Metachips Atlas

The complete AI stack.

Navigate the physical, computational and economic systems that make modern AI possible.

01 · Energy

Powering Intelligence

Generation, transmission, interconnection, substations, microgrids, turbines, batteries and grid constraints.

Decision: time-to-power
02 · Facilities

AI Data Centers

Campus design, EPC, commissioning, electrical topology, water, permitting and construction economics.

Decision: build model
03 · Thermal

Cooling the Machine

Cold plates, CDUs, facility water, chillers, cooling towers, immersion and high-density heat rejection.

Decision: density path
04 · Systems

Racks & Servers

Rack-scale compute, power shelves, busbars, motherboards, accelerators, NICs, storage and serviceability.

Decision: system topology
05 · Fabric

Networking & Optics

Scale-up, scale-out, Ethernet, InfiniBand, CXL, UALink, SerDes, transceivers, LPO and CPO.

Decision: fabric roadmap
06 · Compute

Silicon & Memory

GPUs, ASICs, CPUs, NPUs, HBM, chiplets, advanced packaging, NoC and memory hierarchy.

Decision: platform choice
07 · Software

Runtime & Orchestration

Compilers, kernels, model serving, scheduling, telemetry, cluster management and optimization.

Decision: utilization
08 · Workloads

Training & Inference

Prefill, decode, KV cache, MoE, batching, agents, multimodal systems and physical AI.

Decision: workload fit
09 · Economics

AI Infrastructure ROI

CapEx, OpEx, depreciation, power sensitivity, cost per token, capacity planning and supplier economics.

Decision: capital efficiency
Interactive architecture

The stack is a dependency graph.

Changes ripple across energy, facilities, racks, silicon, software and economics.

PowerTime-to-energy
ThermalHeat rejection
SystemsRack topology
ComputeSilicon + HBM
SoftwareUtilization
$EconomicsCost per token
Question-led navigation

Start with the decision.

How much power do we really need?

Translate model demand into accelerators, racks, MW, utility requirements and deployment phasing.

Should we buy GPUs or custom silicon?

Compare workload stability, software maturity, utilization, risk and lifecycle economics.

When does liquid cooling become mandatory?

Understand density, thermal headroom, water design, serviceability and retrofit constraints.

Ethernet or InfiniBand?

Assess topology, congestion, software, scale, operations and roadmap rather than headline bandwidth.

What changes at 800VDC?

Map power conversion, safety, qualification, content per rack and supplier implications.

What is the real cost per token?

Include hardware, energy, utilization, memory, networking, cooling and depreciation.