Specifications Compared
| Spec | H200 | RTX-A4000 |
|---|---|---|
| TDP | 700W | 140W |
| VRAM | 141 GB | 16 GB |
| CUDA Cores | 16,896 | 6,144 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Hopper | Ampere |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 192 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 19.2 TFLOPS |
| FP32 Performance | 67 TFLOPS | 19.2 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 4,800 GB/s | 448 GB/s |
Performance Analysis
The H200 SXM vastly outpaces the RTX A4500 in compute: 1979 TFLOPS FP16 versus 19.2 TFLOPS represents over 100 times the half-precision performance critical for AI training and inference. Its FP32 at 67 TFLOPS still exceeds the A4500's 19.2 TFLOPS by 3.5 times, but the FP16-to-FP32 ratio on H200 SXM underscores tensor core optimizations for deep learning, while the A4500's balanced metrics suit general compute and graphics.
Memory differences profoundly impact workloads: 141 GB HBM3e VRAM on H200 SXM enables massive models and batch sizes impossible on 16 GB GDDR6, preventing out-of-memory errors in LLM training. The 4800 GB/s bandwidth versus 448 GB/s ensures data flows rapidly, supporting larger batches without stalling training or inference throughput.
Power draw reflects scale: H200 SXM's 700W TDP demands robust cooling and infrastructure, ideal for clusters, whereas A4500's 140W fits edge or desktop use with minimal overhead.
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 |
RTX A4500
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Tallinn, Harjumaa | $0.08/GPU/hr | Available | ||
TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Tallinn, Harjumaa | $0.10/GPU/hr | Available | ||
TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Southfield, Michigan | $0.11/GPU/hr | Available | ||
 Vast.ai | 8×NVIDIA RTX A4000 16GB VRAM | 16GB | 80 vCPU 201GB RAM 1698GB Storage | United Kingdom | $0.15/GPU/hr $1.17/hr total (8×) | Available | ||
 Hyperstack | 2×NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 43GB RAM 200GB Storage | Norway | $0.15/GPU/hr $0.30/hr total (2×) | Available |
When to Choose the H200 SXM
The H200 SXM excels in large-scale AI training and inference where 141 GB VRAM handles models exceeding 100 billion parameters. Its 1979 TFLOPS FP16 and 4800 GB/s bandwidth accelerate workflows like LLM fine-tuning, justifying $1.19 per hour starting costs for enterprises prioritizing speed over budget.
When to Choose the RTX A4500
The RTX A4500 suits cost-sensitive tasks such as Stable Diffusion generation or small-scale inference at $0.10 per hour. Its 16 GB VRAM and 140W TDP enable efficient single-GPU rendering or scientific simulations without the H200 SXM's infrastructure needs.
Use Cases
H200 SXM's 141 GB VRAM and 1979 TFLOPS FP16 support massive parameter models and large batches. RTX A4500's 16 GB VRAM cannot accommodate such scales.
The 4800 GB/s bandwidth and FP8 at 3958 TFLOPS on H200 SXM enable high-throughput serving of large LLMs. A4500 lacks capacity for production-scale inference.
Fine-tuning benefits from H200 SXM's 67 TFLOPS FP32 and vast VRAM for efficient gradient computations on big datasets. A4500 struggles with memory constraints.
RTX A4500's 16 GB GDDR6 suffices for image generation at 19.2 TFLOPS FP16 with low $0.10 per hour cost. H200 SXM overkill for consumer-scale diffusion.
A4500 handles modest simulations at 140W TDP affordably; H200 SXM scales to complex HPC with NVLink but at higher power and cost.
Frequently Asked Questions
Which GPU has more VRAM, H200 SXM or RTX A4500?▾
The H200 SXM provides 141 GB HBM3e VRAM. The RTX A4500 has 16 GB GDDR6. This gap allows H200 SXM to load enormous models without swapping.
What are the cloud pricing differences?▾
H200 SXM starts at $1.19 per hour, averaging $3.83 per hour across 21 offers. RTX A4500 begins at $0.10 per hour, averaging $0.19 per hour across 4 offers.
How do FP16 performances compare?▾
H200 SXM delivers 1979 TFLOPS FP16. RTX A4500 reaches 19.2 TFLOPS. This yields over 100-fold advantage for H200 SXM in AI acceleration.
What is the memory bandwidth gap?▾
H200 SXM offers 4800 GB/s with HBM3e. RTX A4500 provides 448 GB/s GDDR6. Higher bandwidth on H200 SXM boosts large-batch processing.
Which has higher TDP?▾
H200 SXM consumes 700W. RTX A4500 uses 140W. H200 SXM requires datacenter power infrastructure.
Can RTX A4500 handle AI inference?▾
RTX A4500 supports inference on models fitting 16 GB VRAM at 19.2 TFLOPS FP16. It suits small-scale deployments but not large LLMs.
Which is cheaper to rent, the H200 or the RTX A4000?▾
Cloud rental prices for both the H200 and RTX A4000 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 RTX A4000?▾
The H200 has 141 GB of HBM3e memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find H200 and RTX A4000 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 RTX A4000?▾
The H200 uses the Hopper architecture (2024) while the RTX A4000 uses Ampere (2021). The H200 delivers 103.1x the FP16 throughput and 10.7x the memory bandwidth of the RTX A4000.