H200 vs RTX Pro 6000
Explore a head to head comparison of specifications, performance, and pricing.
H200
The NVIDIA H200 is an advanced Hopper-based GPU that significantly boosts performance for generative AI, LLM, and HPC workloads with enhanced memory and bandwidth.
RTX Pro 6000
The NVIDIA RTX Pro 6000 delivers high-performance computing capabilities for AI, machine learning, and data science applications.
H200 vs RTX Pro 6000: Which Should You Choose?
The H200 offers 141 GB of VRAM — 1.5× the 96 GB on the RTX Pro 6000 — making it better suited for large model workloads that require holding more parameters in GPU memory. On FP16 throughput, the H200 delivers 267.6 TFLOPS versus 126 TFLOPS on the RTX Pro 6000 — 2× faster for mixed-precision training and inference. Memory bandwidth favors the H200 at 0.00 TB/s compared to 0.00 TB/s on the RTX Pro 6000, which directly impacts inference latency for memory-bandwidth-bound models. Architecturally, the H200 is built on Hopper while the RTX Pro 6000 uses Blackwell, reflecting different generational capabilities and optimizations. On Shadeform, the RTX Pro 6000 starts from $1.25/hr versus $2.45/hr for the H200 — 96% more expensive — reflecting the performance premium.
H200 — Best Use Cases
- •Training large language models (7B–405B parameters)
- •High-throughput LLM inference
- •Mixture-of-experts and transformer workloads
- •Distributed multi-GPU training runs
Choose H200 when:
- ✓You need 141 GB+ VRAM for large models or long context windows
- ✓Maximum performance justifies the higher cost
- ✓You are training large models or running high-throughput inference
RTX Pro 6000 — Best Use Cases
- •Next-generation LLM pre-training at scale
- •Trillion-parameter model inference
- •Ultra-high-throughput AI workloads
- •Advanced HPC and scientific computing
Choose RTX Pro 6000 when:
- ✓96 GB VRAM is sufficient for your workload
- ✓Cost efficiency is your primary concern
- ✓Your workload does not require peak FP16 throughput
See how the H200 & RTX Pro 6000 compare
Compare detailed hardware specifications and average pricing for the H200 and RTX Pro 6000.
Compare Hardware Specifications
| H200 | RTX Pro 6000 | |
|---|---|---|
| GPU Type | H200 | RTX Pro 6000 |
| VRAM per GPU | 141 GB | 96 GB |
| Manufacturer | NVIDIA | NVIDIA |
| Architecture | Hopper | Blackwell |
| Interconnect | SXM5 | PCIe Gen5 |
| Memory Bandwidth | 4.8 TB/s | 1.59 TB/s |
| FP16 TFLOPS | 267.6 TFLOPS (4:1) | 126.0 TFLOPS (1:1) |
| CUDA Cores | 16896 | 24064 |
| Tensor Cores | 528 (4th Gen) | 752 (5th Gen) |
| RT Cores | N/A | 188 (4th Gen) |
| Base Clock | 1500 MHz | 1860 MHz |
| Boost Clock | 1980 MHz | 2600 MHz |
| TDP | 350-700W | 400W |
| Process Node | TSMC 4N | TSMC 4N |
| Data Formats | FP8, INT8, BF16, FP16, TF32, FP32, FP64 | FP4, FP6, FP8, INT8, BF16, FP16, TF32, FP32 |
Compare Average On-Demand Pricing
| H200 | RTX Pro 6000 | |
|---|---|---|
| 1 GPU | $3.33 /hr | $1.70 /hr |
| 2 GPUs | $14.79 /hr | $3.30 /hr |
| 4 GPUs | $7.60 /hr | $6.60 /hr |
| 8 GPUs | $23.48 /hr | $14.11 /hr |
Frequently Asked Questions: H200 vs RTX Pro 6000
The main differences are VRAM (141 GB vs 96 GB), FP16 throughput (267.6 vs 126 TFLOPS), architecture (Hopper vs Blackwell). The H200 uses the Hopper architecture while the RTX Pro 6000 is based on Blackwell, giving each GPU different generational capabilities.
The H200 is generally better for large language model training due to its higher throughput and 141 GB of VRAM, which allows fitting larger models or larger batch sizes in a single pass. For smaller models or fine-tuning tasks where cost matters more, both GPUs can be effective.
On Shadeform, the RTX Pro 6000 is available from $1.25/hr. The H200 starts from $2.45/hr. Prices vary by provider, region, and contract length. Reserved commitments can reduce hourly costs significantly compared to on-demand pricing.
The H200 has more VRAM at 141 GB, compared to 96 GB on the RTX Pro 6000. Higher VRAM allows you to run larger models without quantization, use longer context windows, and process larger batch sizes — all of which improve throughput and reduce latency for memory-bound workloads.
Based on TFLOPS per dollar, the H200 offers better raw compute value at current Shadeform on-demand rates. However, the best choice depends on your specific workload — if you need the extra VRAM or throughput of the RTX Pro 6000, paying the premium may be justified by faster job completion and lower total cost.
The H200 is currently available across 7 cloud providers on Shadeform's network, compared to 7 for the RTX Pro 6000. Shadeform lets you deploy either GPU across all available providers from a single platform, so you can always find available capacity without manually checking each cloud.
Mixing different GPU types in a single training cluster is generally not recommended, as it creates performance bottlenecks where faster GPUs wait for slower ones. For best results, use a homogeneous cluster of either H200 or RTX Pro 6000. Shadeform supports on-demand clusters of up to 64 GPUs of the same type with no commitment required.
Explore H200 & RTX Pro 6000 Instances
Browse available instances with H200 and RTX Pro 6000 GPUs. Filter by provider, availability, and more to find the perfect instance for your needs.
Explore more GPU comparisons
Select any two GPUs to compare their specifications and explore pricing across providers.
