Radeon PRO W6400 vs RTX A1000
With 8GB on board versus 4GB for the Radeon PRO W6400, the RTX A1000 carries more headroom for large models and memory-hungry workloads. Its memory bandwidth is 75% higher (224 GB/s vs 128 GB/s), translating directly to faster inference throughput. Price-wise, the Radeon PRO W6400 undercuts the RTX A1000 by $208 EUR.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Comparable or lower specs
Radeon PRO W6400 vs RTX A1000: In-Depth Breakdown
VRAM: Radeon PRO W6400 vs RTX A1000
With 8GB of VRAM against the Radeon PRO W6400's 4GB, the RTX A1000 has a 4GB edge. VRAM is what determines whether a model fits without quantization at all — a 70B-parameter model in FP16 needs around 140GB, and smaller models still benefit from spare capacity. That extra headroom lets the RTX A1000 load bigger models and run larger production batch sizes.
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 RTX A1000 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 RTX A1000 will produce tokens proportionally faster in bandwidth-bound workloads.
AI Training & Compute
FP32 throughput is the metric that matters most for training, scientific simulation, and rendering work. The RTX A1000 posts 6 TFLOPS versus 3.6 TFLOPS on the Radeon PRO W6400, a 67% compute lead. Expect training jobs and heavy matrix math to finish proportionally sooner on the RTX A1000.
Price & Value
The Radeon PRO W6400 lists from $252 EUR, $208 EUR less than the RTX A1000 at $460 EUR. For budget-constrained teams, the savings may outweigh the spec gap — especially if the smaller card covers your typical workload.
Which should you buy: Radeon PRO W6400 or RTX A1000?
Go with the RTX A1000 if you need maximum capacity: it's ahead on VRAM, bandwidth, and compute, so it's the stronger fit for large models and training jobs. The Radeon PRO W6400 is the cheaper pick ($208 EUR less) — worth it if your models already fit within its 4GB and you're not running heavy inference volume.
Frequently Asked Questions
Can the Radeon PRO W6400 or RTX A1000 run large language models?
Which is faster for LLM inference, the Radeon PRO W6400 or the RTX A1000?
Which is better for AI training?
Which should you buy: Radeon PRO W6400 or RTX A1000?
Technical Specifications Comparison
Architecture & Cores
| Specification | Radeon PRO W6400 | RTX A1000 |
|---|---|---|
| Architecture | RDNA 2 | Ada Lovelace |
| CUDA Cores (Stream Processors / CUDA Cores) | 768 | 1,280✓ |
Memory
| Specification | Radeon PRO W6400 | RTX A1000 |
|---|---|---|
| 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 | RTX A1000 |
|---|---|---|
| Interface | PCIe 4.0 x4 | PCIe 4.0 x16 |
| TDP | 50 W | 50 W |
| Released | Mar 2022 | Aug 2023 |
Workstation
| Specification | Radeon PRO W6400 | RTX A1000 |
|---|---|---|
| FP32 (TFLOPS) | 3.6 TFLOPS | 6 TFLOPS✓ |
| ECC | Yes | Yes |
| NVLink | No | No |
| Form factor | low-profile | low-profile |