Specifications Compared
| Spec | B200 | MI325X |
|---|---|---|
| TDP | 1000W | 750W |
| VRAM | 192 GB | 256 GB |
| CUDA Cores | 18,432 | |
| Memory Type | HBM3e | HBM3e |
| Architecture | Blackwell | CDNA 3 |
| Form Factors | SXM, NVL | OAM |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | Infinity Fabric |
| Tensor Cores | 576 | |
| FP8 Performance | 9,000 TFLOPS | 2,614 TFLOPS |
| FP16 Performance | 4,500 TFLOPS | 1,307 TFLOPS |
| FP32 Performance | 90 TFLOPS | 1307 TFLOPS |
| FP64 Performance | 45 TFLOPS | 40.9 TFLOPS |
| INT8 Performance | 9,000 TOPS | 2,614 TOPS |
| Memory Bandwidth | 8,000 GB/s | 6,000 GB/s |
Performance Analysis
NVIDIA B200 NVL excels in FP16 and FP8 performance, delivering 4500 TFLOPS and 9000 TFLOPS respectively, which accelerates AI training and inference workloads reliant on reduced precision formats. AMD MI325X matches 1307 TFLOPS in both FP16 and FP32, providing balanced throughput for tasks demanding full single-precision accuracy, unlike B200's limited 90 TFLOPS FP32. This FP16 to FP32 delta means B200 suits large-scale model training where half-precision dominates, while MI325X handles scientific simulations or legacy codes better.
Memory bandwidth impacts real-world efficiency: B200's 8000 GB/s supports larger batch sizes and faster iterations in memory-bound scenarios compared to MI325X's 6000 GB/s. However, MI325X's 256 GB VRAM capacity accommodates bigger models without multi-GPU sharding, potentially reducing complexity versus B200's 192 GB. Lower 750W TDP on MI325X aids dense deployments, contrasting B200's 1000W draw.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B200 NVL
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Nebius | NVIDIA B200 SXM 192GB VRAM | 192GB | 20 vCPU 224GB RAM | 🌍Europe | $3.95/GPU/hr | |||
 Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $4.79/GPU/hr $38.32/hr total (8×) | |||
Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $5.39/GPU/hr $43.12/hr total (8×) | |||
Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $5.69/GPU/hr $45.52/hr total (8×) | |||
 RunPod | NVIDIA B200 SXM 192GB VRAM | 192GB | 28 vCPU 283GB RAM | California | $5.89/GPU/hr |
When to Choose the B200 NVL
Opt for NVIDIA B200 NVL in high-throughput AI inference and training scenarios. Its 9000 TFLOPS FP8 performance doubles MI325X's 2614 TFLOPS, enabling lower latency for serving large language models. The 8000 GB/s bandwidth further boosts batch processing efficiency over 6000 GB/s.
When to Choose the MI325X
Select AMD Instinct MI325X for memory-intensive tasks requiring 256 GB HBM3e, exceeding B200 NVL's 192 GB. Balanced 1307 TFLOPS FP16 and FP32 performance suits fine-tuning or scientific computing where precision matters more than peak half-precision speed. The 750W TDP facilitates power-constrained environments versus 1000W.
Use Cases
B200 NVL's 4500 TFLOPS FP16 significantly exceeds MI325X's 1307 TFLOPS, accelerating large model training. Higher 8000 GB/s bandwidth supports efficient scaling.
B200 NVL delivers 9000 TFLOPS FP8 versus MI325X's 2614 TFLOPS for faster serving. Bandwidth advantage of 8000 GB/s over 6000 GB/s handles larger batches.
MI325X's 1307 TFLOPS FP32 matches its FP16, suiting precision needs better than B200 NVL's 90 TFLOPS FP32. 256 GB VRAM fits larger models directly.
B200 NVL's 4500 TFLOPS FP16 and 8000 GB/s bandwidth speed up image generation over MI325X's 1307 TFLOPS and 6000 GB/s.
MI325X provides 1307 TFLOPS FP32 for accurate simulations, outperforming B200 NVL's 90 TFLOPS FP32. Lower 750W TDP aids sustained runs.
Frequently Asked Questions
Which GPU has more VRAM?▾
AMD Instinct MI325X offers 256 GB HBM3e, surpassing NVIDIA B200 NVL's 192 GB. This capacity benefits hosting massive models without distribution. B200 compensates with 8000 GB/s bandwidth versus 6000 GB/s.
What is the FP16 performance comparison?▾
NVIDIA B200 NVL achieves 4500 TFLOPS FP16, over three times AMD MI325X's 1307 TFLOPS. This gap favors B200 for AI training. MI325X balances with equal FP32 performance.
How do memory bandwidths differ?▾
B200 NVL provides 8000 GB/s, exceeding MI325X's 6000 GB/s. Higher bandwidth enables larger batches in training. It offsets MI325X's VRAM advantage in data movement.
What are the power requirements?▾
NVIDIA B200 NVL draws 1000W TDP, higher than MI325X's 750W. Lower power on MI325X suits dense racks. B200 justifies draw with superior compute.
Is cloud pricing available for both?▾
NVIDIA B200 NVL starts at $10.50 per hour across one offer. AMD MI325X has no live cloud offers currently. Pricing may evolve with availability.
Which excels in FP8 inference?▾
B200 NVL leads with 9000 TFLOPS FP8 versus MI325X's 2614 TFLOPS. This supports efficient LLM serving. Bandwidth aids real-time performance.
Which is cheaper to rent, the B200 or the MI325X?▾
Cloud rental prices for both the B200 and MI325X vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the B200 have compared to the MI325X?▾
The B200 has 192 GB of HBM3e memory. The MI325X has 256 GB of HBM3e memory.
Can I find B200 and MI325X GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the B200 and the MI325X?▾
The B200 uses the Blackwell architecture (2024) while the MI325X uses CDNA 3 (2024). The B200 delivers 3.4x the FP16 throughput and 1.3x the memory bandwidth of the MI325X.