Specifications Compared
| Spec | B200 | MI355X |
|---|---|---|
| TDP | 1000W | 750W |
| VRAM | 192 GB | 288 GB |
| CUDA Cores | 18,432 | |
| Memory Type | HBM3e | HBM3e |
| Architecture | Blackwell | CDNA 4 |
| Form Factors | SXM, NVL | OAM |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | Infinity Fabric |
| Tensor Cores | 576 | |
| FP8 Performance | 9,000 TFLOPS | 4,600 TFLOPS |
| FP16 Performance | 4,500 TFLOPS | 2,300 TFLOPS |
| FP32 Performance | 90 TFLOPS | 2300 TFLOPS |
| FP64 Performance | 45 TFLOPS | 72 TFLOPS |
| INT8 Performance | 9,000 TOPS | 4,600 TOPS |
| Memory Bandwidth | 8,000 GB/s | 8,000 GB/s |
Performance Analysis
Peak FP16 performance stands at 4500 TFLOPS on the B200, nearly double the MI355X's 2300 TFLOPS, benefiting mixed-precision training where FP16 dominates computations. The B200's FP32 rate of 90 TFLOPS lags far behind the MI355X's 2300 TFLOPS, making the latter preferable for FP32-heavy scientific simulations or legacy code requiring higher precision. FP8 throughput reaches 9000 TFLOPS on the B200 versus 4600 TFLOPS on the MI355X, accelerating inference on quantized models.
Identical 8000 GB/s memory bandwidth supports similar large batch sizes, but the MI355X's 288 GB VRAM versus 192 GB on the B200 allows handling larger models without partitioning, reducing communication overhead in multi-GPU setups. The B200's 1000W TDP demands robust cooling, while the MI355X's 750W enables denser deployments. Interconnect options like NVLink on the B200 enhance multi-node scaling over Infinity Fabric.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B200
| 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
The B200 suits deployments prioritizing low-precision AI workloads. Its 9000 TFLOPS FP8 and 4500 TFLOPS FP16 performance accelerate LLM inference and training with quantization, where speed trumps precision. Current cloud availability from $1.71 per hour across 16 offers provides immediate access, unlike the MI355X with no live pricing.
When to Choose the MI355X
The MI355X fits scenarios demanding higher VRAM or balanced precision. With 288 GB HBM3e, it manages massive models natively, avoiding model parallelism complexities of the B200's 192 GB. Its 2300 TFLOPS FP32 matches FP16, aiding HPC tasks, and 750W TDP supports power-efficient clusters.
Use Cases
The B200's 4500 TFLOPS FP16 significantly outpaces the MI355X's 2300 TFLOPS, speeding up mixed-precision training loops. Availability across 16 cloud offers enables quick scaling.
9000 TFLOPS FP8 on the B200 doubles the MI355X's 4600 TFLOPS, ideal for serving quantized models at high throughput. Lower starting price of $1.71 per hour reduces costs.
Both offer 8000 GB/s bandwidth for large batches, with B200's FP16 edge for speed and MI355X's 288 GB VRAM for bigger datasets. Choice depends on precision needs.
MI355X's 288 GB VRAM handles high-resolution generations without swapping, exceeding B200's 192 GB. Balanced 2300 TFLOPS FP16/FP32 supports diverse diffusion pipelines.
2300 TFLOPS FP32 on the MI355X vastly surpasses B200's 90 TFLOPS, crucial for simulations requiring full precision. Lower 750W TDP aids sustained runs.
Frequently Asked Questions
Which GPU has more VRAM?▾
The MI355X provides 288 GB HBM3e, exceeding the B200's 192 GB. This advantage supports larger models without sharding. Both share 8000 GB/s bandwidth.
What is the FP16 performance comparison?▾
B200 achieves 4500 TFLOPS FP16, nearly twice the MI355X's 2300 TFLOPS. This gap favors B200 in AI training. FP8 follows suit at 9000 versus 4600 TFLOPS.
How do power consumptions differ?▾
B200 requires 1000W TDP, higher than MI355X's 750W. Lower TDP on MI355X enables denser racks. Cooling needs scale accordingly.
Is the MI355X available in the cloud?▾
No live offers exist for MI355X currently. B200 starts at $1.71 per hour across 16 providers, averaging $4.61 per hour. Availability drives short-term decisions.
Which has better interconnects for scaling?▾
B200 supports NVLink, PCIe 6.0, and InfiniBand for multi-GPU clusters. MI355X relies on Infinity Fabric. NVLink excels in NVIDIA ecosystems.
What architectures power these GPUs?▾
B200 uses Blackwell from 2024; MI355X employs CDNA 4 from 2025. Both target AI with HBM3e memory. Release timing affects maturity.
Which is cheaper to rent, the B200 or the MI355X?▾
Cloud rental prices for both the B200 and MI355X 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 MI355X?▾
The B200 has 192 GB of HBM3e memory. The MI355X has 288 GB of HBM3e memory.
Can I find B200 and MI355X 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 MI355X?▾
The B200 uses the Blackwell architecture (2024) while the MI355X uses CDNA 4 (2025). The B200 delivers 2.0x the FP16 throughput and 1.0x the memory bandwidth of the MI355X.