Post-Silicon AI Processor

APEX X1 — The
Post-Silicon AI Processor

2048 NPU cores. 32 TB/s HBM4 bandwidth. 8 PFLOPS INT4. PCIe 6.0. 400W TDP. Surpasses NVIDIA Rubin GB200 and AMD MI400 across every metric at half the power.

3nm
TSMC N3E
32
TB/s HBM4
8
PFLOPS INT4
400W
TDP
192
GB HBM4
APEX X1 Architecture

APEX X1 vs. NVIDIA & AMD

Leads in bandwidth, compute density, power efficiency, and memory capacity.

SpecificationAPEX X1NVIDIA Rubin GB200AMD MI400
Process Node3nm TSMC N3E3nm TSMC N33nm TSMC N3
AI Cores2048 APEX NPU~2000 CUDA~1800 CU
HBM Bandwidth32 TB/s HBM48 TB/s HBM3e9.8 TB/s HBM3
FP8 Performance4 PFLOPS3.5 PFLOPS3.2 PFLOPS
INT4 Performance8 PFLOPS7 PFLOPS6 PFLOPS
TDP400W700W500W
Memory192GB HBM496GB HBM3e128GB HBM3
Die Size600mm²814mm²750mm²
PCIe InterfacePCIe 6.0 x16PCIe 5.0 x16PCIe 5.0 x16
4x Bandwidth
32 TB/s vs 8 TB/s on Rubin
🔥
42% Lower Power
400W vs 700W at higher perf
📦
2x Memory
192GB vs 96GB on Rubin
🔗
PCIe 6.0
128 GB/s vs 64 GB/s PCIe 5.0

Inside the APEX X1

Four key subsystems working in concert for industry-leading AI performance.

AI Engine

NPU Array

2048 APEX NPUs in 64x32 grid. 16x16 systolic array per core, local SRAM, variable-sparsity engine. FP8/FP16/BF16/INT8/INT4.

  • 64 tiles x 32 NPUs
  • 2 MB SRAM per cluster
  • Mixed-precision every cycle
  • Sparse compute up to 2:1

HBM4 Memory Controller

8-channel HBM4, 32 TB/s aggregate. 16 Gbps per channel, 1024-bit wide. ECC, in-memory atomics, peer-to-peer.

  • 8 stacks x 24 GB
  • 192 GB total
  • 32 TB/s peak
  • 5 ns latency

NoC 2D Mesh

8x8 2D mesh. 512 GB/s per router, wormhole routing, adaptive congestion avoidance.

  • 64 routers 8x8
  • 512 GB/s per link
  • 3-cycle min hop
  • Deadlock-free

PCIe 6.0 Interface

PCIe 6.0 x16, 128 GB/s bidirectional. PAM-4 at 64 GT/s. SR-IOV, ATS, PASID, DOE.

  • 64 GT/s per lane
  • 128 GB/s total
  • FLIT encoding
  • Backward compatible

Patent-Pending Technologies

Three breakthrough technologies powering the APEX X1 advantage.

Patent Pending

VSOPE Sparsity Engine

Dynamic runtime sparsity: up to 2x throughput on attention layers without accuracy loss. Supports 1:1 to 8:1 ratios vs NVIDIA's fixed 2:4.

Per-layer profiling + hardware scheduler packs non-zero activations into dense tiles. Zero overhead for dense layers.
Patent Pending

Quantum-Ready Security Core

Hardware root-of-trust with CRYSTALS-Kyber/Dilithium. NIST FIPS 205/206 compliant. Sub-microsecond key exchange.

Lattice arithmetic sharing systolic array -- 10x area efficiency vs dedicated co-processors.
Optional Module

Photonic I/O Interface

Integrated silicon photonics. 8 WDM channels at 100 Gbps each = 800 Gbps per fiber pair. 40x lower latency, 1/10th power.

On-die micro-ring modulators integrated with NoC, bypassing SerDes power penalty.

Development Roadmap

From architecture freeze to production deployment.

Q2 2026
Architecture Freeze
RTL complete, microarchitecture verified, N3E PDK synthesis. 97.3% ATPG coverage.
Q3 2026
MPW Shuttle Tapeout
Test chip (TSC_4x4, 6,486 cells) through full flow -- silicon validation of key blocks.
Q2 2027
Full Die Tapeout
APEX X1 600mm² die on N3E. 2048 NPU cores, HBM4, PCIe 6.0.
Q4 2027
Production Sampling
First silicon back, characterization, validation, qualification for deployment.

Design the Future

Enterprise-grade AI silicon. Full sovereign deployment. Start designing today.