Specifications Compared
| Spec | A100 | MI355X |
|---|---|---|
| TDP | 400W | 1400W |
| VRAM | 40-80 GB | 288 GB |
| CUDA Cores | 6,912 | Not published |
| FP4 (dense) | Not published | 10,100 TFLOPS |
| FP8 (dense) | Not published | 5,000 TFLOPS |
| Memory Type | HBM2e | HBM3e |
| Architecture | Ampere | CDNA 4 |
| FP16 (dense) | 312 TFLOPS | 2,500 TFLOPS |
| Form Factors | SXM4, PCIe | OAM |
| INT8 (dense) | 624 TOPS | 5,000 TOPS |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | Infinity Fabric, PCIe 5.0 |
| Tensor Cores | 432 | Not published |
| FP32 Performance | 19.5 TFLOPS | 157.3 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 78.6 TFLOPS |
| Memory Bandwidth | 2,039 GB/s | 8,000 GB/s |
| FP8 (with sparsity) | Not published | 10,100 TFLOPS |
| FP16 (with sparsity) | 624 TFLOPS | 5,000 TFLOPS |
| INT8 (with sparsity) | 1,248 TOPS | 10,100 TOPS |
Performance Analysis
Dense FP16 performance reaches 312 TFLOPS on the A100 and 2500 TFLOPS on the MI355X. The eightfold increase in dense FP16 throughput allows the MI355X to complete matrix operations in fewer cycles during both training and inference phases. FP32 throughput follows a similar eightfold ratio with 19.5 TFLOPS on the A100 versus 157.3 TFLOPS on the MI355X. Memory bandwidth four times higher on the MI355X supports larger batch sizes without swapping data to host memory. Sparse FP16 figures scale to 624 TFLOPS on the A100 and 5000 TFLOPS on the MI355X preserving the same eightfold ratio.
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 |
| ThunderCompute | USA | 1 | $1.09 | — | Deploy |
| Massed Compute | us-central-3 | 2 | $1.35 | $2.70 | Deploy |
| Hyperstack | CANADA-1 | 1 | $1.35 | — | Deploy |
| QuantaCloud | us-midwest-2 | 2 | $1.48 | $2.95 | Deploy |
10 providers in stock, 35 offers (cheapest per provider shown). All A100 offers, price history and alerts
MI355X
MI355X is not offered on-demand by any provider we track right now. See the MI355X 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 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 fits environments where power limits constrain deployment to 400W per card. Its 40 GB to 80 GB VRAM configuration supports moderate model sizes that fit within established software stacks. Lower TDP values reduce cooling requirements in dense rack installations compared with the 1400W rating of the MI355X.
When to Choose the MI355X
The MI355X suits workloads that require 288 GB of VRAM to hold entire large models in memory. Its 8000 GB/s bandwidth enables higher throughput on dense FP16 workloads rated at 2500 TFLOPS. The 157.3 TFLOPS FP32 rating accelerates scientific kernels that rely on full precision calculations.
Use Cases
The MI355X supplies 2500 TFLOPS dense FP16 and 288 GB VRAM which accommodate larger batch sizes than the 312 TFLOPS and 40 GB to 80 GB on the A100.
Dense FP16 throughput of 2500 TFLOPS on the MI355X reduces latency for token generation compared with 312 TFLOPS on the A100.
The 8000 GB/s bandwidth on the MI355X supports rapid gradient updates on models that exceed the 80 GB limit of the A100.
The 400W TDP of the A100 allows denser packing in inference clusters where the 1400W rating of the MI355X increases power draw.
FP32 performance of 157.3 TFLOPS on the MI355X accelerates double precision workloads beyond the 19.5 TFLOPS available on the A100.
Frequently Asked Questions
What is the FP16 dense performance difference between A100 and MI355X?▾
The A100 delivers 312 TFLOPS dense FP16 while the MI355X delivers 2500 TFLOPS dense FP16. This produces an eightfold throughput advantage for the MI355X on matrix heavy operations.
What TDP values apply to the A100 and MI355X?▾
The A100 carries a 400W TDP rating and the MI355X carries a 1400W TDP rating. System designers must account for the higher power draw when scaling the MI355X.
Which GPU offers higher memory bandwidth?▾
The MI355X reaches 8000 GB/s while the A100 reaches 2039 GB/s. The fourfold bandwidth increase supports larger batches during training runs.
How does FP32 performance compare?▾
The A100 provides 19.5 TFLOPS FP32 and the MI355X provides 157.3 TFLOPS FP32. The eightfold difference favors the MI355X for precision sensitive scientific codes.
Which is cheaper to rent, the A100 or the MI355X?▾
Cloud rental prices for both the A100 and MI355X 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 MI355X?▾
The A100 has 40 to 80 GB of HBM2e memory. The MI355X has 288 GB of HBM3e memory.
Can I find A100 and MI355X 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 MI355X?▾
The A100 uses the Ampere architecture (2020) while the MI355X uses CDNA 4 (2025). The MI355X delivers 8.0x the dense FP16 throughput (2,500 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 MI355X. 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 MI355XEvery 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.