Specifications Compared
| Spec | A100 | B200 |
|---|---|---|
| TDP | 400W | 1000W |
| VRAM | 40-80 GB | 192 GB |
| CUDA Cores | 6,912 | 18,432 |
| Memory Type | HBM2e | HBM3e |
| Architecture | Ampere | Blackwell |
| Form Factors | SXM4, PCIe | SXM, NVL |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | NVLink, PCIe 6.0, InfiniBand |
| Tensor Cores | 432 | 576 |
| FP16 Performance | 312 TFLOPS | 4,500 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 90 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 45 TFLOPS |
| INT8 Performance | 624 TOPS | 9,000 TOPS |
| Memory Bandwidth | 2,039 GB/s | 8,000 GB/s |
Performance Analysis
The B200 dominates in raw compute: its 4500 TFLOPS FP16 capability dwarfs the A100's 312 TFLOPS, translating to up to 14 times faster mixed-precision training for deep learning models. FP32 performance of 90 TFLOPS on B200 versus 19.5 TFLOPS on A100 benefits scientific simulations requiring single-precision accuracy. The FP8 support at 9000 TFLOPS on B200 further optimizes inference for quantized models, unavailable on A100.
Memory specs profoundly impact real-world usage: 192 GB HBM3e on B200 supports batch sizes for models exceeding 80 GB, while A100 limits scale. Bandwidth of 8000 GB/s versus 2039 GB/s reduces bottlenecks in data-heavy tasks like transformer training, allowing larger effective batch sizes and shorter epochs.
Power draw differs markedly: B200's 1000W TDP demands robust cooling versus A100's 400W, influencing cluster efficiency. Interconnects advance to PCIe 6.0 and enhanced NVLink on B200 from PCIe 4.0 on A100, improving multi-GPU scaling.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 80GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 794GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
 LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 557GB Storage | Czechia | $1.00/GPU/hr | Available | ||
 Denvr | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 1024GB RAM 15200GB Storage | Virginia | $1.15/GPU/hr $9.20/hr total (8×) |
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 A100 SXM4 80GB
The A100 SXM4 80GB suits budget-conscious deployments where workloads fit within 80 GB VRAM and 2039 GB/s bandwidth. It excels in established AI pipelines or scientific computing not demanding FP16 beyond 312 TFLOPS, with pricing from $0.13/hr across 33 offers providing accessibility. Lower 400W TDP eases integration into existing clusters.
Legacy software optimized for Ampere or intermittent usage favors A100, avoiding B200's higher $1.71/hr entry cost.
When to Choose the B200 SXM
The B200 SXM targets frontier AI research needing 192 GB VRAM for massive models and 8000 GB/s bandwidth for high-throughput data flows. Its 4500 TFLOPS FP16 and 9000 TFLOPS FP8 accelerate training and inference cycles dramatically over A100's 312 TFLOPS.
High-scale production inference or multi-GPU clusters leverage PCIe 6.0 and NVLink, justifying $1.71/hr pricing for performance gains.
Use Cases
B200's 4500 TFLOPS FP16 and 192 GB VRAM handle massive parameter counts and large batches far beyond A100's 312 TFLOPS and 80 GB limits.
9000 TFLOPS FP8 on B200 optimizes quantized serving at scale; 8000 GB/s bandwidth supports high query throughput unlike A100's 2039 GB/s.
A100 suffices for models under 80 GB at $0.13/hr; B200 accelerates larger ones with 4500 TFLOPS FP16.
B200's 192 GB VRAM and 8000 GB/s bandwidth enable high-resolution generations and batching superior to A100's capacities.
A100's 19.5 TFLOPS FP32 meets many simulation needs at lower 400W TDP and $1.23/hr average cost versus B200's power demands.
Frequently Asked Questions
Which GPU has more VRAM: A100 SXM4 80GB or B200 SXM?▾
The B200 SXM provides 192 GB HBM3e VRAM, exceeding the A100 SXM4 80GB's 80 GB HBM2e. This allows B200 to load larger models without partitioning. Bandwidth follows suit at 8000 GB/s versus 2039 GB/s.
How do cloud prices compare for A100 SXM4 80GB and B200 SXM?▾
A100 starts from $0.13/hr with average $1.23/hr across 33 offers; B200 from $1.71/hr averaging $4.60/hr across 13 offers. A100 offers better value for mature workloads. Prices fluctuate with demand.
What is the FP16 performance difference between A100 and B200?▾
B200 delivers 4500 TFLOPS FP16, over 14 times the A100's 312 TFLOPS. This gap accelerates deep learning training significantly. FP32 is 90 TFLOPS versus 19.5 TFLOPS.
Is B200 better for LLM training than A100?▾
Yes, B200's 192 GB VRAM and 4500 TFLOPS FP16 support larger models and faster epochs than A100's 80 GB and 312 TFLOPS. It includes FP8 at 9000 TFLOPS for efficiency.
What are the power requirements for these GPUs?▾
A100 SXM4 80GB has 400W TDP; B200 SXM requires 1000W. B200 demands advanced cooling for sustained performance. Form factors are SXM for both.
Which supports faster interconnects?▾
B200 uses PCIe 6.0 alongside NVLink and InfiniBand, surpassing A100's PCIe 4.0. This enhances multi-GPU scaling in clusters.
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.