B200 NVL vs GTX 1080 Ti

BlackwellvsPascalUpdated 35 days ago

The B200 NVL emerges as the clear winner for prevalent AI and compute workloads. Its 4500 TFLOPS FP16, 192 GB VRAM, and 8000 GB/s bandwidth deliver unmatched performance, rendering the GTX 1080 Ti obsolete despite 17x lower cost at $0.60 per hour.

B200 NVL from $3.95/hrGTX 1080 Ti from $0.30/hr

Specifications Compared

SpecB200GTX-1080
TDP1000W180W
VRAM192 GB8-11 GB
CUDA Cores18,4322,560
Memory TypeHBM3eGDDR5X
ArchitectureBlackwellPascal
Form FactorsSXM, NVLPCIe
InterconnectNVLink, PCIe 6.0, InfiniBand
Tensor Cores576
FP8 Performance9,000 TFLOPS
FP16 Performance4,500 TFLOPS8.9 TFLOPS
FP32 Performance90 TFLOPS8.9 TFLOPS
FP64 Performance45 TFLOPS
INT8 Performance9,000 TOPS
Memory Bandwidth8,000 GB/s320 GB/s

Performance Analysis

Memory capacity defines key limitations: the B200 NVL's 192 GB HBM3e enables handling models exceeding 100 billion parameters, while the GTX 1080 Ti's 8 to 11 GB GDDR5X restricts it to smaller datasets or low-resolution inference. Bandwidth amplifies this: 8000 GB/s on the B200 NVL sustains large batch sizes in training, reducing epochs by orders of magnitude, whereas 320 GB/s on the GTX 1080 Ti causes bottlenecks in data-intensive workloads.

Compute disparities favor the B200 NVL profoundly for AI: its 4500 TFLOPS FP16 performance accelerates training and inference over 500 times faster than the GTX 1080 Ti's 8.9 TFLOPS. The FP32 rating of 90 TFLOPS versus 8.9 TFLOPS benefits simulations requiring precision. FP8 at 9000 TFLOPS on B200 NVL optimizes low-precision inference, unavailable on Pascal, enabling real-world throughput gains in LLMs and diffusion models.

Live Cloud Pricing

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

B200 NVL

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

GTX 1080 Ti

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
LeaderGPU
LeaderGPU
4×NVIDIA GeForce GTX 1080
8GB VRAM
$0.30/GPU/hr
$1.20/hr total (4×)
Available
LeaderGPU
LeaderGPU
8×NVIDIA GeForce GTX 1080 Ti
11GB VRAM
$0.60/GPU/hr
$4.80/hr total (8×)
Available

Compare real-time pricing across 25+ providers

When to Choose the B200 NVL

Choose the B200 NVL for large-scale AI training or inference: its 192 GB VRAM and 4500 TFLOPS FP16 handle models like GPT-scale LLMs that exceed the GTX 1080 Ti's 11 GB limit. At $10.50 per hour, it justifies cost through 8000 GB/s bandwidth supporting massive batches and NVLink for multi-GPU clusters in data centers.

When to Choose the GTX 1080 Ti

Select the GTX 1080 Ti for cost-sensitive, lightweight tasks: $0.60 per hour pricing suits prototyping or gaming where 8.9 TFLOPS FP32 suffices and 180W TDP fits edge deployments. It excels in scenarios avoiding the B200 NVL's 1000W power demands, such as small-scale rendering or legacy software compatibility.

Use Cases

LLM Training
B200 NVL

B200 NVL's 4500 TFLOPS FP16 and 192 GB VRAM enable training massive models, far beyond GTX 1080 Ti's 8.9 TFLOPS and 11 GB limit.

LLM Inference
B200 NVL

9000 TFLOPS FP8 and 8000 GB/s bandwidth on B200 NVL support high-throughput serving; GTX 1080 Ti bottlenecks at 320 GB/s.

Fine-tuning
B200 NVL

192 GB HBM3e handles large parameter sets during fine-tuning, unlike GTX 1080 Ti's 8-11 GB GDDR5X.

Stable Diffusion
Either

GTX 1080 Ti runs basic Stable Diffusion at 8.9 TFLOPS for $0.60/hr; B200 NVL accelerates high-res batches with 4500 TFLOPS.

Scientific Computing
B200 NVL

90 TFLOPS FP32 and NVLink on B200 NVL scale simulations; GTX 1080 Ti's 8.9 TFLOPS limits complex computations.

Frequently Asked Questions

What is the VRAM difference between B200 NVL and GTX 1080 Ti?

B200 NVL offers 192 GB HBM3e, enabling large models. GTX 1080 Ti provides 8 to 11 GB GDDR5X, suitable only for smaller workloads.

How do FP16 performances compare?

B200 NVL delivers 4500 TFLOPS FP16 for rapid AI training. GTX 1080 Ti achieves 8.9 TFLOPS, over 500 times slower.

What are the cloud rental prices?

B200 NVL starts at $10.50 per hour across 1 offer. GTX 1080 Ti is $0.60 per hour across 1 offer.

Which has higher memory bandwidth?

B200 NVL reaches 8000 GB/s, supporting large batches. GTX 1080 Ti is limited to 320 GB/s.

What architectures do they use?

B200 NVL uses Blackwell from 2024 with NVLink. GTX 1080 Ti uses Pascal from 2016 with PCIe.

Compare their TDPs.

B200 NVL requires 1000W for peak performance. GTX 1080 Ti uses 180W, ideal for low-power setups.

Which is cheaper to rent, the B200 or the GTX 1080?

Cloud rental prices for both the B200 and GTX 1080 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 GTX 1080?

The B200 has 192 GB of HBM3e memory. The GTX 1080 has 8 to 11 GB of GDDR5X memory.

Can I find B200 and GTX 1080 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 GTX 1080?

The B200 uses the Blackwell architecture (2024) while the GTX 1080 uses Pascal (2016). The B200 delivers 505.6x the FP16 throughput and 25.0x the memory bandwidth of the GTX 1080.

B200 NVL vs GTX 1080 Ti: 505.6x FP16 Gap, 192GB vs 11GB | GPUPerHour