⊕ Hardware Intelligence Division

World's Most Powerful
AI Supercomputers

Technical comparison of enterprise AI hardware — GPU specs, inference performance, deployment requirements, and capability analysis for Australian businesses.

Updated May 2026 · Prices in AUD where noted
Side by Side

Full Specification Comparison

Specification
NVIDIA
DGX H100
8× H100 SXM5 · Data Centre
Data Centre Grade
APPLE
Mac Studio M3 Ultra
M3 Ultra · Desktop Workstation
Desktop Workstation
HONEYLAI
AI Station Titan
RTX 3090/4090 · On-Premise
On-Premise · Australian
GPU
8× H100 SXM5 640GB HBM3 total
M3 Ultra GPU 80-core · Unified Memory
RTX 3090 / 4090 24GB GDDR6X VRAM
VRAM / Memory
640GB HBM3 3,350 GB/s bandwidth
Up to 192GB 819 GB/s unified
24GB GDDR6X 936 GB/s bandwidth
AI Performance
32 PetaFLOPS FP8 · Transformer Engine
~22 TOPS Neural Engine · Apple
~165 TOPS FP16 inference
Tokens / sec
2,000+ T/s Llama 3 70B
~45 T/s Llama 3 70B Q4
~45–65 T/s Llama 3 70B Q4
Max Model Size
600B+ params Full precision training
600B+ params Quantised inference only
70B Q4 Quantised inference
CPU
2× Intel Xeon 56 cores total
M3 Ultra 32-core CPU
Intel Ultra 9 285 24 cores · 5.6GHz
System RAM
2TB DDR5 ECC 8-channel
Up to 192GB Unified (shared GPU/CPU)
Up to 256GB DDR5-6000 ECC
Storage
30TB NVMe RAID enterprise
Up to 8TB SSD Apple proprietary
Up to 4TB NVMe PCIe Gen4 · Biwin
Power Draw
10,000W+ Requires 3-phase power
60–480W Standard power outlet
350–850W Standard outlet
Form Factor
10U Rack Data centre required
Desktop 19.7cm × 19.7cm × 9.5cm
Desktop / 2U Rack Mid tower or rackmount
OS / Software
Ubuntu + DGX OS CUDA · Docker · Full stack
macOS Limited CUDA support
Ubuntu 24.04 LTS CUDA · Docker · Ollama
Data Sovereignty
✓ On-Premise Full control
✓ On-Premise Local processing
✓ On-Premise Zero cloud exposure
Logic Kernel
Compatible Manual setup required
Limited macOS restrictions
✓ Pre-installed HLK v4.x ready
Best For
Training LLMs Research · HPC · Cloud providers
Private Inference SMB · Creative · Dev teams
Enterprise AI Medical · Legal · Financial
In Depth

System Profiles

Detailed breakdown of each platform's strengths, limitations, and ideal use cases

H100 SXM5 GPU 1/8 H100 SXM5 GPU 2/8 H100 SXM5 GPU 3/8 H100 SXM5 GPU 4/8 H100 SXM5 GPU 5/8 H100 SXM5 GPU 6/8 H100 SXM5 GPU 7/8 H100 SXM5 GPU 8/8 NVLink 4.0 · 900 GB/s · 32 PETAFLOPS FP8
Data Centre Grade
NVIDIA DGX H100
The world's most powerful AI training system — 8× H100 Tensor Core GPUs with NVLink fabric
640GB
HBM3 VRAM
32 PF
AI Performance
2TB
System RAM
30TB
NVMe Storage
Performance vs alternatives
AI Training Speed
Inference Speed
Value for Money
Ease of Deployment
Best for: Large-scale LLM training, research institutions, cloud providers, government AI projects. Requires data centre infrastructure — 3-phase power, specialised cooling, and InfiniBand networking.
Contact us for pricing & availability Enterprise Grade
M3 ULTRA 80-CORE GPU 192GB UNIFIED · 819 GB/s 7.7 × 7.7 × 3.7 INCHES
Desktop Workstation
Apple Mac Studio
M3 Ultra — the most power-efficient AI workstation on the market. Runs 600B+ parameter models in unified memory.
192GB
Unified Memory
819GB/s
Memory BW
32-core
Neural Engine
60W
Typical Power
Performance vs alternatives
AI Training Speed
Inference Speed
Value for Money
Ease of Deployment
Best for: Private AI inference, small teams, developers, and businesses needing silent, energy-efficient AI on a desk. Limited CUDA ecosystem — not ideal for Linux-based AI stacks or Honeylai Logic Kernel.
Available from Apple.com · apple.com/au
Logic Kernel
LIMITED
RTX 3090 / 4090 24GB GDDR6X 96GB DDR5 4TB NVMe HLK v4.x VERIFIED UBUNTU 24.04 · OLLAMA
⊕ Honyla Built
Honyla AI Station
Purpose-built private AI infrastructure — pre-loaded with Logic Kernel, Ubuntu 24.04, and Ollama. Ready to deploy on day one.
24GB
GPU VRAM
96GB
DDR5-6000
HLK
Logic Kernel
100%
On-Premise
Performance vs alternatives
AI Training Speed
Inference Speed
Value for Money
Ease of Deployment
Best for: Australian organisations needing private AI with full data sovereignty. Logic Kernel pre-installed — ready to run Llama 3, Mistral, and custom agents on day one.
Purchase · Lease · Finance — contact us ✓ HLK Pre-installed
Expert Verdict

Which System is Right for You?

Choose NVIDIA DGX H100 if...
You are training large language models from scratch, running a GPU cloud, or need maximum throughput for research. Budget is $500K+ including infrastructure. You have a data centre team.
LLM Training Research Cloud Providers Universities Government
Choose Apple Mac Studio if...
You need silent, energy-efficient private AI inference on a desktop. You work in macOS and don't require CUDA. Best for creative agencies, small dev teams, and individuals running Ollama locally.
Small Teams Inference Only macOS Workflow Energy Efficiency
Choose Honyla AI Station if...
You need private AI with data sovereignty, ready to deploy in your office or clinic. Comes with Logic Kernel pre-installed, Ubuntu configured, and Australian support. Best value for regulated industries.
Medical Practices Law Firms Accounting Australian SMB Data Sovereignty
Next Step

Ready to Deploy Private AI?

Our team will assess your requirements and recommend the right hardware configuration. No cloud exposure. No licensing fees. Just powerful, private AI on your own infrastructure.

Request Architecture Review ⊕ Configure AI Station
✓ Sydney-based · Australian Support · Data Sovereignty
Honeylai
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