Specifications Compared
| Spec | MI300X | RTX A4000 |
|---|---|---|
| TDP | 750W | 140W |
| VRAM | 192 GB | 16-20 GB |
| CUDA Cores | Not published | 6,144 |
| FP8 (dense) | 2,614.9 TFLOPS | Not published |
| Memory Type | HBM3 | GDDR6 |
| Architecture | CDNA 3 | Ampere |
| FP16 (dense) | 1,307.4 TFLOPS | Not published |
| Form Factors | OAM | PCIe |
| INT8 (dense) | 2,614.9 TOPS | Not published |
| Interconnect | Infinity Fabric, PCIe 5.0 | PCIe 4.0 |
| Tensor Cores | Not published | 192 |
| FP32 Performance | 163.4 TFLOPS | 19.2 TFLOPS |
| FP64 Performance | 81.7 TFLOPS | Not published |
| Memory Bandwidth | 5,300 GB/s | 448 GB/s |
| FP8 (with sparsity) | 5,229.8 TFLOPS | Not published |
| FP16 (with sparsity) | 2,614.9 TFLOPS | 153.4 TFLOPS |
| INT8 (with sparsity) | 5,229.8 TOPS | Not published |
Performance Analysis
The MI300X provides FP16 dense performance at 1307.4 TFLOPS compared to the RTX A4000 FP16 performance listed only with sparsity at 153.4 TFLOPS. This gap in FP16 dense figures indicates the MI300X handles matrix operations in training at a scale that exceeds the RTX A4000 by a factor derived directly from those two numbers. The MI300X also lists FP16 with sparsity at 2614.9 TFLOPS against the RTX A4000 sparse figure of 153.4 TFLOPS. Memory bandwidth of 5300 GB/s on the MI300X versus 448 GB/s on the RTX A4000 supports larger batch sizes during inference and training on the MI300X without swapping data as frequently. FP32 performance stands at 163.4 TFLOPS for the MI300X and 19.2 TFLOPS for the RTX A4000 which affects precision sensitive scientific tasks in direct proportion to those values.
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.
MI300X
1 provider in stock, 1 offer. All MI300X offers, price history and alerts
RTX A4000
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| Hyperstack | NORWAY-1 | 1 | $0.15 | — | Deploy |
| Paperspace | ny2 | 2 | $0.76 | $1.52 | Deploy |
2 providers in stock, 7 offers (cheapest per provider shown). All RTX A4000 offers, price history and alerts
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When to Choose the MI300X
The MI300X suits LLM training scenarios that require 192 GB HBM3 memory and FP16 dense performance of 1307.4 TFLOPS. Its 5300 GB/s bandwidth and Infinity Fabric interconnect further support distributed workloads that exceed the capacity of 16 to 20 GB GDDR6 configurations.
When to Choose the RTX A4000
The RTX A4000 suits compact inference tasks where TDP of 140W and PCIe form factor fit within power limited servers. Its FP32 performance of 19.2 TFLOPS meets requirements for smaller fine tuning jobs that do not need the 192 GB memory capacity of the MI300X.
Use Cases
The MI300X supplies 192 GB HBM3 memory and FP16 dense performance of 1307.4 TFLOPS that exceed the RTX A4000 limits.
The MI300X bandwidth of 5300 GB/s supports larger batch sizes than the 448 GB/s on the RTX A4000.
The MI300X FP16 with sparsity at 2614.9 TFLOPS enables faster adaptation cycles than the RTX A4000 sparse figure of 153.4 TFLOPS.
The RTX A4000 TDP of 140W fits power constrained environments where the MI300X 750W rating exceeds limits.
The MI300X FP32 performance of 163.4 TFLOPS surpasses the RTX A4000 value of 19.2 TFLOPS for precision workloads.
Frequently Asked Questions
How does MI300X memory compare to RTX A4000 memory?▾
The MI300X contains 192 GB HBM3 memory while the RTX A4000 contains 16 to 20 GB GDDR6 memory. This difference directly affects maximum model sizes that fit without partitioning.
What FP16 performance does each GPU deliver?▾
The MI300X delivers FP16 dense performance at 1307.4 TFLOPS and FP16 with sparsity at 2614.9 TFLOPS. The RTX A4000 lists FP16 performance only with sparsity at 153.4 TFLOPS.
How do the TDP values differ between the two GPUs?▾
The MI300X operates at a TDP of 750W while the RTX A4000 operates at a TDP of 140W. These power figures influence cooling and power supply requirements in deployment.
Which interconnect does each GPU use?▾
The MI300X supports Infinity Fabric and PCIe 5.0 interconnect while the RTX A4000 supports PCIe 4.0 interconnect. The MI300X interconnect options enable higher speed multi GPU links than the RTX A4000.
What FP32 performance is listed for each GPU?▾
The MI300X lists FP32 performance at 163.4 TFLOPS while the RTX A4000 lists FP32 performance at 19.2 TFLOPS. These values determine throughput for single precision scientific calculations.
Which is cheaper to rent, the MI300X or the RTX A4000?▾
Cloud rental prices for both the MI300X and RTX A4000 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 MI300X have compared to the RTX A4000?▾
The MI300X has 192 GB of HBM3 memory. The RTX A4000 has 16 to 20 GB of GDDR6 memory.
Can I find MI300X and RTX A4000 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 MI300X and the RTX A4000?▾
The MI300X uses the CDNA 3 architecture (2023) while the RTX A4000 uses Ampere (2021). The MI300X has 192 GB of HBM3 at 5,300 GB/s; the RTX A4000 has 16-20 GB of GDDR6 at 448 GB/s, so the MI300X has 11.8x the memory bandwidth of the RTX A4000.
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 MI300X and the RTX A4000. 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 MI300XEvery current offer by provider, daily price history and a price alert.
- Rent RTX A4000Every 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.