8 Gen5
~128 GB/s · native · double Gen4
GPU Bottleneck? Minimal 1080p/1440p
~10% at 4K ultra
None Zero
Open Slot 2 Open · PCIe x16 physical · any GPU, NIC, AI accelerator, or expansion card
Slot 3 PCIe x1 · Open expansion
Form Factor (same chassis across all tiers)
Board Standard Micro-ATX · 244 × 244mm · Standard mounting · ATX 24-pin + 8-pin power
Enclosure Custom KI chassis · Multi-bay · Active cooling · PCIe slot access panel
Recommended PSU
No GPU · SSD only
450 W 500 W 600 W
Recommended PSU
No GPU · 8× HDD NAS build
550 W 650 W 750 W
Recommended PSU
+ Mid-range GPU (~200W)
750 W 850 W 950 W
Recommended PSU
+ High-end GPU (~450W)
1000 W 1000 W 1200 W
⚠ Adding a dedicated GPU — upgrade your PSU
Every tier ships with a base PSU recommendation sized for the board, drives, and x86 module only. A dedicated GPU changes that significantly. Before installing a GPU, check the card's TDP and recalculate:
Mid-range
+200 W to PSU
RTX 4070 · RX 7800 XT class
High-end
+320 W to PSU
RTX 4080 · RX 7900 XTX class
Flagship
+450 W to PSU
RTX 4090 class · needs 1000W+
Rule of thumb: add the GPU's rated TDP to your system's total draw, then add 20% headroom, then choose the next standard PSU size up. An undersized PSU under load causes instability and crashes — not component damage, but frustrating to diagnose.
Concept specifications · Subject to change · PSU figures include 20% headroom at 80+ efficiency · All three tiers share the same Micro-ATX enclosure
Coming to RigidNode Platform

Be First to Know.

This is a concept product in active development. Leave your email and we'll reach out before anything goes public.

No spam. One email when it's real.