NVIDIA Elite Partner · GabeHERO Product Line
From the edge
to the data center.
A complete sovereign AI infrastructure stack, pre-installed with GabeIO OS and ready to deploy out of the box. GabeHERO RX trains the models; GabeHERO TX deploys them.
GabeHERO TX
Local AI inference on a single unit.
A Micro AI Factory powered by the NVIDIA Jetson Thor T5000 (Blackwell). Run 70B–120B parameter models on-premises — deployed in 5 minutes, no cloud required.
LOCAL AI INFERENCE WORKSTATION · GABE IO, INC
GabeHERO TX
Micro AI Factory — enterprise-grade local AI inference on a single unit, no cloud required
NVIDIA ELITE PARTNER
GPUNVIDIA Jetson Thor T5000 (Blackwell)
AI Performance2,070 TFLOPS (FP4)
Supported Models70B–120B Parameter LLMs
Memory128 GB Unified Memory
Storage2TB NVMe SSD
CPU14-Core Arm Neoverse V3AE
Networking10GbE, QSFP28, Wi-Fi 6, BT 5.3
CoolingAdvanced Liquid Cooling
Dimensions7.9 × 7.9 × 6.4 in
Power40–140 W
Form FactorCompact Desktop Workstation
OS & SoftwareNemoClaw + 2,000+ AI Skill Packs
Data Sovereignty100% on-premises — data never leaves
DeploymentReady in 5 minutes
RegulatoryFCC
Built for
- Manufacturing — quality inspection, predictive maintenance, and process optimization, all running locally.
- Logistics — route optimization, demand forecasting, and warehouse automation with zero cloud dependency.
- Enterprise AI agents — AI assistants and digital employees at a flat, predictable cost, with no per-call fees.
- Financial services — every transaction screened locally, with financial data kept entirely within your institution.
GabeHERO RX
Train and fine-tune models in your own data center.
A 6U rack-mount enterprise AI server for AI model training, fine-tuning, simulation, and high-throughput batch inference at scale. All workloads run entirely on-premises.
DATA CENTER AI SERVER · GABE IO, INC
GabeHERO RX
Data Center AI Server for Private Infrastructure — Sovereign. Scalable. Out-of-the-Box.
NVIDIA ELITE PARTNER
GPUNVIDIA RTX PRO 6000 (Blackwell)
GPU CountUp to 8 × dual-width, 600W per card
Form Factor6U Rack Server
MIG SupportYes — GPU splitting supported
CPU2 × Intel Xeon 4th/5th Gen or 2 × AMD EPYC 9004/9005
Storage12 bays: 8 × SATA/SAS + 4 × SATA/SAS/NVMe
Expansion11 × PCIe 5.0 (2× bandwidth vs. prev. gen)
CoolingIndependent CPU/GPU airflow channels
ManagementSmart Ear Hook: VGA, BMC, Type-C serial
Operating SystemGabeIO OS (Physical AI or Digital AI Platform)
Power Supply8,000W
DimensionsH 10.38″ × W 17.60″ × L 36.05″
WeightUp to 173.5 lbs
Built for
- Sovereign AI model training — fine-tune and serve large language models and industry-specific models (financial, legal, healthcare) entirely on-premises. Models, training data, and logs remain in your facility.
- Embodied AI & robotics — train simulation and world model pipelines and robot models locally, then synchronise them to edge devices.
- Fine-tuning workflows — LoRA, SFT, CPT, and reinforcement learning with mainstream frameworks including PyTorch and NVIDIA NeMo.
Train on RX. Deploy on TX.
Models trained or fine-tuned on the GabeHERO RX can be compressed and deployed to the GabeHERO TX for persistent on-premises inference — a complete edge-to-data-center AI pipeline under your control.