Specifications Compared
| Spec | A100 | A30 |
|---|---|---|
| TDP | 400W | 165W |
| VRAM | 40-80 GB | 24 GB |
| CUDA Cores | 6,912 | 3,584 |
| Memory Type | HBM2e | HBM2 |
| Architecture | Ampere | Ampere |
| FP16 (dense) | 312 TFLOPS | 165 TFLOPS |
| Form Factors | SXM4, PCIe | PCIe |
| INT8 (dense) | 624 TOPS | 330 TOPS |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | NVLink, PCIe 4.0 |
| Tensor Cores | 432 | 224 |
| FP32 Performance | 19.5 TFLOPS | 10.3 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 5.2 TFLOPS |
| Memory Bandwidth | 2,039 GB/s | 933 GB/s |
| FP16 (with sparsity) | 624 TFLOPS | 330 TFLOPS |
| INT8 (with sparsity) | 1,248 TOPS | 661 TOPS |
Performance Analysis
The A100 delivers dense FP16 performance of 312 TFLOPS against the A30 dense FP16 performance of 165 TFLOPS, producing a ratio that favors the A100 for training workloads where full precision matrices dominate. The same pattern holds for sparse figures, with the A100 at 624 TFLOPS and the A30 at 330 TFLOPS. Memory bandwidth differences affect batch sizes directly, as the A100 2039 GB/s figure supports larger simultaneous data movement than the A30 933 GB/s figure during inference passes. FP32 throughput follows the same ordering at 19.5 TFLOPS for the A100 versus 10.3 TFLOPS for the A30, confirming consistent scaling across dense tensor operations.
Current On-Demand Offers
Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.
A100
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Vast.ai | Slovenia, SI | 1 | $0.67 | — | Deploy |
| LeaderGPU | The Netherlands | 8 | $0.68 | $5.42 | Deploy |
| ThunderCompute | USA | 1 | $1.09 | — | Deploy |
| Massed Compute | us-central-3 | 1 | $1.35 | — | Deploy |
| Hyperstack | CANADA-1 | 2 | $1.35 | $2.70 | Deploy |
11 providers in stock, 47 offers (cheapest per provider shown). All A100 offers, price history and alerts
A30
A30 is not offered on-demand by any provider we track right now. See the A30 rental page for last-seen listed prices and a price alert.
Notify me when A100 drops below a price
One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.67/GPU-hr.
QuantaCloud
Comparing A100 providers? We broker across all of them.
Need 16+ A100s reserved for fine-tuning, simulation, or production inference? We quote volume pricing across multiple data center partners: one quote at partner rates, 24h turnaround.
When to Choose the A100
The A100 suits LLM training runs that require the 40 to 80 GB memory capacity and 2039 GB/s bandwidth to maintain large batch sizes. Its 312 TFLOPS dense FP16 rating and 19.5 TFLOPS FP32 rating accelerate matrix heavy workloads that exceed the limits of lower capacity cards.
When to Choose the A30
The A30 fits inference deployments where the 165 W TDP and 24 GB memory suffice for moderate batch sizes. Its 165 TFLOPS dense FP16 rating still supports production serving when power constraints limit total system draw below the 400 W level of the A100.
Use Cases
The A100 supplies 312 TFLOPS dense FP16 and 40 to 80 GB memory that accommodate the scale of full model training runs.
The A100 2039 GB/s bandwidth and 312 TFLOPS dense FP16 rating support larger concurrent batch processing than the A30 specifications allow.
The A100 19.5 TFLOPS FP32 and higher memory capacity handle gradient updates on models that exceed 24 GB limits.
Both GPUs provide sufficient dense FP16 performance for image generation workloads at the listed memory sizes.
The A100 19.5 TFLOPS FP32 rating and 2039 GB/s bandwidth accelerate simulation kernels beyond the A30 10.3 TFLOPS FP32 rating.
Frequently Asked Questions
What is the memory difference between A100 and A30?▾
The A100 offers 40 to 80 GB HBM2e while the A30 provides 24 GB HBM2, a gap that directly limits maximum model size on the A30.
How does FP16 performance compare on A100 versus A30?▾
The A100 reaches 312 TFLOPS dense FP16 and 624 TFLOPS with sparsity, whereas the A30 reaches 165 TFLOPS dense FP16 and 330 TFLOPS with sparsity.
Which GPU has higher memory bandwidth?▾
The A100 lists 2039 GB/s bandwidth compared with the A30 listing of 933 GB/s, affecting data movement rates during large tensor operations.
What are the power requirements for each card?▾
The A100 carries a 400 W TDP while the A30 carries a 165 W TDP, influencing total system power and cooling needs.
Can both GPUs use NVLink?▾
Both the A100 and A30 support NVLink interconnects along with PCIe 4.0, enabling multi GPU scaling on compatible systems.
Which GPU offers higher INT8 throughput?▾
The A100 provides 624 TOPS dense INT8 and 1248 TOPS with sparsity, exceeding the A30 figures of 330 TOPS dense INT8 and 661 TOPS with sparsity.
Which is cheaper to rent, the A100 or the A30?▾
Cloud rental prices for both the A100 and A30 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 A100 have compared to the A30?▾
The A100 has 40 to 80 GB of HBM2e memory. The A30 has 24 GB of HBM2 memory.
Can I find A100 and A30 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 A100 and the A30?▾
The A100 uses the Ampere architecture (2020) while the A30 uses Ampere (2021). The A100 delivers 1.9x the dense FP16 throughput (312 vs 165 TFLOPS, both without sparsity) and 2.2x the memory bandwidth of the A30.
Rent these GPUs
Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.
Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the A100 and the A30. Dense and sparse throughput are listed separately.
- Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
- The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
- Read how we collect the data, or report an error on this page.
Next steps
- Rent A100Every current offer by provider, daily price history and a price alert.
- Rent A30Every current offer by provider, daily price history and a price alert.
- GPU price indexHow on-demand prices for the major GPUs have moved, updated daily.
- All GPUsEvery GPU we track, with current lows and provider counts.