A100 PCIe 80GB vs B200 NVL

AmperevsBlackwellUpdated 35 days ago

The NVIDIA B200 NVL wins for the most common AI training and inference use cases. Its 4500 TFLOPS FP16 and 192 GB VRAM deliver over 14 times the compute and 2.4 times the memory of the A100, enabling larger models and faster results despite higher $10.50 per hour cost.

A100 PCIe 80GB from $0.73/hrB200 NVL from $3.95/hr

Specifications Compared

SpecA100B200
TDP400W1000W
VRAM40-80 GB192 GB
CUDA Cores6,91218,432
Memory TypeHBM2eHBM3e
ArchitectureAmpereBlackwell
Form FactorsSXM4, PCIeSXM, NVL
InterconnectNVLink, PCIe 4.0, InfiniBandNVLink, PCIe 6.0, InfiniBand
Tensor Cores432576
FP16 Performance312 TFLOPS4,500 TFLOPS
FP32 Performance19.5 TFLOPS90 TFLOPS
FP64 Performance9.7 TFLOPS45 TFLOPS
INT8 Performance624 TOPS9,000 TOPS
Memory Bandwidth2,039 GB/s8,000 GB/s

Performance Analysis

The B200 vastly outperforms the A100 in compute capabilities. Its 4500 TFLOPS FP16 rate dwarfs the A100's 312 TFLOPS, enabling up to 14 times faster matrix operations critical for deep learning training. FP32 performance of 90 TFLOPS on the B200 versus 19.5 TFLOPS on the A100 accelerates simulations and precise computations by over 4.6 times.

Memory bandwidth defines large-scale efficiency: the B200's 8000 GB/s supports batch sizes far beyond the A100's 2039 GB/s limit, reducing data loading bottlenecks in training massive LLMs. For inference, the B200's 9000 TFLOPS FP8 capability optimizes low-precision deployments, slashing latency for real-time serving.

Power demands reflect this: the B200's 1000W TDP versus the A100's 400W requires robust cooling, but yields superior throughput per watt in high-end clusters.

Live Cloud Pricing

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

A100 PCIe 80GB

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
NVIDIA A100 SXM4 80GB
80GB VRAM
$0.73/GPU/hr
Available
Vast.ai
Vast.ai
2×NVIDIA A100 SXM4 80GB
80GB VRAM
$0.73/GPU/hr
$1.47/hr total (2×)
Available
LeaderGPU
LeaderGPU
8×NVIDIA A100 PCIe 80GB
80GB VRAM
$0.90/GPU/hr
$7.20/hr total (8×)
Available
Vast.ai
Vast.ai
NVIDIA A100 SXM4 80GB
80GB VRAM
$1.07/GPU/hr
Available
Denvr
Denvr
8×NVIDIA A100 SXM4 80GB
80GB VRAM
$1.15/GPU/hr
$9.20/hr total (8×)

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

Compare real-time pricing across 25+ providers

When to Choose the A100 PCIe 80GB

The A100 PCIe 80GB excels in cost-sensitive environments. At $0.89 per hour starting price and 30 live cloud offers, it provides broad availability compared to the B200's single $10.50 per hour option. Its 400W TDP suits power-constrained data centers or edge deployments.

Legacy workflows optimized for Ampere architecture benefit from the A100's mature software ecosystem. Tasks with 80 GB VRAM suffice here, avoiding the B200's premium for unused capacity.

When to Choose the B200 NVL

The B200 NVL dominates workloads needing extreme scale. Its 192 GB HBM3e VRAM handles models exceeding 80 GB, while 8000 GB/s bandwidth enables massive batch sizes in LLM training.

Cutting-edge applications leverage the Blackwell architecture's 4500 TFLOPS FP16 and 9000 TFLOPS FP8 for rapid iteration and inference, justifying $10.50 per hour in performance-critical production.

Use Cases

LLM Training
B200 NVL

The B200's 4500 TFLOPS FP16 and 192 GB VRAM support training billion-parameter models at scales impossible on the A100's 312 TFLOPS and 80 GB. Bandwidth of 8000 GB/s prevents bottlenecks with large batches.

LLM Inference
B200 NVL

B200's 9000 TFLOPS FP8 optimizes low-latency serving for massive LLMs. It handles higher concurrency than the A100 due to 192 GB VRAM and superior bandwidth.

Fine-tuning
Either

A100's 80 GB VRAM and $0.89 per hour pricing fit smaller fine-tuning jobs efficiently. B200 accelerates larger datasets but at higher cost.

Stable Diffusion
B200 NVL

B200's 4500 TFLOPS FP16 generates images 14 times faster than A100's 312 TFLOPS. Extra VRAM supports high-resolution batches.

Scientific Computing
B200 NVL

B200's 90 TFLOPS FP32 outperforms A100's 19.5 TFLOPS for simulations. PCIe 6.0 interconnect aids multi-node scaling.

Frequently Asked Questions

Which GPU has more VRAM?

The B200 NVL offers 192 GB HBM3e VRAM. The A100 PCIe 80GB provides 80 GB HBM2e. This makes the B200 suitable for larger models.

What is the performance difference in FP16?

B200 achieves 4500 TFLOPS in FP16. A100 delivers 312 TFLOPS. The gap enables 14 times faster AI training on B200.

How do prices compare?

A100 PCIe 80GB starts at $0.89 per hour, averaging $2.03 across 30 offers. B200 NVL is $10.50 per hour across 1 offer. A100 wins on affordability.

Which has higher memory bandwidth?

B200 provides 8000 GB/s bandwidth. A100 offers 2039 GB/s. Higher bandwidth on B200 supports bigger batches.

What are the TDPs?

A100 has a 400W TDP. B200 requires 1000W. B200 demands more power infrastructure.

Which architecture is newer?

B200 uses Blackwell from 2024. A100 is Ampere from 2020. Blackwell brings FP8 support at 9000 TFLOPS.

Which is cheaper to rent, the A100 or the B200?

Cloud rental prices for both the A100 and B200 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 A100 have compared to the B200?

The A100 has 40 to 80 GB of HBM2e memory. The B200 has 192 GB of HBM3e memory.

Can I find A100 and B200 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 A100 and the B200?

The A100 uses the Ampere architecture (2020) while the B200 uses Blackwell (2024). The B200 delivers 14.4x the FP16 throughput and 3.9x the memory bandwidth of the A100.

A100 PCIe 80GB vs B200 NVL: 80GB vs 192GB | GPUPerHour