GIGABYTE Radeon Pro W7800 AI TOP 48G W7800 AI TOP 32G GDDR6 Fan New Release Professional Desktop Graphics Card for 3D Modeling Graphic Laptop
Here’s a detailed comparison table between the Gigabyte W7800 AI TOP 48G and W7800 AI TOP 32G workstation GPUs, formatted for clarity and technical accuracy:
Gigabyte Radeon Pro W7800 AI TOP Series Comparison
| Feature | W7800 AI TOP 48G | W7800 AI TOP 32G | Difference |
|---|---|---|---|
| GPU Architecture | AMD RDNA 3 (Navi 31) | AMD RDNA 3 (Navi 31) | Same architecture |
| Compute Units | 70 CU (4480 Stream Processors) | 70 CU (4480 Stream Processors) | Identical core config |
| Boost Clock | Up to 2.5 GHz | Up to 2.5 GHz | Same clock speeds |
| VRAM Capacity | 48GB GDDR6 ECC | 32GB GDDR6 ECC | 48G: +16GB for large datasets |
| Memory Bus Width | 384-bit | 256-bit | 48G: Wider bus (50% more BW) |
| Memory Bandwidth | 864 GB/s | 576 GB/s | 48G: +288 GB/s (50% faster) |
| FP32 Performance | ~46 TFLOPS | ~46 TFLOPS | Same compute power |
| FP64 Performance | ~2.9 TFLOPS | ~2.9 TFLOPS | Identical for scientific workloads |
| Display Outputs | 6x DisplayPort 2.1 (8K/60Hz) | 6x DisplayPort 2.1 (8K/60Hz) | Same display support |
| PCIe Interface | PCIe 4.0 x16 | PCIe 4.0 x16 | Identical |
| Cooling Solution | Triple-fan “TOP” cooling | Triple-fan “TOP” cooling | Same thermal design |
| TDP (Power Draw) | 295W | 295W | Identical power requirements |
| Recommended Use Cases | • Large-scale AI training • 8K video editing • CFD/FEA simulations |
• Mid-range AI workloads • 4K/8K content creation • 3D rendering |
48G: Better for extreme workloads |
The Gigabyte W7800 AI TOP series represents the pinnacle of AMD’s workstation GPU technology, combining RDNA 3 architecture with AI-optimized performance for professional workloads. Available in 48GB and 32GB ECC memory variants, these GPUs are engineered for AI acceleration, 3D rendering, scientific computing, and 8K video production. With Gigabyte’s premium “TOP” cooling solution, they deliver sustained performance in demanding environments.
Gigabyte W7800 AI TOP 48G – The Ultimate AI & Rendering Powerhouse
Key Features
-
48GB GDDR6 ECC Memory – Massive VRAM for handling billion-parameter AI models, ultra-high-res textures, and complex simulations.
-
384-bit Memory Bus – Delivers 864 GB/s bandwidth, 50% faster than the 32G model for data-intensive tasks.
-
70 Compute Units (4480 Stream Processors) – Optimized for FP32/FP64 precision in scientific and AI workloads.
-
Triple-Fan “TOP” Cooling – Maintains peak performance during prolonged renders or AI training sessions.
-
6x DisplayPort 2.1 – Supports 8K/60Hz or 4x 4K/120Hz displays for multitasking.
Performance Highlights
✅ AI/Deep Learning – ROCm support for PyTorch, TensorFlow, and LLM training.
✅ 3D Rendering – 50% faster than the 32G model in Blender, Maya, and Unreal Engine with heavy assets.
✅ 8K Video Editing – Real-time playback in DaVinci Resolve & Premiere Pro with AV1 encode/decode.
✅ Scientific Computing – ECC memory ensures accuracy in CFD, FEA, and molecular modeling.
Ideal For:
-
AI research labs training large models
-
VFX studios rendering 8K+ assets
-
Engineering firms running complex simulations
Gigabyte W7800 AI TOP 32G – Balanced Performance for Pro Workflows
Key Features
-
32GB GDDR6 ECC Memory – Still ample for most AI, rendering, and 4K/8K video workflows.
-
256-bit Memory Bus – 576 GB/s bandwidth, efficient for mid-range workloads.
-
Same 70 CU (4480 SP) Design – Matches the 48G model’s raw compute power (46 TFLOPS FP32).
-
Identical Cooling & Ports – Triple-fan cooling and 6x DisplayPort 2.1.
Performance Highlights
✅ Cost-Effective AI – Handles Stable Diffusion, Mid-scale LLMs efficiently.
✅ 3D Content Creation – Smooth performance in Cinema 4D, SolidWorks, and Revit.
✅ Multi-Display Workstations – Drives 4x 4K or 1x 8K display setups.
Ideal For:
-
Mid-size animation studios
-
Architectural visualization
-
Data scientists working with “smaller” AI models (<20B parameters)
Comparison Summary
| Decision Factor | Choose 48G If… | Choose 32G If… |
|---|---|---|
| Workload Size | Working with >30B parameter AI models or 8K+ textures | Working with <20B models or 4K/8K media |
| Memory Bandwidth | Need 864 GB/s for simulations/rendering | 576 GB/s is sufficient for most tasks |
| Budget | Priority is performance over cost | Seeking better value for mid-range nee |
Reviews
There are no reviews yet.