B200 vs RTX 5880 Ada

BlackwellvsAda LovelaceUpdated 36 days ago

The B200 emerges as the clear winner for most AI and compute workloads due to its 4500 TFLOPS FP16, 192 GB VRAM, and 8000 GB/s bandwidth, which enable unprecedented scale in LLM training and inference. The RTX 5880 Ada's 69.7 TFLOPS and 48 GB suffice only for lighter workstation duties.

B200 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 vastly outpaces the RTX 5880 Ada in compute throughput: its 4500 TFLOPS FP16 performance dwarfs the latter's 69.7 TFLOPS, enabling training of models with billions of parameters in fractions of the time. This FP16 delta translates to accelerated deep learning training, where matrix multiplications dominate. The B200's FP32 at 90 TFLOPS slightly exceeds the RTX 5880 Ada's 69.7 TFLOPS, benefiting simulation and rendering tasks requiring single-precision floats.

Memory specifications define workload feasibility: the B200's 192 GB HBM3e versus 48 GB GDDR6 allows batch sizes up to four times larger, reducing overhead in LLM training and inference. Coupled with 8000 GB/s bandwidth against 960 GB/s, the B200 minimizes data starvation, sustaining peak FP16/FP8 rates of 9000 TFLOPS during memory-bound operations like transformer inference.

Power efficiency reveals trade-offs. The B200's 1000W TDP supports its performance but demands robust cooling and infrastructure, while the RTX 5880 Ada's 285W suits desktops. In real-world terms, the B200 processes inference requests 60 times faster per GPU, ideal for hyperscale deployments.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

B200

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

Select the B200 for large-scale AI training and inference where model sizes exceed 48 GB VRAM. Its 192 GB capacity and 8000 GB/s bandwidth handle trillion-parameter LLMs, enabling batch sizes that maximize 4500 TFLOPS FP16 utilization. Datacenter users benefit from NVLink interconnects and cloud pricing from $1.71 per hour.

High-throughput scientific computing or multi-GPU clusters favor the B200's SXM form factor and 9000 TFLOPS FP8 for quantized workloads.

When to Choose the RTX 5880 Ada

The RTX 5880 Ada suits single-workstation setups for fine-tuning smaller models or creative workflows within 48 GB VRAM limits. Its 285W TDP and PCIe form factor integrate easily into desktops without datacenter power needs, delivering 69.7 TFLOPS FP16/FP32 for tasks like Stable Diffusion generation.

Budget-conscious users or those without cloud access prefer it for on-premises professional visualization, avoiding the B200's $4.61 per hour average cost.

Use Cases

LLM Training
B200

The B200's 192 GB HBM3e VRAM and 4500 TFLOPS FP16 support massive models and large batches unattainable with the RTX 5880 Ada's 48 GB GDDR6.

LLM Inference
B200

9000 TFLOPS FP8 and 8000 GB/s bandwidth on the B200 deliver hyperscale throughput, far exceeding the RTX 5880 Ada's 69.7 TFLOPS.

Fine-tuning
B200

B200 handles parameter-efficient fine-tuning on large models via 192 GB VRAM, while RTX 5880 Ada's 48 GB limits scope.

Stable Diffusion
RTX 5880 Ada

RTX 5880 Ada's 69.7 TFLOPS FP16 and 285W TDP suffice for image generation on workstations; B200's power is excessive.

Scientific Computing
B200

B200's 90 TFLOPS FP32 and NVLink excel in simulations requiring high memory bandwidth of 8000 GB/s.

Frequently Asked Questions

What is the VRAM difference between B200 and RTX 5880 Ada?

The B200 provides 192 GB HBM3e VRAM, while the RTX 5880 Ada offers 48 GB GDDR6. This fourfold gap allows the B200 to manage much larger models.

How do their FP16 performances compare?

B200 achieves 4500 TFLOPS FP16 versus RTX 5880 Ada's 69.7 TFLOPS. The B200 is over 64 times faster for tensor-heavy AI tasks.

What are the power requirements?

B200 has a 1000W TDP suited for datacenters, compared to RTX 5880 Ada's 285W for workstations. Lower TDP eases desktop integration.

Is the RTX 5880 Ada available on cloud platforms?

No live cloud offers exist for RTX 5880 Ada. B200 starts at $1.71 per hour averaging $4.61 across 16 providers.

Which has higher memory bandwidth?

B200 delivers 8000 GB/s, over eight times the RTX 5880 Ada's 960 GB/s. This sustains peak compute in memory-intensive workloads.

What architectures do they use?

B200 employs Blackwell from 2024; RTX 5880 Ada uses Ada Lovelace from 2024. Blackwell advances enable superior AI scaling.

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