Specifications Compared
| Spec | B200 | RTX 5070 |
|---|---|---|
| TDP | 1000W | 250W |
| VRAM | 180-192 GB | 12-16 GB |
| CUDA Cores | 18,432 | 6,144 |
| FP4 (dense) | 9,000 TFLOPS | 493.9 TFLOPS |
| FP8 (dense) | 4,500 TFLOPS | 123.5 TFLOPS |
| Memory Type | HBM3e | GDDR7 |
| Architecture | Blackwell | Blackwell |
| FP16 (dense) | 2,250 TFLOPS | 61.7 TFLOPS |
| Form Factors | SXM, NVL | PCIe |
| INT8 (dense) | 4,500 TOPS | 246.9 TOPS |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | PCIe 5.0 |
| Tensor Cores | 576 | 192 |
| FP32 Performance | 75 TFLOPS | 30.9 TFLOPS |
| FP64 Performance | 37 TFLOPS | Not published |
| Memory Bandwidth | 8,000 GB/s | 672 GB/s |
| FP4 (with sparsity) | 18,000 TFLOPS | 987.8 TFLOPS |
| FP8 (with sparsity) | 9,000 TFLOPS | 246.9 TFLOPS |
| FP16 (with sparsity) | 4,500 TFLOPS | 123.5 TFLOPS |
| INT8 (with sparsity) | 9,000 TOPS | 493.9 TOPS |
Performance Analysis
Dense FP16 performance on the B200 reaches 2250 TFLOPS compared with 61.7 TFLOPS on the RTX 5070 producing a ratio of roughly thirty six to one. The same pattern holds for sparse FP16 where the B200 reaches 4500 TFLOPS against 123.5 TFLOPS on the RTX 5070. FP32 figures follow a narrower gap with the B200 at 75 TFLOPS and the RTX 5070 at 30.9 TFLOPS. Memory bandwidth differences of 8000 GB per second versus 672 GB per second directly influence maximum batch sizes during training or inference passes. Higher bandwidth on the B200 supports larger resident tensors without frequent host transfers while the RTX 5070 bandwidth constrains batch dimensions on memory intensive models.
Current On-Demand Offers
Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.
B200
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| RunPod | global | 1 | $7.99 | — | Deploy |
| VERDA | FIN-HEL | 1 | $8.03 | — | Deploy |
| Lyceum | Europe | 1 | $8.79 | — | Deploy |
| Vast.ai | , US | 4 | $9.00 | $36.00 | Deploy |
4 providers in stock, 5 offers (cheapest per provider shown). All B200 offers, price history and alerts
RTX 5070
RTX 5070 is not offered on-demand by any provider we track right now. See the RTX 5070 rental page for last-seen listed prices and a price alert.
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One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $7.99/GPU-hr.
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When to Choose the B200
The B200 suits workloads that require 180 to 192 GB of HBM3e memory and 8000 GB per second bandwidth such as multi billion parameter model training. Its 2250 TFLOPS dense FP16 rating enables faster iteration on large matrix operations than the 61.7 TFLOPS dense FP16 of the RTX 5070. Organizations running distributed clusters also benefit from the listed NVLink and InfiniBand interconnect options.
When to Choose the RTX 5070
The RTX 5070 fits inference or fine tuning tasks that fit within 12 to 16 GB of GDDR7 memory and that tolerate 61.7 TFLOPS dense FP16 throughput. Its 250 W TDP allows deployment in standard workstations where the 1000 W rating of the B200 would require specialized power infrastructure. PCIe 5.0 connectivity further simplifies integration into existing consumer or small server platforms.
Use Cases
The B200 supplies 180 to 192 GB HBM3e memory and 2250 TFLOPS dense FP16 allowing training runs that exceed the 12 to 16 GB limit of the RTX 5070.
The B200 delivers 4500 TFLOPS FP8 with sparsity and 8000 GB per second bandwidth supporting higher throughput on large models than the RTX 5070 123.5 TFLOPS FP8 with sparsity.
Both cards handle fine tuning when model size fits the available memory yet the B200 75 TFLOPS FP32 provides headroom for larger adapters compared with the RTX 5070 30.9 TFLOPS FP32.
The RTX 5070 12 to 16 GB GDDR7 memory and 250 W TDP suffice for typical image generation workloads while avoiding the 1000 W requirement of the B200.
The B200 75 TFLOPS FP32 combined with 8000 GB per second bandwidth accelerates memory bound scientific kernels beyond the RTX 5070 30.9 TFLOPS FP32 and 672 GB per second bandwidth.
Frequently Asked Questions
What is the FP16 performance difference between the two GPUs?▾
Dense FP16 performance reaches 2250 TFLOPS on the B200 and 61.7 TFLOPS on the RTX 5070. Sparse FP16 performance reaches 4500 TFLOPS on the B200 and 123.5 TFLOPS on the RTX 5070.
Which GPU offers higher memory bandwidth?▾
The B200 lists 8000 GB per second memory bandwidth while the RTX 5070 lists 672 GB per second. The bandwidth ratio influences achievable batch sizes on bandwidth limited workloads.
What power draw should be expected from each card?▾
The B200 carries a 1000 W TDP rating and the RTX 5070 carries a 250 W TDP rating. System design must accommodate these figures when planning power delivery and cooling.
Can the RTX 5070 run models that fit on the B200?▾
Models requiring more than 16 GB of memory exceed the RTX 5070 capacity while fitting within the 180 to 192 GB capacity of the B200. Smaller models run on either card provided the workload stays inside the listed memory limits.
Which is cheaper to rent, the B200 or the RTX 5070?▾
Cloud rental prices for both the B200 and RTX 5070 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 5070?▾
The B200 has 180 to 192 GB of HBM3e memory. The RTX 5070 has 12 to 16 GB of GDDR7 memory.
Can I find B200 and RTX 5070 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 5070?▾
The B200 uses the Blackwell architecture (2024) while the RTX 5070 uses Blackwell (2025). The B200 delivers 36.5x the dense FP16 throughput (2,250 vs 61.7 TFLOPS, both without sparsity) and 11.9x the memory bandwidth of the RTX 5070.
Rent these GPUs
Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.
Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the B200 and the RTX 5070. Dense and sparse throughput are listed separately.
- Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
- The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
- Read how we collect the data, or report an error on this page.
Next steps
- Rent B200Every current offer by provider, daily price history and a price alert.
- Rent RTX 5070Every current offer by provider, daily price history and a price alert.
- GPU price indexHow on-demand prices for the major GPUs have moved, updated daily.
- All GPUsEvery GPU we track, with current lows and provider counts.