Specifications Compared
| Spec | H100 | RTX-A5000 |
|---|---|---|
| TDP | 700W | 230W |
| VRAM | 80-94 GB | 24 GB |
| CUDA Cores | 16,896 | 8,192 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ampere |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | NVLink |
| Tensor Cores | 528 | 256 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 27.8 TFLOPS |
| FP32 Performance | 67 TFLOPS | 27.8 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 768 GB/s |
Performance Analysis
H100's compute superiority shines in AI tasks: its 1979 TFLOPS FP16 vastly exceeds A5000's 27.8 TFLOPS, accelerating mixed-precision training by orders of magnitude. The FP32 rating of 67 TFLOPS on H100 doubles A5000's 27.8 TFLOPS, benefiting simulation-heavy workloads. FP8 at 3958 TFLOPS on H100 enables ultra-fast inference for quantized models, unavailable on A5000.
Memory specs dictate real-world scalability: H100's 3350 GB/s bandwidth and 80 to 94 GB VRAM support enormous batch sizes in training large language models, preventing out-of-memory errors common with A5000's 24 GB and 768 GB/s. Lower bandwidth on A5000 bottlenecks data throughput for high-resolution tasks. H100's 700W TDP demands robust cooling, versus A5000's efficient 230W.
These disparities mean H100 processes models 70 times faster in FP16-dominated training, while A5000 suffices for FP32-balanced inference at lower power.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 SXM5
| 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 A5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 4×NVIDIA RTX A5000 24GB VRAM | 24GB | 64 vCPU 224GB RAM 2256GB Storage | Romania | $0.23/GPU/hr $0.92/hr total (4×) | Available | ||
Vast.ai | NVIDIA RTX A5000 24GB VRAM | 24GB | 32 vCPU 101GB RAM 101GB Storage | Iceland | $0.24/GPU/hr | Available | ||
 RunPod | NVIDIA RTX A5000 24GB VRAM | 24GB | 9 vCPU 25GB RAM | 🌍global | $0.27/GPU/hr | |||
 Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.41/GPU/hr $3.28/hr total (8×) | |||
Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.46/GPU/hr $3.68/hr total (8×) |
When to Choose the H100 SXM5
Choose H100 SXM5 for large-scale AI training and inference where 80 to 94 GB HBM3 VRAM handles models exceeding 24 GB. Its 1979 TFLOPS FP16 and 3350 GB/s bandwidth enable massive batch sizes and rapid iterations in datacenter environments. High-end deployments across 34 cloud offers at $0.80 per hour justify the investment for throughput demands.
When to Choose the RTX A5000
Opt for RTX A5000 in cost-sensitive professional workflows fitting within 24 GB GDDR6 VRAM. Its 27.8 TFLOPS FP16/FP32 and 230W TDP suit single-node visualization, moderate fine-tuning, or edge deployments. Cloud pricing from $0.03 per hour across 32 offers delivers value for non-extreme scales.
Use Cases
H100's 80 to 94 GB HBM3 VRAM and 1979 TFLOPS FP16 support training massive models with large batches. RTX A5000's 24 GB limits scale for billion-parameter LLMs.
H100's 3958 TFLOPS FP8 and 3350 GB/s bandwidth deliver high-throughput serving. A5000's 27.8 TFLOPS FP16 suffices only for smaller models.
H100 handles parameter-efficient fine-tuning on large models with 67 TFLOPS FP32. A5000's 24 GB VRAM restricts dataset sizes.
RTX A5000's 24 GB GDDR6 manages most image generation at 27.8 TFLOPS FP16. H100 excels for high-resolution or batched production.
A5000's balanced 27.8 TFLOPS FP32/FP16 and low $0.03 per hour pricing fit simulations. H100's 700W TDP adds unnecessary overhead.
Frequently Asked Questions
What is the VRAM difference between H100 SXM5 and RTX A5000?▾
H100 SXM5 offers 80 to 94 GB HBM3 VRAM, far exceeding RTX A5000's 24 GB GDDR6. This enables H100 for massive models, while A5000 suits smaller datasets. Memory bandwidth follows suit at 3350 GB/s versus 768 GB/s.
Which GPU has higher FP16 performance?▾
H100 SXM5 achieves 1979 TFLOPS FP16, over 70 times RTX A5000's 27.8 TFLOPS. This gap accelerates AI training significantly. FP32 on H100 is 67 TFLOPS, also superior.
How do power requirements compare?▾
H100 SXM5 consumes 700W TDP, requiring datacenter infrastructure. RTX A5000 uses 230W, ideal for workstations. Efficiency favors A5000 for lighter loads.
What are the cloud pricing differences?▾
H100 SXM5 starts at $0.80 per hour, averaging $3.52 across 34 offers. RTX A5000 begins at $0.03 per hour, averaging $0.44 across 32 offers. Cost scales with performance.
Which supports NVLink interconnect?▾
Both GPUs support NVLink, alongside H100's PCIe 5.0 and InfiniBand options. H100 SXM5 form factors include SXM5 and NVL for multi-GPU scaling. RTX A5000 is PCIe-only.
Is H100 better for FP8 workloads?▾
H100 provides 3958 TFLOPS FP8, optimized for quantized inference. RTX A5000 lacks FP8 specs, relying on FP16 at 27.8 TFLOPS. This makes H100 ideal for efficient serving.
Which is cheaper to rent, the H100 or the RTX A5000?▾
Cloud rental prices for both the H100 and RTX A5000 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 A5000?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX A5000 has 24 GB of GDDR6 memory.
Can I find H100 and RTX A5000 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 A5000?▾
The H100 uses the Hopper architecture (2022) while the RTX A5000 uses Ampere (2021). The H100 delivers 71.2x the FP16 throughput and 4.4x the memory bandwidth of the RTX A5000.