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
Compute throughput reveals stark disparities: the B200 SXM's 4500 TFLOPS FP16 vastly exceeds the RTX 2070's 7.5 TFLOPS, accelerating deep learning training where half-precision dominates. FP32 performance follows suit at 90 TFLOPS versus 7.5 TFLOPS, benefiting simulations and graphics rendering. The B200's FP8 capability at 9000 TFLOPS optimizes inference for quantized models, a feature absent in the RTX 2070.
Memory constraints shape real-world viability. With 192 GB HBM3e VRAM and 8000 GB/s bandwidth, the B200 SXM supports enormous batch sizes in LLM training, enabling models exceeding 8 GB GDDR6 limits on the RTX 2070. Lower bandwidth at 448 GB/s on the RTX 2070 bottlenecks data movement, restricting scalability in memory-intensive tasks. Power draw underscores this: 1000W TDP for B200 versus 175W reflects datacenter versus desktop orientations.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 B200 SXM
Datacenter-scale AI demands the B200 SXM. Its 192 GB VRAM handles massive LLMs during training, where RTX 2070's 8 GB fails. Users scaling inference with 9000 TFLOPS FP8 or 8000 GB/s bandwidth choose it for throughput unmatched by the 448 GB/s alternative. Cloud deployments across NVLink, PCIe 6.0, and InfiniBand suit multi-GPU clusters.
When to Choose the RTX 2070
Budget-conscious light workloads favor the RTX 2070. At $0.02 per hour from cloud offers, it runs small-scale inference or fine-tuning within 8 GB VRAM limits. Gaming or entry-level Stable Diffusion leverages its 7.5 TFLOPS FP16 at 175W TDP, avoiding B200's $1.71 per hour cost for non-enterprise needs.
Use Cases
B200 SXM's 192 GB VRAM and 4500 TFLOPS FP16 support massive model training. RTX 2070's 8 GB VRAM cannot accommodate large datasets or parameters.
9000 TFLOPS FP8 and 8000 GB/s bandwidth on B200 SXM deliver high-throughput serving. RTX 2070's 7.5 TFLOPS FP16 limits scale for production inference.
B200 SXM's 90 TFLOPS FP32 and 192 GB VRAM handle parameter-efficient tuning on large models. RTX 2070 suits only tiny models within 8 GB.
RTX 2070's 8 GB VRAM runs standard image generation at 7.5 TFLOPS FP16. B200 SXM excels for high-resolution batches via 192 GB.
B200 SXM's 90 TFLOPS FP32 and interconnects like PCIe 6.0 scale simulations. RTX 2070's matching 7.5 TFLOPS FP32 limits complex workloads.
Frequently Asked Questions
What is the VRAM difference between B200 SXM and RTX 2070?▾
B200 SXM provides 192 GB HBM3e VRAM. RTX 2070 offers 8 GB GDDR6. This 24-fold gap allows B200 to load vast models without swapping.
How do FP16 performances compare?▾
B200 SXM achieves 4500 TFLOPS FP16. RTX 2070 delivers 7.5 TFLOPS. The 600-fold advantage accelerates AI training on B200.
What are the cloud pricing ranges?▾
B200 SXM starts at $1.71 per hour, averaging $4.60 across 13 offers. RTX 2070 begins at $0.02 per hour, averaging $0.04 across 2 offers.
Which has higher memory bandwidth?▾
B200 SXM reaches 8000 GB/s. RTX 2070 provides 448 GB/s. Higher bandwidth on B200 supports larger batch sizes in ML.
Is B200 SXM better for LLM training?▾
Yes, with 192 GB VRAM and 4500 TFLOPS FP16 versus 8 GB and 7.5 TFLOPS. It scales to models RTX 2070 cannot fit.
What are the TDPs?▾
B200 SXM consumes 1000W TDP. RTX 2070 uses 175W. Lower TDP makes RTX 2070 suitable for power-limited setups.
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.
