GPU Comparison
Select up to 2 GPUs to analyze their pricing, performance, and specifications side-by-side.
The Radeon PRO W6600 has more VRAM (8GB vs 4GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 75% higher (224 GB/s vs 128 GB/s), translating directly to faster inference throughput.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Comparable or lower specs
Radeon PRO W6400 vs Radeon PRO W6600: In-Depth Breakdown
VRAM: Radeon PRO W6400 vs Radeon PRO W6600
The Radeon PRO W6600 carries 8GB of VRAM versus 4GB on the Radeon PRO W6400. VRAM capacity is the primary constraint for running AI models without quantization — a 70B-parameter model in FP16 requires roughly 140GB, and even smaller models benefit from extra headroom. The 4GB advantage here means the Radeon PRO W6600 can run larger models natively and handle bigger batch sizes in production.
Inference Speed: Memory Bandwidth
Memory bandwidth determines how quickly data is fed to the compute units — it's the main bottleneck for autoregressive inference (token generation in LLMs). The Radeon PRO W6600 delivers 224 GB/s versus 128 GB/s on the Radeon PRO W6400, a 75% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Radeon PRO W6600 will produce tokens proportionally faster in bandwidth-bound workloads.
AI Training & Compute
For model training, scientific simulation, and rendering, FP32 throughput is the key metric. The Radeon PRO W6600 delivers 10.4 TFLOPS against 3.6 TFLOPS for the Radeon PRO W6400 — a 189% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Radeon PRO W6600.
Which should you buy: Radeon PRO W6400 or Radeon PRO W6600?
The Radeon PRO W6600 is the stronger choice for large-model workloads where VRAM is the bottleneck. The Radeon PRO W6400 is more economical, and sufficient if your models fit within its 4GB.
Frequently Asked Questions
Can the Radeon PRO W6400 or Radeon PRO W6600 run large language models?
Which is faster for LLM inference, the Radeon PRO W6400 or the Radeon PRO W6600?
Which is better for AI training?
Technical Specifications Comparison
Architecture & Cores
| Specification | Radeon PRO W6400 | Radeon PRO W6600 |
|---|---|---|
| Architecture | RDNA 2 | RDNA 2 |
| CUDA Cores (Stream Processors / Stream Processors) | 768 | 2,048✓ |
Memory
| Specification | Radeon PRO W6400 | Radeon PRO W6600 |
|---|---|---|
| VRAM Capacity | 4 GB | 8 GB✓ |
| Memory Type | GDDR6 | GDDR6 |
| Memory Bus | 64-bit | 128-bit✓ |
| Bandwidth | 128 GB/s | 224 GB/s✓ |
Connectivity & Power
| Specification | Radeon PRO W6400 | Radeon PRO W6600 |
|---|---|---|
| Interface | PCIe 4.0 x4 | PCIe 4.0 x8 |
| TDP | 50 W✓ | 100 W |
| Released | Mar 2022 | Jun 2021 |
Workstation
| Specification | Radeon PRO W6400 | Radeon PRO W6600 |
|---|---|---|
| FP32 (TFLOPS) | 3.6 TFLOPS | 10.4 TFLOPS✓ |
| ECC | Yes | Yes |
| NVLink | No | No |
| Form factor | low-profile | dual-slot |