Specifications Compared
| Spec | H100 | RTX-A4000 |
|---|---|---|
| TDP | 700W | 140W |
| VRAM | 80-94 GB | 16 GB |
| CUDA Cores | 16,896 | 6,144 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ampere |
| Form Factors | SXM5, PCIe, 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 | 3,350 GB/s | 448 GB/s |
Performance Analysis
The H100 NVL's FP16 performance of 1979 TFLOPS dwarfs the RTX A4000's 19.2 TFLOPS by over 100 times, accelerating deep learning training where half-precision computations dominate. This disparity translates to training large models in hours on H100 NVL rather than days on A4000. FP32 performance shows the H100 NVL at 67 TFLOPS against 19.2 TFLOPS, benefiting scientific simulations and rendering.
Memory bandwidth defines workload feasibility: the H100 NVL's 3350 GB/s supports massive batch sizes in transformer models, preventing out-of-memory errors beyond what 80 to 94 GB VRAM enables. The A4000's 448 GB/s limits it to smaller batches with 16 GB VRAM. For inference, the H100 NVL's FP8 at 3958 TFLOPS enables high-throughput serving of quantized models, a capability the A4000 lacks.
Power draw reflects efficiency trade-offs: H100 NVL at 700W TDP suits dense clusters, while A4000's 140W fits single-node workstations.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 NVL
| 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 |
RTX A4000
| 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 H100 NVL
Select the H100 NVL for large-scale AI training and inference demanding over 80 GB VRAM, such as billion-parameter LLMs. Its 3350 GB/s bandwidth and 1979 TFLOPS FP16 handle datasets that crash on lesser GPUs. Cloud deployments from $1.40 per hour justify it for production pipelines.
High-performance computing tasks like molecular dynamics benefit from 67 TFLOPS FP32 and NVLink interconnects.
When to Choose the RTX A4000
Opt for the RTX A4000 in budget-constrained prototyping or visualization where 16 GB VRAM suffices. At $0.08 per hour, it delivers 19.2 TFLOPS FP16 for small model fine-tuning without overprovisioning.
Workstation users prioritize its 140W TDP and PCIe form factor for local setups avoiding cloud latency.
Use Cases
The H100 NVL's 1979 TFLOPS FP16 and 80 to 94 GB HBM3 VRAM manage massive parameter counts and datasets. The A4000's 16 GB limits it to toy models.
FP8 performance at 3958 TFLOPS on H100 NVL supports high-throughput quantized serving. A4000 lacks FP8 and sufficient bandwidth at 448 GB/s.
H100 NVL accommodates larger batch sizes via 3350 GB/s bandwidth for efficient fine-tuning of 70B models. A4000 suits only sub-7B models with 16 GB VRAM.
RTX A4000's 19.2 TFLOPS FP16 generates images quickly at $0.08 per hour. H100 NVL overkill for single-inference consumer tasks.
H100 NVL's 67 TFLOPS FP32 and NVLink excel in parallel simulations. A4000's 19.2 TFLOPS FP32 constrains complex workloads.
Frequently Asked Questions
What is the VRAM capacity of H100 NVL versus RTX A4000?▾
The H100 NVL offers 80 to 94 GB HBM3 VRAM. The RTX A4000 provides 16 GB GDDR6. This gap allows H100 NVL to load models exceeding 70 GB parameters.
How do cloud prices compare for H100 NVL and RTX A4000?▾
H100 NVL starts at $1.40 per hour, averaging $2.89 across nine offers. RTX A4000 begins at $0.08 per hour, averaging $0.37 across 28 offers. A4000 suits low-budget runs.
Which GPU has higher FP16 performance?▾
H100 NVL achieves 1979 TFLOPS FP16. RTX A4000 reaches 19.2 TFLOPS. The 100-fold difference speeds AI training dramatically on H100 NVL.
What are the memory bandwidth specs?▾
H100 NVL delivers 3350 GB/s with HBM3. RTX A4000 offers 448 GB/s GDDR6. Higher bandwidth on H100 NVL supports larger batches without slowdowns.
What is the TDP difference?▾
H100 NVL consumes 700W TDP for datacenter density. RTX A4000 uses 140W for workstation efficiency. Lower TDP makes A4000 easier for single-node power budgets.
Can RTX A4000 handle LLM inference?▾
RTX A4000 manages small LLMs up to 7B parameters with 16 GB VRAM. H100 NVL scales to 70B+ models via 80 to 94 GB and 3958 TFLOPS FP8.
Which is cheaper to rent, the H100 or the RTX A4000?▾
Cloud rental prices for both the H100 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 H100 have compared to the RTX A4000?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find H100 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 H100 and the RTX A4000?▾
The H100 uses the Hopper architecture (2022) while the RTX A4000 uses Ampere (2021). The H100 delivers 103.1x the FP16 throughput and 7.5x the memory bandwidth of the RTX A4000.