Fueling the Next Wave of AI Data Center Buildouts

The Muon Series HBM4 Chipset

Deterministic 3D Memory Logic for 100,000+ GPU AI Clusters. Engineered by Titan Memory Systems to eliminate the memory latency wall, unlocking sub-2ns refresh preemption and 2.048+ TB/s per-stack bandwidth.

Launch Interactive Simulator View Technical Datasheet

Titan Memory Systems - Muon HBM4 Chipset 3D Stacked Die Render

3D Heterogeneous Package Muon HBM4 Base-Die Logic Layer on 2.5D Silicon Interposer Substrate

< 2.0 ns Refresh Preemption Latency

2.048+ TB/s Per-Stack Peak Bandwidth

128-Entry Priority-Aware OOO ROB

0.40 V Ultra-Low VDDQ PHY

Why Muon Series? The AI Memory Bottleneck Solved

Designed specifically to maximize GPU utilization and cut cluster tail latency in next-gen AI supercomputers.

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Eliminating GPU Starvation

In massive LLM training and inference clusters (e.g. Llama 3 405B & Gemini), standard HBM refresh stalls freeze thousands of Tensor Cores. Muon's <2ns hardware preemption eliminates memory stalls, ensuring GPUs never sit idle.

Peak Compute Utilization

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25% Higher Token Throughput & Lower TCO

By delivering 2.048+ TB/s per stack and 256-byte micro-flit streaming optimized for KV-cache retrievals, Muon increases inference token-per-second generation speed while cutting data center energy overhead.

Data Center TCO Reduction

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Smart 3nm Base-Die Intelligence

Standard HBM3e relied on passive base dies. HBM4 introduces 3nm/4nm active logic nodes. Titan's Muon IP embeds priority routing and out-of-order execution directly into the bottom logic die layer.

3D Heterogeneous IP

Target Ecosystem & Industry Partners

Strategic licensing and co-design paths for semiconductor leaders and cloud providers.

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Tier-1 Memory Vendors

SK Hynix, Samsung, Micron

Differentiate your HBM4 stacks against standard JEDEC offerings. Licensing Muon Base-Die IP delivers 20x lower latency for your flagship memory stacks.

HBM4 Memory Makers

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AI Chipmakers & GPU Builders

NVIDIA (Rubin Ultra), AMD, Broadcom

Co-specify Muon HBM4 base dies to eliminate GPU memory wait states, boosting tokens-per-second output without modifying GPU SM cores.

Next-Gen AI GPUs

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Hyperscaler Custom Silicon

AWS (Trainium), Google (TPU), Meta (MTIA)

Integrate Muon base-die IP into custom AI accelerator ASICs to cut cloud cluster tail latency by 85% and maximize infrastructure ROI.

Cloud AI Data Centers

Interactive 3D Stack Architecture Diagram

Click or hover over any silicon layer to inspect microarchitectural signal paths, TSV density, and execution blocks.

ACTIVE TARGET LAYER

Muon Custom Base Logic Die

The brain of the HBM4 stack. Implemented in 3nm logic node (or Sky130 MPW shuttle), integrating hardware refresh preemption in < 2ns, 128-entry out-of-order ROB, and 256-byte micro-flit streaming.

Preemption Overhead < 1.8 ns (< 2 cycles)

ROB Capacity 128 Outstanding Entries

Sideband Bus APB Register Config Bus

PHY Interface 2048-bit Wide Bus @ 0.40V

Interactive Preemption Simulator

Simulate memory latency behavior under dynamic DRAM refresh collisions and workload priorities.

Workload Priority Level: 15 (Critical LLM Read)

Preemption Flag (`preempt`):

Background Refresh Load (`tRFC`):

Calculated Latency 1.8 ns

Refresh Status Preempted in 2 cycles

ROB Commit Order Priority Out-of-Order (Slot #0)

Waveform Monitor (`gtkwave` / `verilator` trace output)

clk

host_req.valid

early_valid_o

refresh_preempt

host_resp.valid

Performance Benchmarks

Comparison vs. Standard JEDEC JESD270-4 HBM4 Baselines

Critical Read Latency Under Refresh

JEDEC HBM4: 65.0 ns

Muon HBM4 Series: 1.8 ns (20x Faster!)

Effective Bandwidth Utilization

JEDEC HBM4: 1.64 TB/s

Muon HBM4 Series: 2.048 TB/s (25% Higher)

Technical Datasheet & Open PDK Package

The Titan Memory Systems repository includes synthesizable SystemVerilog RTL, Verilator testbenches, OpenLane configuration for SkyWater 130nm (`sky130A`), and synthesized netlist.

✔️ Complete synthesizable RTL package (`hbm4_custom_pkg`, `priority_router`, `reorder_buffer`)
✔️ 100% Passing Verilator Cycle-Accurate Verification Suite
✔️ OpenLane SkyWater 130nm MPW Shuttle Package (7.4 mm² area, 72% Caravel frame fit)
✔️ Synthesized Gate-Level Netlist (`hbm4_custom_top_netlist.v`)

Read Interactive Technical Datasheet View MPW Shuttle Tapeout Guide