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
H200 NVL's FP16 throughput of 1979 TFLOPS crushes A4500's 19.2 TFLOPS, slashing training times for deep neural networks reliant on half-precision arithmetic by factors exceeding 100x. FP32 performance at 67 TFLOPS on H200 NVL outstrips A4500's 19.2 TFLOPS, enhancing precision-bound tasks like physics simulations. Inference benefits from H200 NVL's FP8 at 3958 TFLOPS for quantized models.
Bandwidth profoundly impacts usability: H200 NVL's 4800 GB/s sustains massive batch sizes in training, reducing I/O bottlenecks absent in A4500's 448 GB/s constraint, which caps effective model sizes. The 141 GB VRAM on H200 NVL loads enormous models wholly, versus A4500's 16 GB forcing sharding or downsizing.
NVLink and PCIe 5.0 on H200 NVL enable seamless multi-GPU clusters, while A4500's PCIe form factor limits scaling, amplifying the performance chasm in distributed workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H200 NVL
| 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 | ||
 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 | 4×NVIDIA RTX A4000 16GB VRAM | 16GB | 16 vCPU 86GB RAM 500GB Storage | Norway | $0.15/GPU/hr $0.60/hr total (4×) | 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 | ||
Hyperstack | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | Available |
When to Choose the H200 NVL
NVIDIA H200 NVL shines for large-scale AI endeavors like training billion-plus parameter LLMs, where 141 GB HBM3e VRAM and 4800 GB/s bandwidth manage full-precision datasets without truncation. Its 1979 TFLOPS FP16 and NVLink interconnect accelerate multi-node clusters, suiting enterprise cloud deployments from $0.50 per hour.
Production inference for high-concurrency services leverages 3958 TFLOPS FP8 and 700W TDP efficiency under load.
When to Choose the RTX A4500
NVIDIA RTX A4500 fits economical prototyping, visualization, and moderate ML tasks with 16 GB GDDR6 and 19.2 TFLOPS FP32 at a 140W TDP. Cloud access from $0.10 per hour makes it ideal for individual developers or small teams avoiding H200 NVL's scale.
It excels in single-GPU scenarios like CAD rendering or lightweight fine-tuning where PCIe simplicity suffices.
Use Cases
H200 NVL's 141 GB HBM3e VRAM and 1979 TFLOPS FP16 support full loading and rapid iteration on trillion-parameter models. RTX A4500's 16 GB limits scale severely.
3958 TFLOPS FP8 and 4800 GB/s bandwidth on H200 NVL deliver high-throughput serving for production. A4500's 19.2 TFLOPS FP16 constrains concurrency.
RTX A4500 handles small-to-medium models efficiently at $0.10 per hour with 16 GB VRAM. H200 NVL accelerates large fine-tuning via 67 TFLOPS FP32.
A4500's 19.2 TFLOPS FP32 and 448 GB/s bandwidth suffice for image generation pipelines at low $0.19 average cost. H200 NVL overkill for single-instance use.
H200 NVL's 67 TFLOPS FP32 and PCIe 5.0 excel in complex simulations with large datasets. A4500's 19.2 TFLOPS suits simpler computations only.
Frequently Asked Questions
What is the VRAM capacity of NVIDIA H200 NVL versus RTX A4500?▾
H200 NVL provides 141 GB HBM3e VRAM for massive models. RTX A4500 offers 16 GB GDDR6, adequate for smaller workloads. This gap determines feasibility for large-scale AI.
How do FP16 performance levels compare?▾
H200 NVL achieves 1979 TFLOPS FP16, over 100x the RTX A4500's 19.2 TFLOPS. This accelerates training dramatically on H200 NVL. Inference sees similar boosts.
What are the cloud pricing differences?▾
H200 NVL starts at $0.50 per hour, averaging $2.24 across 3 offers. RTX A4500 begins at $0.10, averaging $0.19 across 4 offers. Budget drives A4500 choice.
Which has higher memory bandwidth?▾
H200 NVL delivers 4800 GB/s, enabling large batch sizes. RTX A4500 reaches 448 GB/s, limiting throughput. Bandwidth scales training efficiency.
What are the TDP ratings?▾
H200 NVL consumes 700W for peak performance. RTX A4500 uses 140W, favoring power-sensitive setups. Datacenter cooling suits H200 NVL.
Is RTX A4500 suitable for LLM training?▾
RTX A4500's 16 GB VRAM and 19.2 TFLOPS FP16 handle small LLMs only. H200 NVL's 141 GB and 1979 TFLOPS are required for production-scale training.
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.