Specifications Compared
| Spec | A30 | MI300X |
|---|---|---|
| TDP | 165W | 750W |
| VRAM | 24 GB | 192 GB |
| CUDA Cores | 3,584 | Not published |
| FP8 (dense) | Not published | 2,614.9 TFLOPS |
| Memory Type | HBM2 | HBM3 |
| Architecture | Ampere | CDNA 3 |
| FP16 (dense) | 165 TFLOPS | 1,307.4 TFLOPS |
| Form Factors | PCIe | OAM |
| INT8 (dense) | 330 TOPS | 2,614.9 TOPS |
| Interconnect | NVLink, PCIe 4.0 | Infinity Fabric, PCIe 5.0 |
| Tensor Cores | 224 | Not published |
| FP32 Performance | 10.3 TFLOPS | 163.4 TFLOPS |
| FP64 Performance | 5.2 TFLOPS | 81.7 TFLOPS |
| Memory Bandwidth | 933 GB/s | 5,300 GB/s |
| FP8 (with sparsity) | Not published | 5,229.8 TFLOPS |
| FP16 (with sparsity) | 330 TFLOPS | 2,614.9 TFLOPS |
| INT8 (with sparsity) | 661 TOPS | 5,229.8 TOPS |
Performance Analysis
The FP16 dense figure of 165 TFLOPS on the A30 versus the FP16 dense figure of 1307.4 TFLOPS on the MI300X produces an eightfold difference that shortens training iteration times for large models. The FP16 with sparsity figure of 330 TFLOPS on the A30 versus the FP16 with sparsity figure of 2614.9 TFLOPS on the MI300X yields a similar eightfold gap that benefits inference throughput when sparsity patterns are present. Memory bandwidth of 933 GB/s on the A30 versus 5300 GB/s on the MI300X limits sustainable batch sizes on the former while the latter supports eight times the VRAM capacity for larger context windows.
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.
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.
MI300X
1 provider in stock, 1 offer. All MI300X offers, price history and alerts
Notify me when A30 drops below a price
One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold.
QuantaCloud
Comparing providers? We broker across all of them.
Stop tab-switching between pricing pages. Tell us what you need, 16+ GPUs reserved or cluster capacity, and we return one quote at partner rates within 24 hours.
When to Choose the A30
The A30 suits deployments that prioritize 165W TDP over higher throughput. Organizations running FP32 workloads at 10.3 TFLOPS or INT8 dense workloads at 330 TOPS select the A30 when PCIe form factor and NVLink interconnect fit existing server layouts.
When to Choose the MI300X
The MI300X suits workloads that require 192 GB HBM3 capacity and 5300 GB/s bandwidth. Teams executing FP16 dense operations at 1307.4 TFLOPS or FP8 dense operations at 2614.9 TFLOPS choose the MI300X when OAM form factor and Infinity Fabric interconnect align with scale-out clusters.
Use Cases
The MI300X supplies 1307.4 TFLOPS FP16 dense and 192 GB memory that accommodate larger models than the A30 165 TFLOPS FP16 dense and 24 GB memory.
The MI300X delivers 2614.9 TFLOPS FP16 with sparsity and 5300 GB/s bandwidth that sustain higher token rates than the A30 330 TFLOPS FP16 with sparsity and 933 GB/s bandwidth.
The MI300X 192 GB capacity supports fine-tuning batches that exceed the 24 GB limit of the A30 while providing 163.4 TFLOPS FP32 for optimizer states.
The A30 INT8 dense performance of 330 TOPS meets moderate resolution needs at 165W TDP while the MI300X handles higher resolutions with 2614.9 TFLOPS FP8 dense.
The MI300X FP32 performance of 163.4 TFLOPS exceeds the A30 FP32 performance of 10.3 TFLOPS for double-precision adjacent kernels.
Frequently Asked Questions
What is the memory difference between A30 and MI300X?▾
The A30 provides 24 GB HBM2 while the MI300X provides 192 GB HBM3. This eightfold capacity increase allows the MI300X to hold larger models without partitioning.
How does FP16 performance compare between the two GPUs?▾
The A30 reaches 165 TFLOPS FP16 dense and 330 TFLOPS FP16 with sparsity. The MI300X reaches 1307.4 TFLOPS FP16 dense and 2614.9 TFLOPS FP16 with sparsity.
Which GPU has higher memory bandwidth?▾
The MI300X provides 5300 GB/s bandwidth compared with 933 GB/s on the A30. The higher figure supports larger batch sizes during training and inference.
What TDP values do the A30 and MI300X carry?▾
The A30 operates at 165W TDP while the MI300X operates at 750W TDP. Power limited environments therefore favor the A30.
Do both GPUs support NVLink or Infinity Fabric?▾
The A30 includes NVLink interconnect while the MI300X includes Infinity Fabric interconnect. Each interconnect matches the respective vendor ecosystem.
Which is cheaper to rent, the A30 or the MI300X?▾
Cloud rental prices for both the A30 and MI300X 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 A30 have compared to the MI300X?▾
The A30 has 24 GB of HBM2 memory. The MI300X has 192 GB of HBM3 memory.
Can I find A30 and MI300X 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 A30 and the MI300X?▾
The A30 uses the Ampere architecture (2021) while the MI300X uses CDNA 3 (2023). The MI300X delivers 7.9x the dense FP16 throughput (1,307.4 vs 165 TFLOPS, both without sparsity) and 5.7x 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 A30 and the MI300X. 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 A30Every current offer by provider, daily price history and a price alert.
- Rent MI300XEvery 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.