Specifications Compared
| Spec | A100 | GB300 |
|---|---|---|
| TDP | 400W | 1400W |
| VRAM | 40-80 GB | 262-288 GB |
| CUDA Cores | 6,912 | Not published |
| FP4 (dense) | Not published | 13,500 TFLOPS |
| FP8 (dense) | Not published | 4,500 TFLOPS |
| Memory Type | HBM2e | HBM3e |
| Architecture | Ampere | Blackwell Ultra |
| FP16 (dense) | 312 TFLOPS | 2,250 TFLOPS |
| Form Factors | SXM4, PCIe | SXM6 |
| INT8 (dense) | 624 TOPS | 187.5 TOPS |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | NVLink, PCIe 6.0, InfiniBand |
| Tensor Cores | 432 | Not published |
| FP32 Performance | 19.5 TFLOPS | 75 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 1.25 TFLOPS |
| Memory Bandwidth | 2,039 GB/s | 8,000 GB/s |
| FP4 (with sparsity) | Not published | 18,000 TFLOPS |
| FP8 (with sparsity) | Not published | 9,000 TFLOPS |
| FP16 (with sparsity) | 624 TFLOPS | 4,500 TFLOPS |
| INT8 (with sparsity) | 1,248 TOPS | 375 TOPS |
Performance Analysis
Dense FP16 throughput on the GB300 measures 2250 TFLOPS against 312 TFLOPS on the A100 which translates to substantially higher throughput for matrix operations during training and inference when both figures are treated as dense. The same pattern holds for sparse FP16 where the GB300 reaches 4500 TFLOPS versus 624 TFLOPS on the A100. Memory bandwidth of 8000 GB/s on the GB300 compared to 2039 GB/s on the A100 permits larger batch sizes before memory capacity or transfer limits are reached in workloads that move large tensors.
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 |
|---|---|---|---|---|---|
| LeaderGPU | The Netherlands | 8 | $0.68 | $5.42 | Deploy |
| Vast.ai | Czechia, CZ | 1 | $0.73 | — | Deploy |
| ThunderCompute | USA | 2 | $1.09 | $2.18 | Deploy |
| Massed Compute | us-central-3 | 1 | $1.35 | — | Deploy |
| Hyperstack | CANADA-1 | 2 | $1.35 | $2.70 | Deploy |
10 providers in stock, 35 offers (cheapest per provider shown). All A100 offers, price history and alerts
GB300
GB300 is not offered on-demand by any provider we track right now. See the GB300 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: $0.68/GPU-hr.
QuantaCloud
Comparing B-series options? Get one quote for all of them.
Skip the per-provider sales calls. Reserved and cluster B-series configurations from 16 to 1024+ GPUs with InfiniBand fabric, 3 to 12 month terms. One quote at partner rates, 24h turnaround.
When to Choose the A100
The A100 suits environments where power delivery is constrained to 400W or where existing SXM4 and PCIe infrastructure must be retained. Its 40-80 GB HBM2e configuration and 2039 GB/s bandwidth remain adequate for moderate scale fine tuning jobs that do not require the 262-288 GB capacity of newer cards.
When to Choose the GB300
The GB300 fits deployments that need 2250 TFLOPS dense FP16 or 8000 GB/s bandwidth to support large context lengths and high throughput inference. Its 262-288 GB HBM3e memory and 1400W TDP enable workloads that exceed the limits of the A100 40-80 GB and 400W envelope.
Use Cases
The GB300 supplies 2250 TFLOPS dense FP16 and 8000 GB/s bandwidth which exceed the A100 312 TFLOPS and 2039 GB/s values for large scale training runs.
Higher dense FP16 performance at 2250 TFLOPS and greater memory capacity of 262-288 GB on the GB300 allow larger batch inference compared to the A100.
Both GPUs handle fine tuning with the A100 312 TFLOPS dense FP16 sufficient for smaller models while the GB300 2250 TFLOPS dense FP16 accelerates larger ones.
The GB300 8000 GB/s bandwidth and 262-288 GB VRAM support higher resolution generation workloads beyond the A100 2039 GB/s and 40-80 GB limits.
FP32 throughput of 75 TFLOPS on the GB300 surpasses the A100 19.5 TFLOPS for precision heavy simulations that rely on that format.
Frequently Asked Questions
What is the memory difference between A100 and GB300?▾
The A100 offers 40-80 GB HBM2e while the GB300 provides 262-288 GB HBM3e. This difference directly affects the maximum model size that fits without partitioning across multiple GPUs.
How does FP16 performance compare between the two GPUs?▾
Dense FP16 reaches 312 TFLOPS on the A100 and 2250 TFLOPS on the GB300. Sparse FP16 reaches 624 TFLOPS on the A100 and 4500 TFLOPS on the GB300.
What TDP values apply to the A100 and GB300?▾
The A100 TDP is rated at 400W while the GB300 TDP is rated at 1400W. These power figures influence rack level cooling and power delivery requirements.
How does memory bandwidth affect workloads on these GPUs?▾
The A100 provides 2039 GB/s bandwidth and the GB300 provides 8000 GB/s bandwidth. Higher bandwidth on the GB300 reduces data movement stalls during large tensor operations.
Which is cheaper to rent, the A100 or the GB300?▾
Cloud rental prices for both the A100 and GB300 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 GB300?▾
The A100 has 40 to 80 GB of HBM2e memory. The GB300 has 262 to 288 GB of HBM3e memory.
Can I find A100 and GB300 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 GB300?▾
The A100 uses the Ampere architecture (2020) while the GB300 uses Blackwell Ultra (2025). The GB300 delivers 7.2x the dense FP16 throughput (2,250 vs 312 TFLOPS, both without sparsity) and 3.9x the memory bandwidth of the A100.
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 GB300. 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 GB300Every 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.