Specifications Compared
| Spec | B200 | RTX-4070 |
|---|---|---|
| TDP | 1000W | 200W |
| VRAM | 192 GB | 12 GB |
| CUDA Cores | 18,432 | 5,888 |
| Memory Type | HBM3e | GDDR6X |
| Architecture | Blackwell | Ada Lovelace |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | |
| Tensor Cores | 576 | 184 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 90 TFLOPS | 29.1 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | 466 TOPS |
| Memory Bandwidth | 8,000 GB/s | 504 GB/s |
Performance Analysis
The B200 SXM dominates in compute throughput: its 4500 TFLOPS FP16 performance enables rapid AI model training, where low-precision computations accelerate iterations by orders of magnitude over the RTX 4070 Ti SUPER's 29.1 TFLOPS. The FP32 rating of 90 TFLOPS on the B200 supports precise scientific simulations, exceeding the RTX 4070 Ti SUPER's matched 29.1 TFLOPS and allowing complex workloads without precision bottlenecks.
Memory specs reshape real-world usage: 192 GB HBM3e on the B200 handles enormous batch sizes for LLMs, preventing out-of-memory errors common with the RTX 4070 Ti SUPER's 12 GB GDDR6X. The 8000 GB/s bandwidth versus 504 GB/s sustains high data throughput, reducing training times and enabling larger models during inference. These advantages scale further via NVLink interconnects on the B200, absent on the PCIe-bound RTX 4070 Ti SUPER.
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 |
RTX 4070 Ti SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the B200 SXM
Enterprises training massive LLMs select the B200 SXM: its 192 GB VRAM fits models exceeding 100 billion parameters, and 4500 TFLOPS FP16 cuts training epochs dramatically. Multi-GPU clusters benefit from NVLink and PCIe 6.0, scaling to thousands of GPUs for distributed workloads unavailable on the RTX 4070 Ti SUPER.
When to Choose the RTX 4070 Ti SUPER
Budget-conscious users favor the RTX 4070 Ti SUPER for light inference: at $0.09 per hour, it delivers 29.1 TFLOPS FP16 for serving smaller models cost-effectively. Prototyping or gaming workloads leverage its 200W TDP and PCIe form factor in single-node setups, avoiding the B200 SXM's $1.71 per hour entry price.
Use Cases
The B200 SXM's 192 GB HBM3e VRAM and 4500 TFLOPS FP16 enable training of large LLMs with billion-plus parameters. The RTX 4070 Ti SUPER's 12 GB GDDR6X cannot accommodate such scales.
B200 SXM supports high-throughput inference via 8000 GB/s bandwidth and FP8 at 9000 TFLOPS for massive batches. RTX 4070 Ti SUPER suits only small models at 504 GB/s.
RTX 4070 Ti SUPER handles fine-tuning of models under 12 GB at $0.09 per hour. B200 SXM excels for larger datasets with 192 GB VRAM.
RTX 4070 Ti SUPER generates images efficiently with 29.1 TFLOPS FP16 at low cost. B200 SXM overkill for single-user creative tasks.
B200 SXM's 90 TFLOPS FP32 and InfiniBand interconnect scale simulations across nodes. RTX 4070 Ti SUPER limits to 29.1 TFLOPS FP32 on single GPUs.
Frequently Asked Questions
What is the VRAM difference between B200 SXM and RTX 4070 Ti SUPER?▾
The B200 SXM offers 192 GB HBM3e VRAM, enabling large model handling. The RTX 4070 Ti SUPER provides 12 GB GDDR6X, suitable for smaller workloads.
How do FP16 performances compare?▾
B200 SXM delivers 4500 TFLOPS FP16 for accelerated AI training. RTX 4070 Ti SUPER reaches 29.1 TFLOPS, adequate for lighter inference.
What are the cloud pricing ranges?▾
B200 SXM starts at $1.71 per hour, averaging $4.60 per hour across 13 offers. RTX 4070 Ti SUPER begins at $0.09 per hour, averaging $0.17 per hour across 2 offers.
Which has higher memory bandwidth?▾
B200 SXM achieves 8000 GB/s, supporting massive batch sizes. RTX 4070 Ti SUPER offers 504 GB/s for consumer tasks.
What is the TDP comparison?▾
B200 SXM requires 1000W for datacenter power. RTX 4070 Ti SUPER uses 200W, ideal for compact setups.
What interconnects does B200 SXM support?▾
B200 SXM includes NVLink, PCIe 6.0, and InfiniBand for multi-GPU scaling. RTX 4070 Ti SUPER relies on PCIe alone.
Which is cheaper to rent, the B200 or the RTX 4070?▾
Cloud rental prices for both the B200 and RTX 4070 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 4070?▾
The B200 has 192 GB of HBM3e memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find B200 and RTX 4070 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 4070?▾
The B200 uses the Blackwell architecture (2024) while the RTX 4070 uses Ada Lovelace (2023). The B200 delivers 154.6x the FP16 throughput and 15.9x the memory bandwidth of the RTX 4070.