Specifications Compared
| Spec | A16 | MI300X |
|---|---|---|
| TDP | 250W | 750W |
| VRAM | 16 GB | 192 GB |
| CUDA Cores | 1,280 | Not published |
| FP8 (dense) | Not published | 2,614.9 TFLOPS |
| Memory Type | GDDR6 | HBM3 |
| Architecture | Ampere | CDNA 3 |
| FP16 (dense) | 17.9 TFLOPS | 1,307.4 TFLOPS |
| Form Factors | PCIe | OAM |
| INT8 (dense) | 35.9 TOPS | 2,614.9 TOPS |
| Interconnect | PCIe 4.0 | Infinity Fabric, PCIe 5.0 |
| Tensor Cores | 40 | Not published |
| FP32 Performance | 4.5 TFLOPS | 163.4 TFLOPS |
| FP64 Performance | Not published | 81.7 TFLOPS |
| Memory Bandwidth | 200 GB/s | 5,300 GB/s |
| FP8 (with sparsity) | Not published | 5,229.8 TFLOPS |
| FP16 (with sparsity) | 35.9 TFLOPS | 2,614.9 TFLOPS |
| INT8 (with sparsity) | 71.8 TOPS | 5,229.8 TOPS |
Performance Analysis
The MI300X dense FP16 performance of 1307.4 TFLOPS exceeds the A16 dense FP16 performance of 17.9 TFLOPS by a wide margin and this gap supports faster training iterations or larger model handling on the MI300X. The MI300X FP32 performance of 163.4 TFLOPS likewise surpasses the A16 FP32 performance of 4.5 TFLOPS which benefits precision sensitive workloads. Memory bandwidth of 5300 GB/s on the MI300X versus 200 GB/s on the A16 permits substantially larger batch sizes during inference or training sessions. When sparsity is applied the MI300X FP16 figure of 2614.9 TFLOPS remains far above the A16 FP16 figure of 35.9 TFLOPS and the same pattern holds for INT8 dense figures of 2614.9 TOPS versus 35.9 TOPS.
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.
A16
A16 is not offered on-demand by any provider we track right now. See the A16 rental page for last-seen listed prices and a price alert.
MI300X
MI300X is not offered on-demand by any provider we track right now. See the MI300X rental page for last-seen listed prices and a price alert.
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When to Choose the A16
The A16 suits deployments where power draw must stay at 250W and where 16 GB GDDR6 memory meets model size requirements. Its PCIe 4.0 interface and 4.5 TFLOPS FP32 rating fit smaller scale inference tasks that do not require the 192 GB capacity of the MI300X.
When to Choose the MI300X
The MI300X fits scenarios that demand 192 GB HBM3 memory and 5300 GB/s bandwidth to accommodate large models with dense FP16 performance of 1307.4 TFLOPS. Its 163.4 TFLOPS FP32 rating and support for Infinity Fabric interconnect address high throughput training or inference needs beyond the A16 limits.
Use Cases
The MI300X supplies 1307.4 TFLOPS dense FP16 performance and 192 GB memory which exceed the A16 17.9 TFLOPS dense FP16 performance and 16 GB memory.
The MI300X 5300 GB/s bandwidth and 2614.9 TFLOPS dense FP8 performance enable larger batches than the A16 200 GB/s bandwidth and lack of published FP8 figures.
The MI300X 163.4 TFLOPS FP32 performance and 192 GB capacity support fine tuning workloads that surpass A16 4.5 TFLOPS FP32 performance and 16 GB capacity.
The MI300X 2614.9 TFLOPS dense INT8 performance handles diffusion tasks more effectively than the A16 35.9 TOPS dense INT8 performance.
The MI300X 163.4 TFLOPS FP32 rating and 750W TDP configuration provide higher throughput than the A16 4.5 TFLOPS FP32 rating and 250W TDP.
Frequently Asked Questions
How does memory bandwidth compare on A16 versus MI300X?▾
The A16 provides 200 GB/s bandwidth and the MI300X provides 5300 GB/s bandwidth. The higher figure on the MI300X supports larger batch processing.
What are the dense FP16 ratings for each GPU?▾
The A16 lists 17.9 TFLOPS dense FP16 and the MI300X lists 1307.4 TFLOPS dense FP16. These numbers determine training speed for many workloads.
Which GPU has higher power consumption?▾
The MI300X TDP is 750W while the A16 TDP is 250W. Power budgets therefore favor the A16 in constrained environments.
Does the MI300X support FP8?▾
The MI300X lists 2614.9 TFLOPS dense FP8 while the A16 has no published FP8 figure. This gives the MI300X an advantage in low precision inference.
What interconnect does each card use?▾
The A16 uses PCIe 4.0 and the MI300X uses Infinity Fabric plus PCIe 5.0. The MI300X interconnect options suit multi GPU scaling better.
Which is cheaper to rent, the A16 or the MI300X?▾
Cloud rental prices for both the A16 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 A16 have compared to the MI300X?▾
The A16 has 16 GB of GDDR6 memory. The MI300X has 192 GB of HBM3 memory.
Can I find A16 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 A16 and the MI300X?▾
The A16 uses the Ampere architecture (2021) while the MI300X uses CDNA 3 (2023). The MI300X delivers 73.0x the dense FP16 throughput (1,307.4 vs 17.9 TFLOPS, both without sparsity) and 26.5x the memory bandwidth of the A16.
Rent these GPUs
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Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the A16 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 A16Every 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.