Specifications Compared
| Spec | B200 | V100 |
|---|---|---|
| TDP | 1000W | 300W |
| VRAM | 192 GB | 16-32 GB |
| CUDA Cores | 18,432 | 5,120 |
| Memory Type | HBM3e | HBM2 |
| Architecture | Blackwell | Volta |
| Form Factors | SXM, NVL | SXM2, PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | NVLink, PCIe 3.0 |
| Tensor Cores | 576 | 640 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 125 TFLOPS |
| FP32 Performance | 90 TFLOPS | 15.7 TFLOPS |
| FP64 Performance | 45 TFLOPS | 7.8 TFLOPS |
| INT8 Performance | 9,000 TOPS | |
| Memory Bandwidth | 8,000 GB/s | 900 GB/s |
Performance Analysis
Raw compute power favors the B200 NVL decisively: its 4500 TFLOPS FP16 rating supports accelerated deep learning training, processing tensor operations 36 times faster than the V100's 125 TFLOPS. For FP32 tasks common in scientific simulations, the B200 NVL's 90 TFLOPS outperforms the V100's 15.7 TFLOPS by over fivefold, reducing iteration times significantly.
Memory specifications transform real-world usage. The B200 NVL's 192 GB HBM3e VRAM and 8000 GB/s bandwidth allow massive batch sizes in model training, minimizing data loading bottlenecks that plague the V100's 32 GB HBM2 and 900 GB/s. Inference benefits similarly, with FP8 at 9000 TFLOPS on B200 NVL enabling low-precision deployments at scales impossible on V100.
Power draw highlights trade-offs: the B200 NVL's 1000W TDP demands robust cooling versus the V100's 300W, but yields proportional gains in throughput for dense clusters.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B200 NVL
| 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 |
Tesla V100 32GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Texas | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | New York City | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Texas | $0.29/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | New York City | $0.29/GPU/hr | Available | ||
 Lambda Labs | 8×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 88 vCPU 448GB RAM 6041GB Storage | Texas | $0.79/GPU/hr $6.32/hr total (8×) | Available |
When to Choose the B200 NVL
Opt for the NVIDIA B200 NVL in large-scale AI training where 192 GB HBM3e VRAM handles models exceeding 32 GB limits of V100. Its 4500 TFLOPS FP16 and 8000 GB/s bandwidth excel in LLM fine-tuning or diffusion models requiring high batch sizes.
Cloud deployments at $10.50 per hour justify selection for production inference leveraging NVLink and PCIe 6.0 interconnects, far surpassing V100's capabilities.
When to Choose the Tesla V100 32GB
Select the NVIDIA Tesla V100 32GB for cost-sensitive tasks at $0.29 per hour starting price. Its 125 TFLOPS FP16 suffices for small-scale inference or legacy Volta-optimized codebases avoiding Blackwell migration costs.
Low 300W TDP fits edge or power-constrained environments, with 46 cloud offers providing abundant availability for prototyping.
Use Cases
B200 NVL's 192 GB VRAM and 4500 TFLOPS FP16 enable training massive LLMs with large batches, unlike V100's 32 GB limit.
9000 TFLOPS FP8 and 8000 GB/s bandwidth on B200 NVL support high-throughput serving; V100's 125 TFLOPS FP16 falls short for scale.
90 TFLOPS FP32 and vast memory allow efficient fine-tuning of large models on B200 NVL, exceeding V100's 15.7 TFLOPS capacity.
B200 NVL's high FP16 performance and bandwidth accelerate image generation pipelines beyond V100's constraints.
V100 suits legacy FP32 codes at low cost; B200 NVL excels in memory-intensive simulations with 192 GB VRAM.
Frequently Asked Questions
What is the VRAM difference between B200 NVL and V100 32GB?▾
B200 NVL provides 192 GB HBM3e, six times more than V100's 32 GB HBM2. This enables larger models and batch sizes. Bandwidth is 8000 GB/s versus 900 GB/s.
How much faster is B200 NVL in FP16 than V100?▾
B200 NVL delivers 4500 TFLOPS FP16, 36 times the V100's 125 TFLOPS. Training times drop dramatically for AI tasks. FP32 is 90 TFLOPS versus 15.7 TFLOPS.
What are the cloud prices for these GPUs?▾
B200 NVL starts at $10.50 per hour across 1 offer. V100 32GB starts at $0.29 per hour, averaging $1.01 across 46 offers. Prices reflect performance disparity.
Does B200 NVL use more power than V100?▾
Yes, B200 NVL has 1000W TDP compared to V100's 300W. Higher power supports superior compute. Form factors include SXM for both.
What interconnects do they support?▾
B200 NVL uses NVLink, PCIe 6.0, InfiniBand. V100 supports NVLink, PCIe 3.0. B200 enables faster multi-GPU scaling.
Is V100 still viable in 2024?▾
V100 remains useful for budget tasks with 32 GB VRAM and low pricing. However, B200 NVL's 2024 Blackwell architecture dominates modern AI.
Which is cheaper to rent, the B200 or the V100?▾
Cloud rental prices for both the B200 and V100 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 V100?▾
The B200 has 192 GB of HBM3e memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find B200 and V100 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 V100?▾
The B200 uses the Blackwell architecture (2024) while the V100 uses Volta (2017). The B200 delivers 36.0x the FP16 throughput and 8.9x the memory bandwidth of the V100.