Specifications Compared
| Spec | H100 | RTX-PRO-6000-BLACKWELL |
|---|---|---|
| TDP | 700W | 400W |
| VRAM | 80-94 GB | 96 GB |
| CUDA Cores | 16,896 | 21,760 |
| Memory Type | HBM3 | GDDR7 |
| Architecture | Hopper | Blackwell |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink |
| Tensor Cores | 528 | 680 |
| FP8 Performance | 3,958 TFLOPS | 2,000 TFLOPS |
| FP16 Performance | 1,979 TFLOPS | 125 TFLOPS |
| FP32 Performance | 67 TFLOPS | 125 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 2,000 TOPS |
| Memory Bandwidth | 3,350 GB/s | 1,792 GB/s |
Performance Analysis
Superior FP16 performance defines the H100 SXM5: 1979 TFLOPS enables rapid training of massive neural networks, where mixed-precision computations dominate. The RTX PRO 6000 Blackwell trails at 125 TFLOPS FP16, limiting its speed for large-scale model training but suiting inference where FP32 parity at 125 TFLOPS aids rendering tasks. FP8 metrics reinforce this, with H100's 3958 TFLOPS accelerating quantized inference over RTX PRO 6000's 2000 TFLOPS.
Memory bandwidth profoundly impacts workloads: H100's 3350 GB/s supports larger batch sizes in training, reducing iterations and memory bottlenecks for models exceeding 70B parameters. RTX PRO 6000's 1792 GB/s handles moderate batches adequately but falters in bandwidth-intensive scenarios like scientific simulations. Higher TDP of 700W on H100 demands robust cooling, contrasting RTX PRO 6000's efficient 400W for dense deployments.
Real-world implications favor H100 for throughput-critical applications, as its specs yield up to 15x FP16 advantage, while RTX PRO 6000 excels in power-normalized efficiency for edge-like cloud instances.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 SXM5
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Hyperstack | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 124 vCPU 720GB RAM 3300GB Storage | Canada | $1.90/GPU/hr $7.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA H100 PCIe 80GB VRAM | 80GB | 60 vCPU 360GB RAM 1600GB Storage | Canada | $1.90/GPU/hr $3.80/hr total (2×) | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.90/GPU/hr $15.20/hr total (8×) | Available | ||
Hyperstack | NVIDIA H100 PCIe 80GB VRAM | 80GB | 28 vCPU 180GB RAM 850GB Storage | Canada | $1.90/GPU/hr | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.95/GPU/hr $15.60/hr total (8×) | Available |
When to Choose the H100 SXM5
Opt for the H100 SXM5 in LLM training or fine-tuning of models over 100B parameters, where 1979 TFLOPS FP16 and 3350 GB/s bandwidth enable batch sizes that RTX PRO 6000 cannot match with 125 TFLOPS and 1792 GB/s. Its 80-94 GB HBM3 VRAM accommodates vast datasets without swapping, ideal for research labs prioritizing speed over cost at $1.47 per hour starting price.
When to Choose the RTX PRO 6000 Blackwell
Select the RTX PRO 6000 Blackwell for cost-effective inference or Stable Diffusion generation, leveraging 96 GB GDDR7 VRAM and 125 TFLOPS FP32 at $0.59 per hour. Lower 400W TDP suits multi-GPU nodes with power constraints, and Blackwell architecture optimizes newer inference frameworks better than Hopper.
Use Cases
H100's 1979 TFLOPS FP16 and 3350 GB/s bandwidth handle massive datasets and large batches essential for training models over 70B parameters. RTX PRO 6000's 125 TFLOPS FP16 proves insufficient for such scale.
RTX PRO 6000's 2000 TFLOPS FP8 and 96 GB GDDR7 VRAM support efficient quantized serving at lower $0.59 per hour cost. H100's higher power suits training more than production inference.
H100 excels with 80-94 GB HBM3 for parameter-efficient fine-tuning on large models, backed by 3958 TFLOPS FP8. RTX PRO 6000 limits batch sizes via 1792 GB/s bandwidth.
RTX PRO 6000's 125 TFLOPS FP32 balances image generation needs with 400W TDP efficiency. Newer Blackwell architecture optimizes diffusion models over H100's training focus.
H100's 67 TFLOPS FP32 and NVLink interconnect speed simulations requiring high memory bandwidth of 3350 GB/s. RTX PRO 6000's lower specs hinder complex HPC workloads.
Frequently Asked Questions
What is the VRAM capacity of H100 SXM5 versus RTX PRO 6000 Blackwell?▾
H100 SXM5 provides 80-94 GB HBM3 VRAM, optimized for high-bandwidth AI tasks. RTX PRO 6000 Blackwell offers 96 GB GDDR7, suitable for capacity-focused workloads. HBM3 edges in speed despite slightly lower capacity.
How do FP16 performance levels compare?▾
H100 SXM5 achieves 1979 TFLOPS FP16 for superior training throughput. RTX PRO 6000 Blackwell delivers 125 TFLOPS FP16, adequate for inference but 15x slower on training. This gap defines primary use case splits.
What are the current cloud pricing ranges?▾
H100 SXM5 starts at $1.47 per hour, averaging $3.66 per hour across 33 offers. RTX PRO 6000 Blackwell begins at $0.59 per hour, averaging $1.25 per hour across 5 offers. Pricing reflects performance disparity.
Which GPU has higher memory bandwidth?▾
H100 SXM5 leads with 3350 GB/s, enabling larger batches in training. RTX PRO 6000 Blackwell provides 1792 GB/s, sufficient for most inference but limiting in data-heavy tasks. Bandwidth directly impacts scalability.
What are the TDP differences?▾
H100 SXM5 consumes 700W, requiring data center cooling. RTX PRO 6000 Blackwell uses 400W, ideal for efficient cloud clusters. Lower TDP reduces operational costs for RTX deployments.
Which architecture is newer?▾
RTX PRO 6000 Blackwell uses 2025 Blackwell architecture with NVLink support. H100 SXM5 relies on 2022 Hopper. Newer Blackwell offers future-proofing for evolving AI frameworks.
Which is cheaper to rent, the H100 or the RTX PRO 6000?▾
Cloud rental prices for both the H100 and RTX PRO 6000 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 H100 have compared to the RTX PRO 6000?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.
Can I find H100 and RTX PRO 6000 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 H100 and the RTX PRO 6000?▾
The H100 uses the Hopper architecture (2022) while the RTX PRO 6000 uses Blackwell (2025). The H100 delivers 15.8x the FP16 throughput and 1.9x the memory bandwidth of the RTX PRO 6000.