Specifications Compared
| Spec | B200 | RTX-4060 |
|---|---|---|
| TDP | 1000W | 115W |
| VRAM | 192 GB | 8 GB |
| CUDA Cores | 18,432 | 3,072 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell | Ada Lovelace |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | |
| Tensor Cores | 576 | 96 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 15.1 TFLOPS |
| FP32 Performance | 90 TFLOPS | 15.1 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | 242 TOPS |
| Memory Bandwidth | 8,000 GB/s | 272 GB/s |
Performance Analysis
Compute disparities define real-world capabilities: the B200's 4500 TFLOPS FP16 crushes the RTX 4060's 15.1 TFLOPS, enabling training of billion-parameter models in fractions of the time required on the consumer card. This FP16 delta accelerates gradient computations during backpropagation, reducing epochs from days to hours on B200 clusters.
FP32 performance further separates them: 90 TFLOPS on B200 versus 15.1 TFLOPS supports high-precision scientific simulations without compromise. For inference, the B200's 9000 TFLOPS FP8 throughput handles quantized LLMs at scale, processing thousands of tokens per second more than the RTX 4060.
Memory bandwidth profoundly impacts workloads: 8000 GB/s on B200 permits batch sizes in the thousands for stable training, minimizing data loading stalls. The RTX 4060's 272 GB/s restricts it to small batches, causing out-of-memory errors for models over 8 GB and slowing inference by bottlenecking weight accesses.
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 |
When to Choose the B200 NVL
Opt for the NVIDIA B200 NVL in large-scale AI training or inference where 192 GB HBM3e VRAM accommodates models like 175B-parameter LLMs. Its 8000 GB/s bandwidth and 4500 TFLOPS FP16 excel in distributed setups via NVLink, available from $10.50 per hour.
Enterprise teams benefit from its 1000W SXM form factor for hyperscale clusters handling petabyte datasets.
When to Choose the RTX 4060
The NVIDIA GeForce RTX 4060 suits budget-conscious gamers or solo developers running Stable Diffusion or small fine-tuning on 8 GB VRAM. Its 115W TDP enables desktop deployment without datacenter infrastructure.
Local prototyping benefits from zero cloud costs, as no live offers exist, contrasting the B200 NVL's $10.50 per hour.
Use Cases
The B200's 192 GB HBM3e VRAM and 4500 TFLOPS FP16 handle massive datasets and parameters infeasible on the RTX 4060's 8 GB GDDR6.
9000 TFLOPS FP8 and 8000 GB/s bandwidth on B200 support high-throughput serving of large models, unlike the RTX 4060's limitations at 15.1 TFLOPS.
B200's 90 TFLOPS FP32 and vast VRAM enable efficient adaptation of huge models; RTX 4060 struggles with batch sizes beyond 8 GB.
RTX 4060's 15.1 TFLOPS and 115W TDP optimize consumer image generation at 8 GB VRAM; B200 overkill for single-user tasks.
B200's 90 TFLOPS FP32 outperforms RTX 4060's 15.1 TFLOPS for simulations requiring precision and scale.
Frequently Asked Questions
Which GPU has more VRAM: B200 NVL or RTX 4060?▾
The B200 NVL provides 192 GB HBM3e VRAM, compared to the RTX 4060's 8 GB GDDR6. This enables the B200 to load models over 100 GB without swapping. The RTX 4060 suits tasks fitting within 8 GB.
What is the FP16 performance difference between B200 NVL and RTX 4060?▾
B200 NVL delivers 4500 TFLOPS FP16, vastly exceeding the RTX 4060's 15.1 TFLOPS. This gap accelerates AI training by orders of magnitude on B200. Inference workloads see similar speedups.
How does memory bandwidth compare on these GPUs?▾
B200 NVL offers 8000 GB/s, dwarfing the RTX 4060's 272 GB/s. Higher bandwidth on B200 supports larger batch sizes in training. RTX 4060 bottlenecks on memory-intensive tasks.
What are the power requirements for B200 NVL versus RTX 4060?▾
B200 NVL has a 1000W TDP for datacenter use, while RTX 4060 consumes 115W for desktops. B200 requires robust cooling and power infrastructure. RTX 4060 fits standard PCs.
Is cloud pricing available for these GPUs?▾
B200 NVL starts at $10.50 per hour across one live offer. RTX 4060 has no live cloud offers, favoring local purchase. Pricing reflects enterprise versus consumer positioning.
Which is better for large model training?▾
B200 NVL excels with 192 GB VRAM and 4500 TFLOPS FP16 for LLMs. RTX 4060's 8 GB limits it to small models. B200 completes training epochs far faster.
Which is cheaper to rent, the B200 or the RTX 4060?▾
Cloud rental prices for both the B200 and RTX 4060 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 4060?▾
The B200 has 192 GB of HBM3e memory. The RTX 4060 has 8 GB of GDDR6 memory.
Can I find B200 and RTX 4060 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 4060?▾
The B200 uses the Blackwell architecture (2024) while the RTX 4060 uses Ada Lovelace (2023). The B200 delivers 298.0x the FP16 throughput and 29.4x the memory bandwidth of the RTX 4060.