100% Original Wholesale NVIDIA RtX 2000 Ada 16GB GDDR6 NVIDIA RIX 4000 SFF Ada NVIDIA RIX 4000 Ada NVIDIA RTX 4500 Ada NVIDIA RTX 5000 Ada NVIDIA Rtx 5880 ada NVIDIA RIX 6000 Ada Game Video Gpu Graphic Card

100% Original Wholesale NVIDIA RtX 2000 Ada 16GB GDDR6 NVIDIA RIX 4000 SFF Ada NVIDIA RIX 4000 Ada NVIDIA RTX 4500 Ada NVIDIA RTX 5000 Ada NVIDIA Rtx 5880 ada NVIDIA RIX 6000 Ada Game Video Gpu Graphic Card

Here’s a detailed comparison table for the NVIDIA RTX Ada Generation GPUs, including the RTX 2000 Ada, RTX 4000 SFF Ada, RTX 4000 Ada, RTX 4500 Ada, RTX 5000 Ada, RTX 5880 Ada, and RTX 6000 Ada:

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NVIDIA RTX Ada Generation Workstation GPUs Comparison Table

Feature	RTX 2000 Ada (16GB)	RTX 4000 SFF Ada	RTX 4000 Ada	RTX 4500 Ada	RTX 5000 Ada	RTX 5880 Ada	RTX 6000 Ada
GPU Architecture	Ada Lovelace	Ada Lovelace	Ada Lovelace	Ada Lovelace	Ada Lovelace	Ada Lovelace	Ada Lovelace
CUDA Cores	~3,840	~6,144	~7,680	~7,680	~12,800	~14,080	~18,176
VRAM (GDDR6)	16GB	20GB	20GB	24GB	32GB	48GB	48GB
Memory Bus Width	128-bit	160-bit	160-bit	192-bit	256-bit	384-bit	384-bit
Memory Bandwidth	~288 GB/s	~360 GB/s	~480 GB/s	~576 GB/s	~768 GB/s	~960 GB/s	~960 GB/s
Boost Clock	~1.8 GHz	~2.0 GHz	~2.3 GHz	~2.5 GHz	~2.6 GHz	~2.7 GHz	~2.5 GHz
FP32 Performance	~13.8 TFLOPS	~24.6 TFLOPS	~35.3 TFLOPS	~38.4 TFLOPS	~66.6 TFLOPS	~76.0 TFLOPS	~91.1 TFLOPS
RT Cores	3rd Gen	3rd Gen	3rd Gen	3rd Gen	3rd Gen	3rd Gen	3rd Gen
Tensor Cores	4th Gen (AI)	4th Gen (AI)	4th Gen (AI)	4th Gen (AI)	4th Gen (AI)	4th Gen (AI)	4th Gen (AI)
TDP (Power)	~70W	~70W (SFF)	~130W	~210W	~250W	~300W	~300W
Max Displays	4x DP 1.4a	4x DP 1.4a	4x DP 1.4a	4x DP 1.4a	4x DP 1.4a	4x DP 1.4a	4x DP 1.4a
NVLink Support	No	No	No	No	Yes	Yes	Yes
Use Case	Entry CAD, AI, Rendering	Compact Workstations	Mid-range Pro Workloads	High-end Rendering	Advanced AI/ML	Extreme Compute	Ultimate Pro Viz/AI

1. NVIDIA RTX 2000 Ada (16GB GDDR6) – Entry-Level Professional GPU

• Architecture: Ada Lovelace
• CUDA Cores: ~3,840
• VRAM: 16GB GDDR6 (128-bit bus, 288 GB/s bandwidth)
• Power (TDP): 70W
• Key Features:
  • Designed for entry-level professional workflows (CAD, light AI, rendering).
  • Supports 4x DisplayPort 1.4a (up to 8K @ 60Hz with DSC).
  • 3rd Gen RT Cores & 4th Gen Tensor Cores for ray tracing and AI acceleration.
• Best For: Budget workstations, architects, and engineers needing efficient Ada performance.

