Specifications Compared
| Spec | B200 | RTX-2070 |
|---|---|---|
| TDP | 1000W | 175W |
| VRAM | 192 GB | 8 GB |
| CUDA Cores | 18,432 | 2,304 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell | Turing |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | NVLink |
| Tensor Cores | 576 | 288 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 7.5 TFLOPS |
| FP32 Performance | 90 TFLOPS | 7.5 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | |
| Memory Bandwidth | 8,000 GB/s | 448 GB/s |
Performance Analysis
The B200's FP16 performance reaches 4500 TFLOPS, enabling rapid AI training with large datasets, while its FP32 at 90 TFLOPS supports precise simulations; the RTX 2070 matches only 7.5 TFLOPS across both, limiting it to modest tasks. This disparity means the B200 accelerates model training by orders of magnitude, as half-precision computations dominate deep learning pipelines.
Memory bandwidth defines workload feasibility: the B200's 8000 GB/s sustains enormous batch sizes in 192 GB VRAM, preventing bottlenecks in transformer models. The RTX 2070's 448 GB/s and 8 GB VRAM cap batches at small scales, often triggering out-of-memory issues for modern LLMs during inference or fine-tuning. Power draw reflects intent, with the B200's 1000W TDP suiting clustered deployments versus the RTX 2070's efficient 175W for edge use.
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
Select the NVIDIA B200 for enterprise AI training and inference: its 192 GB HBM3e VRAM accommodates models exceeding 100 billion parameters, and 4500 TFLOPS FP16 halves training times compared to prior generations. High-bandwidth NVLink and PCIe 6.0 interconnects optimize multi-GPU scaling in datacenters tolerant of 1000W TDP.
When to Choose the RTX 2070
Opt for the NVIDIA GeForce RTX 2070 in cost-sensitive scenarios like hobbyist gaming or lightweight ML prototyping: at an average $0.04 per hour, its 7.5 TFLOPS FP32 handles tasks within 8 GB VRAM. The 175W TDP integrates seamlessly into desktop setups without specialized cooling.
Use Cases
The B200's 192 GB VRAM and 4500 TFLOPS FP16 support training models with hundreds of billions of parameters in single-GPU setups. The RTX 2070's 8 GB VRAM cannot handle such scales.
B200's 9000 TFLOPS FP8 and 8000 GB/s bandwidth enable high-throughput quantized inference for production. RTX 2070's 7.5 TFLOPS FP16 limits it to tiny batches.
With 90 TFLOPS FP32 and vast memory, B200 fine-tunes large models efficiently. RTX 2070 struggles beyond small datasets due to 8 GB constraints.
RTX 2070 generates images adequately at 7.5 TFLOPS for personal use within 8 GB VRAM. B200 excels at high-resolution batches but overkill for solo tasks.
B200's 90 TFLOPS FP32 and 192 GB VRAM accelerate simulations like molecular dynamics. RTX 2070's matching 7.5 TFLOPS FP32 falls short on memory-intensive jobs.
Frequently Asked Questions
What is the VRAM difference between NVIDIA B200 and RTX 2070?▾
The B200 provides 192 GB HBM3e VRAM, while the RTX 2070 has 8 GB GDDR6. This 24-fold gap allows B200 to process massive AI models without partitioning. RTX 2070 suits only small-scale applications.
How do compute performances compare for AI tasks?▾
B200 delivers 4500 TFLOPS FP16 and 9000 TFLOPS FP8, versus RTX 2070's 7.5 TFLOPS FP16. B200 accelerates training and inference dramatically. RTX 2070 manages basic ML but not production scales.
What are the cloud rental prices?▾
NVIDIA B200 NVL starts at $10.50 per hour across one offer. NVIDIA GeForce RTX 2070 begins at $0.02 per hour, averaging $0.04 across two offers. Pricing reflects capability disparities.
Can RTX 2070 handle modern LLMs?▾
RTX 2070's 8 GB VRAM limits it to tiny LLMs or heavy quantization. B200's 192 GB supports full-scale models at 4500 TFLOPS FP16. Use RTX 2070 only for prototyping.
What is the power consumption difference?▾
B200 requires 1000W TDP for datacenter use. RTX 2070 draws 175W, fitting consumer PCs. Higher TDP on B200 enables superior performance density.
Which has higher memory bandwidth?▾
B200 achieves 8000 GB/s, 18 times the RTX 2070's 448 GB/s. This sustains large batch sizes on B200. RTX 2070 bottlenecks on data-heavy workloads.
Which is cheaper to rent, the B200 or the RTX 2070?▾
Cloud rental prices for both the B200 and RTX 2070 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 2070?▾
The B200 has 192 GB of HBM3e memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find B200 and RTX 2070 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 2070?▾
The B200 uses the Blackwell architecture (2024) while the RTX 2070 uses Turing (2018). The B200 delivers 600.0x the FP16 throughput and 17.9x the memory bandwidth of the RTX 2070.