B200 SXM vs RTX 5880 Ada

BlackwellvsAda LovelaceUpdated 35 days ago

The NVIDIA B200 SXM emerges as the clear winner for prevalent AI/ML use cases such as LLM training and inference. Its 4500 TFLOPS FP16, 192 GB VRAM, and 8000 GB/s bandwidth deliver orders-of-magnitude gains over RTX 5880 Ada's 69.7 TFLOPS and 48 GB, justifying $1.71+ per hour cloud pricing for production-scale performance.

B200 SXM from $3.95/hr

Specifications Compared

SpecB200RTX-5880-ADA
TDP1000W285W
VRAM192 GB48 GB
CUDA Cores18,43214,080
Memory TypeHBM3eGDDR6
ArchitectureBlackwellAda Lovelace
Form FactorsSXM, NVLPCIe
InterconnectNVLink, PCIe 6.0, InfiniBand
Tensor Cores576440
FP8 Performance9,000 TFLOPS
FP16 Performance4,500 TFLOPS69.7 TFLOPS
FP32 Performance90 TFLOPS69.7 TFLOPS
FP64 Performance45 TFLOPS
INT8 Performance9,000 TOPS1,115 TOPS
Memory Bandwidth8,000 GB/s960 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

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Nebius
Nebius
NVIDIA B200 SXM
192GB VRAM
$3.95/GPU/hr
Cirrascale
Cirrascale
8×NVIDIA B200 SXM
192GB VRAM
$4.79/GPU/hr
$38.32/hr total (8×)
Cirrascale
Cirrascale
8×NVIDIA B200 SXM
192GB VRAM
$5.39/GPU/hr
$43.12/hr total (8×)
Cirrascale
Cirrascale
8×NVIDIA B200 SXM
192GB VRAM
$5.69/GPU/hr
$45.52/hr total (8×)
RunPod
RunPod
NVIDIA B200 SXM
192GB VRAM
$5.89/GPU/hr

Compare real-time pricing across 25+ providers

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

LLM Training
B200 SXM

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.

LLM Inference
B200 SXM

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.

Fine-tuning
Either

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.

Stable Diffusion
RTX 5880 Ada

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.

Scientific Computing
B200 SXM

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.

B200 SXM vs RTX 5880 Ada: 64.6x FP16 Gap, 192GB vs 48GB | GPUPerHour