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2. NVIDIA RTX 4000 SFF Ada (20GB GDDR6) – Compact Workstation GPU

• Architecture: Ada Lovelace
• CUDA Cores: ~6,144
• VRAM: 20GB GDDR6 (160-bit bus, 360 GB/s bandwidth)
• Power (TDP): 70W (Small Form Factor)
• Key Features:
  • SFF (Single-Slot) design for compact workstations.
  • Higher CUDA cores than RTX 2000 Ada, better for mid-range 3D modeling & AI.
  • Efficient cooling for space-constrained builds.
• Best For: Small-form-factor PCs, medical imaging, and engineering workstations.

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3. NVIDIA RTX 4000 Ada (20GB GDDR6) – Mid-Range Pro GPU

• Architecture: Ada Lovelace
• CUDA Cores: ~7,680
• VRAM: 20GB GDDR6 (160-bit bus, 480 GB/s bandwidth)
• Power (TDP): 130W
• Key Features:
  • 35.3 TFLOPS FP32 performance – great for real-time rendering & AI.
  • DLSS 3 & AV1 encoding support for content creators.
  • More CUDA cores than the SFF version, better for sustained workloads.
• Best For: Professional 3D design, video editing, and machine learning.

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4. NVIDIA RTX 4500 Ada (24GB GDDR6) – High-End Workstation GPU

• Architecture: Ada Lovelace
• CUDA Cores: ~7,680 (higher clock speeds than RTX 4000 Ada)
• VRAM: 24GB GDDR6 (192-bit bus, 576 GB/s bandwidth)
• Power (TDP): 210W
• Key Features:
  • 38.4 TFLOPS FP32 – optimized for complex simulations & rendering.
  • 24GB VRAM handles large datasets and high-res textures.
  • Supports NVLink (multi-GPU configurations).
• Best For: Advanced CAD, scientific computing, and virtual production.

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5. NVIDIA RTX 5000 Ada (32GB GDDR6) – AI & Rendering Powerhouse

• Architecture: Ada Lovelace
• CUDA Cores: ~12,800
• VRAM: 32GB GDDR6 (256-bit bus, 768 GB/s bandwidth)
• Power (TDP): 250W
• Key Features:
  • 66.6 TFLOPS FP32 – ideal for AI training & large-scale rendering.
  • NVLink support for multi-GPU scaling.
  • 32GB VRAM eliminates bottlenecks in memory-heavy tasks.
• Best For: Deep learning, 8K video production, and photorealistic rendering.

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6. NVIDIA RTX 5880 Ada (48GB GDDR6) – Extreme Compute GPU

• Architecture: Ada Lovelace
• CUDA Cores: ~14,080
• VRAM: 48GB GDDR6 (384-bit bus, 960 GB/s bandwidth)
• Power (TDP): 300W
• Key Features:
  • 76 TFLOPS FP32 – optimized for scientific computing & large AI models.
  • 48GB VRAM for massive datasets (e.g., LLMs, CFD simulations).
  • PCIe Gen5 support for ultra-fast data transfer.
• Best For: High-performance computing (HPC), generative AI, and simulation.

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7. NVIDIA RTX 6000 Ada (48GB GDDR6) – Flagship Workstation GPU

• Architecture: Ada Lovelace
• CUDA Cores: ~18,176
• VRAM: 48GB GDDR6 (384-bit bus, 960 GB/s bandwidth)
• Power (TDP): 300W
• Key Features:
  • 91.1 TFLOPS FP32 – the most powerful RTX Ada GPU.
  • Full-speed NVLink for multi-GPU scalability.
  • Best-in-class ray tracing & AI performance.
• Best For: Hollywood-grade VFX, AI research, and real-time ray tracing.

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Summary of Best Use Cases:

• RTX 2000 Ada → Budget CAD/media workstations.
• RTX 4000 SFF Ada → Compact professional PCs.
• RTX 4000 Ada → Balanced pro workflows.
• RTX 4500 Ada → High-end rendering & simulation.
• RTX 5000 Ada → AI/ML & large-scale content creation.
• RTX 5880 Ada → Scientific computing & big data.
• RTX 6000 Ada → Ultimate performance for VFX & AI.