Quadro RTX 8000 vs Radeon PRO W5500
The Quadro RTX 8000 has more VRAM (48GB vs 8GB), making it better suited for large models and memory-intensive workloads. Its memory bandwidth is 179% higher (624 GB/s vs 224 GB/s), translating directly to faster inference throughput. The Radeon PRO W5500 is $37,922 SEK cheaper than the Quadro RTX 8000.
Maximum Capacity Reached. Remove a model to add another. (2/2)
Comparable or lower specs
Quadro RTX 8000 vs Radeon PRO W5500: In-Depth Breakdown
VRAM: Quadro RTX 8000 vs Radeon PRO W5500
The Quadro RTX 8000 carries 48GB of VRAM versus 8GB on the Radeon PRO W5500. 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 40GB advantage here means the Quadro RTX 8000 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 Quadro RTX 8000 delivers 624 GB/s versus 224 GB/s on the Radeon PRO W5500, a 179% edge. For models already loaded into VRAM, token generation speed scales closely with this number: the Quadro RTX 8000 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 Quadro RTX 8000 delivers 14.9 TFLOPS against 5 TFLOPS for the Radeon PRO W5500 — a 198% compute advantage. Training runs and heavy matrix operations will complete proportionally faster on the Quadro RTX 8000.
Price & Value
The Radeon PRO W5500 lists from $5,208 SEK, $37,922 SEK less than the Quadro RTX 8000 at $43,130 SEK. For budget-constrained teams, the savings may outweigh the spec gap — especially if the smaller card covers your typical workload.
Which should you buy: Quadro RTX 8000 or Radeon PRO W5500?
Choose the Quadro RTX 8000 for maximum capacity — it leads on VRAM, bandwidth, and compute, making it the better fit for large models and training jobs. The Radeon PRO W5500 is the more budget-friendly option ($37,922 SEK less) — a solid choice if your models fit within its 8GB and inference volume is moderate.
Frequently Asked Questions
Can the Quadro RTX 8000 or Radeon PRO W5500 run large language models?
Which is faster for LLM inference, the Quadro RTX 8000 or the Radeon PRO W5500?
Which is better for AI training?
Which should you buy: Quadro RTX 8000 or Radeon PRO W5500?
Technical Specifications Comparison
Architecture & Cores
| Specification | Quadro RTX 8000 | Radeon PRO W5500 |
|---|---|---|
| Architecture | Turing | RDNA 1 |
| CUDA Cores (CUDA Cores / Stream Processors) | 4,608✓ | 1,408 |
Memory
| Specification | Quadro RTX 8000 | Radeon PRO W5500 |
|---|---|---|
| VRAM Capacity | 48 GB✓ | 8 GB |
| Memory Type | GDDR6 | GDDR6 |
| Memory Bus | 384-bit✓ | 128-bit |
| Bandwidth | 624 GB/s✓ | 224 GB/s |
Connectivity & Power
| Specification | Quadro RTX 8000 | Radeon PRO W5500 |
|---|---|---|
| Interface | PCIe 3.0 x16 | PCIe 4.0 x8 |
| TDP | 295 W | 75 W✓ |
| Released | Oct 2018 | Nov 2019 |
Workstation
| Specification | Quadro RTX 8000 | Radeon PRO W5500 |
|---|---|---|
| FP32 (TFLOPS) | 14.9 TFLOPS✓ | 5 TFLOPS |
| ECC | Yes | Yes |
| NVLink | Yes✓ | No |
| Form factor | dual-slot | dual-slot |