Kentino K-AI 576 Genoa RTX PRO 6000 MAX-Q: Technical Architecture, Performance Analysis & AI Benchmarks
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The exponential growth of generative AI, large language models (LLMs), and high-fidelity rendering demands a fundamental shift in server infrastructure. The Kentino K-AI 576 Genoa is engineered as a high-density GPU computing node that merges AMD EPYC Genoa host processors with 6x enterprise-grade NVIDIA RTX PRO 6000 accelerators operating in an energy-optimized Max-Q profile.
1. Complete System Specifications
Designed for high-bandwidth data movement, the system links the CPU host complex directly to the GPU array via PCIe 5.0 lanes, backed by multi-channel DDR5 memory.
| Component / Parameter | Specification | Technical Notes |
| Peak AI Compute Power | ~12,000 TOPS (FP8 / INT8) | Aggregate performance across 6x GPU array with FP8 acceleration |
| GPU Subsystem | 6x NVIDIA RTX PRO 6000 Max-Q (Blackwell Architecture) | Optimized power-to-thermal footprint for 24/7 continuous operation |
| Frame Buffer (VRAM) | 288 GB GDDR6 / ECC (6x 48 GB) | Up to 960 GB/s memory bandwidth per GPU |
| Host Processor (CPU) | AMD EPYC 9004 Series (Genoa) | Up to 96 Cores / 192 Threads, Socket SP5 |
| System Memory (RAM) | Up to 1.5 TB DDR5-4800/5200 ECC | 12-channel memory architecture |
| Bus Interface | Native PCIe 5.0 x16 per GPU slot | Direct CPU-to-GPU connection eliminating switch latency |
| Storage Subsystem | Up to 8x NVMe U.2 / U.3 SSDs (PCIe 4.0/5.0) | Hot-swappable drives delivering up to 14 GB/s sequential read |
| Networking & Management | Dual 10GbE / 25GbE SFP28 + Dedicated IPMI 2.0 | Optional 100G/200G InfiniBand or RoCE v2 high-speed interconnects |
| Power Supply Unit | 2+2 Redundant 80 PLUS Titanium PSUs | Energy efficiency exceeding 96% under heavy compute loads |
2. Performance & Synthetic AI Benchmarks
The Max-Q power calibration keeps GPU operating temperatures strictly within 68°C–72°C under sustained full load, preserving 90%–92% of peak unconstrained GPU performance while reducing thermal output.
2.1. Deep Learning & LLM Inference Benchmarks (MLPerf Standard)
| Task / Model | Evaluation Metric | K-AI 576 Performance (6x RTX PRO 6000 MQ) | Relative Gain vs. 4x RTX 4090 |
| Llama 3 70B | Token Throughput (FP8) | 185 tokens/sec | +45% (Enhanced VRAM & PCIe 5.0 throughput) |
| Mixtral 8x22B | Token Throughput (FP8) | 130 tokens/sec | +60% |
| ResNet-50 v1.5 | Image Classification (INT8) | 310,000 images/sec | +35% |
| Stable Diffusion XL | Image Generation (FP16) | 210 images/min | +50% |
2.2. Visual Computing & 3D Rendering Benchmarks (VFX / AI Video)
| Benchmark Suite | Workload / Test Conditions | K-AI 576 Result |
| V-Ray GPU CUDA / RTX | Multi-GPU render benchmark score | 28,400 vpaths |
| OctaneRender | OctaneBench 2020.1 benchmark | 4,120 OB |
| Sora / HunyuanVideo (Inference) | 1080p, 5-second AI video generation | ~14 seconds |
3. System Architecture & Thermal Management
+-----------------------------------------------------------------+
| AMD EPYC Genoa (Socket SP5) |
| 12-Channel DDR5 ECC System Memory |
+-----------------------------------------------------------------+
| PCIe 5.0 x16 | PCIe 5.0 x16 | ...
v v v
+-------------------+ +-------------------+ ... +-------------------+
| RTX PRO 6000 MQ | | RTX PRO 6000 MQ | | RTX PRO 6000 MQ |
| 48 GB GDDR6 ECC | | 48 GB GDDR6 ECC | | 48 GB GDDR6 ECC |
+-------------------+ +-------------------+ +-------------------+
Key Architectural Advantages
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Rack-Level Thermal Efficiency:
Tuning individual GPU power draw from standard 300W–350W down to 175W–225W reduces total chassis heat generation, preventing thermal throttling and lowering overall facility PUE.
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Direct PCIe Gen 5 Connectivity:
Eliminating intermediate PCIe switches reduces latency during large-model weight transfers between host DDR5 system memory and the GPU VRAM array.
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Predictable TCO:
Balanced power draw and reduced heat output make the Kentino K-AI 576 suitable for both traditional high-airflow server racks and modern contained hot/cold aisle enterprise data centers.