100% Original Wholesale Brand new Graphics Particle TU102-300A Graphics Card Chip TU102-TU106 Series

Naming Convention: Similar to TU102-300 (RTX 2080 Ti’s full die), the GA106-300 is the full chip, while GA106-150 is a cut-down variant.
Memory Bus: The GA106-150 might use a narrower bus (e.g., 128-bit) if NVIDIA further restricts it (like GTX 1650 variants).
Performance Gap: The GA106-150 loses ~1/3 of cores and memory, aligning with NVIDIA’s segmentation for lower-tier GPUs.
Power Efficiency: The GA106-150’s lower TDP makes it suitable for small-form-factor or OEM systems.

Category: GPU Die

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100% Original Wholesale Brand new Graphics Particle TU102-300A Graphics Card Chip TU102-TU106 Series

Here’s a detailed comparison table in the style of TU102-300 (similar to NVIDIA’s high-end Turing GPUs like the RTX 2080 Ti), but applied to GA106-300 and GA106-150 for a clear contrast:

GA106-300 vs. GA106-150 Comparison Table

(Structure inspired by TU102-300 specifications)

Specification	GA106-300 (Full Chip)	GA106-150 (Cut-Down)	Difference
Die Variant	Full GA106 (300-A1)	Partial GA106 (150-A1)	Disabled SMs
CUDA Cores	3,584	~2,304 (est.)	-36%
SMs (Streaming Multiprocessors)	28	~18 (est.)	-10 SMs
Base Clock	1,320 MHz	~1,020 MHz (est.)	-23%
Boost Clock	1,777 MHz	~1,500 MHz (est.)	-16%
Memory Size	12GB GDDR6	6GB GDDR6 (est.)	-50%
Memory Bus Width	192-bit	192-bit (or 128-bit*)	Unchanged*
Memory Bandwidth	360 GB/s	~240 GB/s (est.)	-33%
RT Cores	28 (2nd Gen)	~18 (est.)	-36%
Tensor Cores	112 (3rd Gen)	~72 (est.)	-36%
TDP	170W	~120W (est.)	-29%
Typical Use Case	RTX 3060 12GB	OEM/Low-power variants	Budget-tier

Here’s a technical description of the TU102-300 GPU die in the style of NVIDIA’s official documentation, with clear segmentation of key features:

TU102-300 GPU Die Overview

(Full Implementation of TU102, e.g., RTX 2080 Ti/Quadro RTX 6000)

1. Architectural Profile

Codenamed: TU102-300-A1 (Full die, 300-series variant)
Architecture: Turing (12nm FinFET)
Die Size: 754 mm²
Transistors: 18.6 billion
CUDA Core Revision: Turing (INT/FP32 concurrent execution)

2. Core Configuration

CUDA Cores: 4,608
Streaming Multiprocessors (SMs): 72 (6x GPCs, 12 SMs per GPC)
RT Cores: 72 (2nd-gen, 7x ray tracing performance vs. Pascal)
Tensor Cores: 576 (3rd-gen, supports FP16/INT8/INT4 for DLSS & AI)
Base Clock: 1,350 MHz | Boost Clock: 1,635 MHz (OC models up to ~1,800 MHz)

3. Memory Subsystem

VRAM: 11GB GDDR6 (352-bit bus)
Memory Bandwidth: 616 GB/s (14 Gbps effective speed)
L2 Cache: 6MB (Turing’s unified cache architecture)

4. Power & Interface

TDP: 250W (Founders Edition) | PCIe Interface: 3.0 x16
Power Connectors: 1x 8-pin + 1x 6-pin (reference design)

5. Target Applications

Gaming: 4K/1440p ultra settings with real-time ray tracing (e.g., RTX 2080 Ti)
Professional: Quadro RTX 6000 (48GB VRAM variant for workstation rendering)
AI/Compute: FP16/INT8 acceleration for deep learning inference.

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