Specifications Compared
| Spec | RTX PRO 6000 | V100 |
|---|---|---|
| TDP | 600W | 300W |
| VRAM | 96 GB | 16-32 GB |
| CUDA Cores | 24,064 | 5,120 |
| FP4 (dense) | 2,015.2 TFLOPS | Not published |
| FP8 (dense) | 1,007.6 TFLOPS | Not published |
| Memory Type | GDDR7 | HBM2 |
| Architecture | Blackwell | Volta |
| FP16 (dense) | 503.8 TFLOPS | 125 TFLOPS |
| Form Factors | PCIe | SXM2, PCIe |
| INT8 (dense) | 1,007.6 TOPS | Not published |
| Interconnect | PCIe 5.0 | NVLink, PCIe 3.0 |
| Tensor Cores | 752 | 640 |
| FP32 Performance | 126 TFLOPS | 15.7 TFLOPS |
| FP64 Performance | Not published | 7.8 TFLOPS |
| Memory Bandwidth | 1,792 GB/s | 900 GB/s |
| FP4 (with sparsity) | 4,030.4 TFLOPS | Not published |
| FP8 (with sparsity) | 2,015.2 TFLOPS | Not published |
| FP16 (with sparsity) | 1,007.6 TFLOPS | Not published |
| INT8 (with sparsity) | 2,015.2 TOPS | Not published |
Performance Analysis
The FP16 dense performance reaches 503.8 TFLOPS on the RTX PRO 6000 against 125 TFLOPS on the V100. This difference affects training and inference workloads where higher dense FP16 throughput supports larger models or faster iteration. The FP32 figure stands at 126 TFLOPS for the RTX PRO 6000 compared to 15.7 TFLOPS for the V100. Memory bandwidth of 1792 GB/s on the RTX PRO 6000 versus 900 GB/s on the V100 influences achievable batch sizes during dense FP16 operations. Sparse FP16 performance measures 1007.6 TFLOPS on the RTX PRO 6000 with no corresponding sparse figure published for the V100.
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.
RTX PRO 6000
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| RunPod | global | 1 | $0.69 | — | Deploy |
| Massed Compute | us-central-9 | 1 | $2.19 | — | Deploy |
| Vast.ai | Czechia, CZ | 1 | $2.21 | — | Deploy |
| QuantaCloud | us-midwest-4 | 1 | $2.39 | — | Deploy |
| VERDA | FIN-HEL | 1 | $2.40 | — | Deploy |
6 providers in stock, 9 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts
V100
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Ori | beauharnois | 1 | $0.83 | — | Deploy |
| Paperspace | ca1 | 1 | $2.30 | — | Deploy |
2 providers in stock, 72 offers (cheapest per provider shown). All V100 offers, price history and alerts
Notify me when RTX PRO 6000 drops below a price
One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.69/GPU-hr.
QuantaCloud
Comparing providers? We broker across all of them.
Stop tab-switching between pricing pages. Tell us what you need, 16+ GPUs reserved or cluster capacity, and we return one quote at partner rates within 24 hours.
When to Choose the RTX PRO 6000
The RTX PRO 6000 suits workloads that require 96 GB VRAM and 1792 GB/s bandwidth for handling large datasets. Its FP16 dense performance of 503.8 TFLOPS and FP32 performance of 126 TFLOPS enable faster execution of modern tensor operations compared to older hardware.
When to Choose the V100
Choose the V100 only when the job is double precision, where its 7.8 TFLOPS of FP64 has no published counterpart on the RTX PRO 6000, or when the work fits in 16 to 32 GB and you are choosing on cost rather than speed. Its NVLink lets several cards pool memory, which the PCIe only RTX PRO 6000 cannot do, but a single RTX PRO 6000 already holds 96 GB, three times the largest V100 configuration. For any FP16, FP8 or FP4 workload the V100 is the wrong pick at 125 TFLOPS dense FP16 against 503.8 TFLOPS.
Use Cases
The RTX PRO 6000 supplies 503.8 TFLOPS FP16 dense performance and 96 GB VRAM for larger training batches.
FP8 dense performance of 1007.6 TFLOPS on the RTX PRO 6000 accelerates inference throughput beyond the V100 capabilities.
Higher memory bandwidth of 1792 GB/s and 503.8 TFLOPS FP16 dense allow efficient parameter updates on the RTX PRO 6000.
The RTX PRO 6000 FP16 dense rating of 503.8 TFLOPS supports faster image generation steps than the V100 125 TFLOPS.
Both GPUs deliver FP32 performance though the RTX PRO 6000 reaches 126 TFLOPS while the V100 reaches 15.7 TFLOPS.
Frequently Asked Questions
What is the FP16 dense performance difference between these GPUs?▾
The RTX PRO 6000 achieves 503.8 TFLOPS FP16 dense. The V100 achieves 125 TFLOPS FP16 dense.
How does memory bandwidth compare on the RTX PRO 6000 and V100?▾
The RTX PRO 6000 lists 1792 GB/s bandwidth. The V100 lists 900 GB/s bandwidth.
What TDP values apply to the RTX PRO 6000 and V100?▾
The RTX PRO 6000 TDP measures 600 W. The V100 TDP measures 300 W.
Which is cheaper to rent, the RTX PRO 6000 or the V100?▾
Cloud rental prices for both the RTX PRO 6000 and V100 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 RTX PRO 6000 have compared to the V100?▾
The RTX PRO 6000 has 96 GB of GDDR7 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find RTX PRO 6000 and V100 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 RTX PRO 6000 and the V100?▾
The RTX PRO 6000 uses the Blackwell architecture (2025) while the V100 uses Volta (2017). The RTX PRO 6000 delivers 4.0x the dense FP16 throughput (503.8 vs 125 TFLOPS, both without sparsity) and 2.0x the memory bandwidth of the V100.
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 RTX PRO 6000 and the V100. 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 RTX PRO 6000 BLACKWELLEvery current offer by provider, daily price history and a price alert.
- Rent V100Every 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.