Specifications Compared
| Spec | B200 | RTX-5880-ADA |
|---|---|---|
| TDP | 1000W | 285W |
| VRAM | 192 GB | 48 GB |
| CUDA Cores | 18,432 | 14,080 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell | Ada Lovelace |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | |
| Tensor Cores | 576 | 440 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 69.7 TFLOPS |
| FP32 Performance | 90 TFLOPS | 69.7 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | 1,115 TOPS |
| Memory Bandwidth | 8,000 GB/s | 960 GB/s |
Performance Analysis
The B200 SXM's 4500 TFLOPS FP16 performance towers over the RTX 5880 Ada's 69.7 TFLOPS, enabling faster AI model training where tensor operations dominate. Its FP32 rate of 90 TFLOPS edges out the RTX 5880 Ada's 69.7 TFLOPS, benefiting simulation tasks, while 9000 TFLOPS FP8 accelerates inference on quantized models. These disparities mean B200 handles large-scale training runs in minutes that would take hours on RTX 5880 Ada.
Memory specs define workload feasibility: 192 GB HBM3e VRAM and 8000 GB/s bandwidth on B200 SXM support enormous batch sizes for models exceeding 48 GB GDDR6 on RTX 5880 Ada with 960 GB/s. Larger batches reduce training time and improve utilization in datacenters. The 1000W TDP demands robust cooling, unlike the 285W RTX 5880 Ada suited for deskside use.
Interconnects enhance B200's multi-GPU scaling via NVLink and PCIe 6.0, absent on RTX 5880 Ada, making it ideal for distributed training clusters.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B200 SXM
| 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 SXM
Opt for the NVIDIA B200 SXM in large-scale AI training and inference where 192 GB HBM3e VRAM accommodates models like 1T+ parameter LLMs. Its 8000 GB/s bandwidth sustains high throughput for massive batches, and 4500 TFLOPS FP16 cuts training epochs significantly. Cloud availability from $1.71 per hour across 13 offers suits elastic datacenter deployments with NVLink clustering.
When to Choose the RTX 5880 Ada
Choose the NVIDIA RTX 5880 Ada for workstation-based development and prototyping with its 285W TDP fitting standard PCIe slots and office power. The 48 GB GDDR6 VRAM and 69.7 TFLOPS FP16 suffice for fine-tuning mid-sized models or Stable Diffusion tasks under 960 GB/s bandwidth. It avoids datacenter costs where single-GPU local workflows prevail.
Use Cases
B200 SXM's 192 GB HBM3e VRAM and 4500 TFLOPS FP16 support training trillion-parameter models infeasible on RTX 5880 Ada's 48 GB GDDR6.
9000 TFLOPS FP8 and 8000 GB/s bandwidth on B200 SXM enable high-throughput serving of large models; RTX 5880 Ada's 69.7 TFLOPS limits scale.
RTX 5880 Ada's 48 GB VRAM handles most fine-tuning tasks at 69.7 TFLOPS FP16; B200 SXM excels for datasets needing 192 GB.
RTX 5880 Ada's 48 GB GDDR6 and 69.7 TFLOPS FP16 suffice for image generation workflows; B200 SXM's 1000W TDP overkills single-user creative tasks.
B200 SXM's 90 TFLOPS FP32 and NVLink interconnect accelerate simulations across clusters; RTX 5880 Ada's PCIe limits multi-GPU scaling.
Frequently Asked Questions
Which GPU has more VRAM: NVIDIA B200 SXM or RTX 5880 Ada?▾
The B200 SXM provides 192 GB HBM3e VRAM, four times the RTX 5880 Ada's 48 GB GDDR6. This capacity allows B200 to load massive AI models without swapping. RTX 5880 Ada suits smaller datasets.
What is the FP16 performance difference between B200 SXM and RTX 5880 Ada?▾
B200 SXM delivers 4500 TFLOPS FP16 versus RTX 5880 Ada's 69.7 TFLOPS, a 64-fold advantage. This boosts AI training speed dramatically on B200. Inference also scales with FP8 at 9000 TFLOPS on B200.
How does memory bandwidth compare on these GPUs?▾
B200 SXM offers 8000 GB/s with HBM3e, over eight times RTX 5880 Ada's 960 GB/s GDDR6. Higher bandwidth supports larger batches in training. It reduces bottlenecks in memory-intensive tasks.
What are the power requirements for B200 SXM versus RTX 5880 Ada?▾
B200 SXM has a 1000W TDP, requiring datacenter power infrastructure, while RTX 5880 Ada uses 285W for workstation compatibility. Lower TDP makes RTX easier for local setups. B200 prioritizes peak performance.
Is NVIDIA B200 SXM available on cloud platforms?▾
Yes, B200 SXM clouds from $1.71 per hour, averaging $4.60 per hour across 13 offers. No live cloud offers exist for RTX 5880 Ada. This enables scalable B200 access without hardware purchase.
Which GPU supports better multi-GPU interconnects?▾
B200 SXM includes NVLink, PCIe 6.0, and InfiniBand for clustering, absent on PCIe-only RTX 5880 Ada. This enables efficient scaling to hundreds of GPUs. RTX suits single-card use.
Which is cheaper to rent, the B200 or the RTX 5880 Ada?▾
Cloud rental prices for both the B200 and RTX 5880 Ada 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 RTX 5880 Ada?▾
The B200 has 192 GB of HBM3e memory. The RTX 5880 Ada has 48 GB of GDDR6 memory.
Can I find B200 and RTX 5880 Ada 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 RTX 5880 Ada?▾
The B200 uses the Blackwell architecture (2024) while the RTX 5880 Ada uses Ada Lovelace (2024). The B200 delivers 64.6x the FP16 throughput and 8.3x the memory bandwidth of the RTX 5880 Ada.
