Amagit TechnologyAdaptive Model Compression (AMC)
Taped-out AMC ASICs cut compute & memory energy use by ~60% at the hardware level, resetting datacenter PUE and power-density ceilings.
Power Crisis
Modern GPU racks have hit the physical limits of grid power and air cooling.
Supermicro's Rack Power Bottleneck
Modern GPU racks demand 50kW–100kW+ per rack — traditional grid power and air cooling have hit their physical limits, forcing a shift to complex, expensive liquid cooling.
The AMC ASIC Breakthrough
Taped-out AMC ASICs achieve ~60% systemic energy reduction, fundamentally resetting power density limits.
The Memory Wall
Off-chip memory access costs orders of magnitude more energy than on-chip compute.
Memory Access Energy Drain
Standard LLM inference treats all tokens uniformly, allocating high precision to low-information content like punctuation, driving unnecessary power drain.
Data movement cost: reading from off-chip DRAM costs orders of magnitude more energy than on-chip compute.
AMC Saliency-Driven Allocation
AMC calculates dynamic saliency scores pre-execution, tiering tokens into High, Mid, and Low to gate hardware clock and precision.
Energy at the source: eliminating unnecessary power draw without harming core accuracy.
HW-SW Co-Design
From token-level saliency scoring to RTL-level clock gating.
Saliency Engine
Runs pre-execution score analysis on the CPU to guide dynamic hardware resource allocation — compatible with mainstream LLMs (OpenAI, Anthropic, DeepSeek…).
Structural Alignment
One-time offline calibration reorders weights, allowing zero-loss runtime gating.
Adaptive Hardware
Fine-grained clock gating, dynamic precision switching, and narrow bit-width writes cut compute and memory energy at the hardware level.
A Fundamental Infrastructure Shift
Grid Requirements
Eliminates multi-megawatt grid upgrades, running on standard datacenter feeds — deployable in ordinary industrial parks.
Cooling Simplify
Removes complex liquid cooling loops and leak risk, returning to safe, high-reliability air cooling.
CAPEX & OPEX
Cuts datacenter building CAPEX by >50% and operational electricity bills by >60%.
Datacenter Comparison
AMC Tape-Out ASIC Compute Center vs Supermicro Traditional High-Density AI Datacenter
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| Metric | Supermicro Traditional High-Density AI DC | AMC ASIC Green AI Compute Center |
|---|---|---|
| Rack Power Density | 40 kW – 100 kW / Rack (extreme density) | 8 kW – 15 kW / Rack (standard rack) |
| Cooling System | Coolant Distribution Units (CDU) + complex liquid / immersion cooling | High-efficiency standard air cooling |
| PUE | 1.15 – 1.25 | < 1.08 |
| Grid Demand | Requires megawatt-class transformer expansion & HVDC distribution | Seamlessly compatible with existing standard industrial grid & facilities |
| CAPEX | High (liquid cooling loops, pumps, leak protection, premium GPUs) | Reduced 55%+ (standard racks & conventional air cooling) |
Energy Scaling Trends
Power draw required to deliver 100 PFLOPS of AI compute.
Both scenarios deliver 100 PFLOPS — AMC needs ~74% less power to get there.
Edge Comparison
AMC FPGA Acceleration
Operates at 75W–150W. Enables real-time LLM inference via hardware-gated quantization.
Small AI Server (GPU/CPU)
Consumes 250W–450W. Requires heavy cooling fans and continuous high power feed.
Form Factor Revolution
Over 70% power drop unlocks fanless sealed devices and battery-operated edge deployment.
Applications
AMC is purpose-built to be the "eyes" — running vision workloads (images, cameras, smart glasses) cuts whole-device power by over half, and image data happens to be the easiest content to safely down-tier. Our focus: always-on, low-power vision Edge AI chips for autonomous-vehicle smart cameras, robots, and LiDAR.
Autonomous Vehicles
AMC Chip Acceleration
Robots & Robot Dogs
AMC Chip Acceleration
Drones
AMC Chip Acceleration
10x Edge Efficiency
A New Era for On-Device AI
No More Bulky Edge Servers
Eliminates the need for bulky edge server racks, saving space and electricity.
Portable & Long Endurance
Enables robotics, drones, and handheld devices to run local LLMs on battery power.
With more than $1 trillion already invested in AI datacenters, and $31.6 trillion projected through 2050, capturing just 2% of that market represents $640 billion.
Amagit Technology's Green AI Revolution
AMC (Adaptive Model Compression): leading the next era of green, efficient compute
We hope every AI center runs on Amagit's AMC chips, and every edge AI platform relies on us to cut power consumption and boost output — with confidence to become a $100B company in 5 years, given current AI infrastructure investment trends.
contact@amagittech.com