Specifications Compared
| Spec | H200 | TITAN-V |
|---|---|---|
| TDP | 700W | 250W |
| VRAM | 141 GB | 12 GB |
| CUDA Cores | 16,896 | 5,120 |
| Memory Type | HBM3e | HBM2 |
| Architecture | Hopper | Volta |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 640 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 13.8 TFLOPS |
| FP32 Performance | 67 TFLOPS | 13.8 TFLOPS |
| FP64 Performance | 34 TFLOPS | 6.9 TFLOPS |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 4,800 GB/s | 653 GB/s |
Performance Analysis
Compute disparities define real-world applicability: the H200's 1979 TFLOPS FP16 dwarfs the TITAN V's 13.8 TFLOPS, accelerating deep learning training by over 140 times in half-precision. FP32 performance of 67 TFLOPS on H200 versus 13.8 TFLOPS on TITAN V benefits simulations and graphics rendering. FP8 at 3958 TFLOPS on H200 enables efficient inference for quantized models, absent on TITAN V. This delta means H200 handles massive neural networks, while TITAN V suits small-scale prototyping. Memory specs transform batch processing: 141 GB VRAM on H200 supports batch sizes for billion-parameter LLMs, versus 12 GB on TITAN V limiting to toy models. Bandwidth of 4800 GB/s on H200 sustains high throughput without bottlenecks, compared to 653 GB/s on TITAN V causing stalls in data-heavy inference. Power draw of 700W TDP on H200 demands datacenter cooling, while 250W on TITAN V fits desktops. Interconnects like NVLink on H200 enable multi-GPU scaling, unavailable on TITAN V.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H200 SXM
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 960GB Storage | Atlanta | $1.99/GPU/hr | Available | ||
 Lambda Labs | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 64 vCPU 432GB RAM 4096GB Storage | Virginia | $2.29/GPU/hr | Available | ||
 Nebius | NVIDIA H200 SXM 141GB VRAM | 141GB | 16 vCPU 200GB RAM | 🌍Europe | $2.45/GPU/hr | |||
 CoreWeave | 8×NVIDIA H200 SXM 141GB VRAM | 141GB | 128 vCPU 0GB RAM 61440GB Storage | United States | $2.58/GPU/hr $20.64/hr total (8×) | |||
 Ori | 4×NVIDIA H200 SXM 141GB VRAM | 141GB | 96 vCPU 960GB RAM 12000GB Storage | London | $3.50/GPU/hr $14.00/hr total (4×) | Available |
When to Choose the H200 SXM
Select the H200 for large-scale AI training and inference where 141 GB HBM3e VRAM accommodates models exceeding 100 billion parameters. Its 1979 TFLOPS FP16 and 4800 GB/s bandwidth excel in distributed setups via NVLink and InfiniBand. Cloud availability from $1.19 per hour suits enterprises needing on-demand scalability across 20 providers.
When to Choose the TITAN V
Choose the TITAN V for legacy Volta-optimized codebases or small-scale research on PCIe desktops with 250W TDP constraints. Its 12 GB HBM2 suffices for models under 1 billion parameters at 13.8 TFLOPS FP16. Used hardware offers low upfront costs without cloud dependency, ideal for hobbyists or offline prototyping.
Use Cases
H200's 141 GB VRAM and 1979 TFLOPS FP16 enable training billion-parameter models with large batches. TITAN V's 12 GB limits it to tiny datasets.
3958 TFLOPS FP8 and 4800 GB/s bandwidth on H200 support high-throughput serving. TITAN V's 13.8 TFLOPS FP16 causes latency in production.
67 TFLOPS FP32 and vast VRAM on H200 handle parameter-efficient tuning at scale. TITAN V restricts to basic fine-tuning with 12 GB.
H200's memory bandwidth accelerates diffusion steps for high-resolution generation. TITAN V struggles with VRAM limits on complex prompts.
TITAN V's 250W TDP and PCIe form factor fit desktop simulations at 13.8 TFLOPS FP32. H200's 700W overkill for modest workloads.
Frequently Asked Questions
What is the VRAM difference between H200 and TITAN V?▾
H200 provides 141 GB HBM3e VRAM, enabling large models. TITAN V offers 12 GB HBM2, suitable only for smaller workloads. This 11.75 times increase transforms AI scalability.
How do FP16 performances compare?▾
H200 achieves 1979 TFLOPS FP16 for rapid training. TITAN V delivers 13.8 TFLOPS, over 143 times slower. Inference benefits similarly from the gap.
What are the memory bandwidth specs?▾
H200 bandwidth reaches 4800 GB/s, sustaining high data flows. TITAN V provides 653 GB/s, bottlenecking large batches. The difference supports bigger models on H200.
Is TITAN V available in the cloud?▾
No live cloud offers exist for TITAN V. H200 SXM starts at $1.19 per hour, averaging $3.85 across 20 providers. TITAN V requires on-premises purchase.
What are the power requirements?▾
H200 TDP is 700W, for datacenters. TITAN V uses 250W, desktop-friendly. Choose based on infrastructure cooling.
Which has better interconnects?▾
H200 supports NVLink, PCIe 5.0, and InfiniBand for multi-GPU clusters. TITAN V lacks specified interconnects beyond PCIe. Scaling favors H200.
Which is cheaper to rent, the H200 or the TITAN V?▾
Cloud rental prices for both the H200 and TITAN V 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 H200 have compared to the TITAN V?▾
The H200 has 141 GB of HBM3e memory. The TITAN V has 12 GB of HBM2 memory.
Can I find H200 and TITAN V 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 H200 and the TITAN V?▾
The H200 uses the Hopper architecture (2024) while the TITAN V uses Volta (2017). The H200 delivers 143.4x the FP16 throughput and 7.4x the memory bandwidth of the TITAN V.