ISM 2.0 / DLI ALIGNED
FLAGSHIP PRODUCT REVEAL • SOKB SILICON LABS

THE CHIP INDUSTRY IS MOVING.
ATLAS-I IS COMING.

The traditional boundaries of silicon are officially history. SOKB Semiconductor unveils a fundamental leap in hardware engineering: the ATLAS-I Chiplet Architecture. Built from the ground up to handle intense edge computing workloads, ATLAS-I delivers raw processing power without any thermal penalty.

Break through performance barriers with our chiplet design. Engineered to rewrite the limitations of modern silicon, the ATLAS-I architecture balances raw processing throughput with hyper-optimized physical power networks.

Architectural Innovations

Engineered for Intense Edge Computing Workloads

30% More Efficient

Custom on-die power delivery layers curb extreme thermal leaks, maximizing operational clock limits without driving up power consumption. By segmenting core execution clusters away from high-noise I/O, ATLAS-I operates at top clock ceilings with zero thermal throttling.

Power Delivery: On-Die Micro-Regulated
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50% More Compute Density

Packed physical matrix scaling layout designed intentionally to process extensive neural network calculations smoothly. Dedicated hardware matrix-multiplication lanes provide deterministic throughput for real-time computer vision, sensor fusion, and on-device ML.

Compute Matrix: 1.5x MAC Throughput / mm²
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The RISC-V Edge Standard

Engineered to handle dense concurrent processing requests under high systemic strain with strict uptime guarantees. 100% sovereign open instruction architecture, free of geopolitical licensing chokeholds and proprietary firmware black-boxes.

Ecosystem: Open RISC-V Sovereign Autonomy
Engineering Characterization

ATLAS-I Preliminary Hardware Matrix

Target performance parameters engineered for integration by drone avionics contractors, smart metering infrastructure suppliers, and edge AI hardware builders.

Scroll horizontally for full matrix
Architectural Vector ATLAS-I Specification Target Advantage
Compute Topography Dual-Core / Quad-Cluster Chiplet Tile Modular die-to-die scalability without full mask re-spins
Instruction Architecture RV32IMAC + Custom Matrix Acceleration Deterministic real-time control loops and edge neural operations
Power Efficiency Metric +30% Systemic Power Reduction Extends edge battery life and enables fanless passive enclosures
Silicon Compute Density +50% Logic Density per mm² Processes dense concurrency without memory bottleneck stalls
Fabric Interconnect 64-bit Low-Latency AXI4 Crossbar 12.8 Gbps per lane non-blocking crossbar routing
Fabrication Node 40nm Bulk CMOS + Advanced Die Packaging High yield, low wafer cost, and full India DLI grant eligibility
EXCLUSIVE INSIDER REGISTRATION

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