Specifications Compared
| Spec | A100 | MI300X |
|---|---|---|
| TDP | 400W | 750W |
| VRAM | 40-80 GB | 192 GB |
| CUDA Cores | 6,912 | |
| Memory Type | HBM2e | HBM3 |
| Architecture | Ampere | CDNA 3 |
| Form Factors | SXM4, PCIe | OAM |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | Infinity Fabric, PCIe 5.0 |
| Tensor Cores | 432 | |
| FP16 Performance | 312 TFLOPS | 1,307 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 163 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 81.7 TFLOPS |
| INT8 Performance | 624 TOPS | 2,614 TOPS |
| Memory Bandwidth | 2,039 GB/s | 5,300 GB/s |
Performance Analysis
The MI300X demonstrates superior raw compute: its FP16 reaches 1307 TFLOPS versus the A100's 312 TFLOPS, a 4.2 times increase, while FP32 hits 163 TFLOPS against 19.5 TFLOPS, an 8.4 times gain. This disparity accelerates deep learning training, where FP16 dominates mixed-precision workflows, reducing epochs by factors aligned with these ratios.
Memory specifications favor the MI300X decisively. With 192 GB HBM3 versus 80 GB maximum HBM2e, it supports larger models without partitioning; 5300 GB/s bandwidth compared to 2039 GB/s enables bigger batch sizes, minimizing data loading bottlenecks in inference pipelines. Real-world inference benefits from FP8 at 2614 TFLOPS, ideal for quantized large language models.
Power draw differs markedly: the MI300X's 750W TDP exceeds the A100's 400W, implying higher operational costs in dense clusters. Interconnects also evolve, with MI300X's PCIe 5.0 and Infinity Fabric versus A100's PCIe 4.0 and NVLink, potentially enhancing multi-GPU scaling in modern fabrics.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 794GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
 LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 646GB Storage | Czechia | $1.07/GPU/hr | Available | ||
 Denvr | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 1024GB RAM 15200GB Storage | Virginia | $1.15/GPU/hr $9.20/hr total (8×) |
MI300X
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | AMD Instinct MI300X 192GB VRAM | 192GB | 24 vCPU 256GB RAM | 🌍global | $1.99/GPU/hr | |||
 Hot Aisle | AMD Instinct MI300X 192GB VRAM | 192GB | 8 vCPU 224GB RAM 12288GB Storage | Michigan | $1.99/GPU/hr | Available | ||
 Cirrascale | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 192 vCPU 2355GB RAM 44538GB Storage | United States | $3.08/GPU/hr $24.64/hr total (8×) | |||
 Crusoe | AMD Instinct MI300X 192GB VRAM | 192GB | 0 vCPU 0GB RAM | United States | $3.45/GPU/hr | |||
Cirrascale | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 192 vCPU 2355GB RAM 44538GB Storage | United States | $3.47/GPU/hr $27.76/hr total (8×) |
When to Choose the A100
The A100 suits deployments prioritizing availability and cost efficiency. With 34 live cloud offers from $0.13 per hour averaging $1.33 per hour, it provides immediate access absent for the MI300X. Lower 400W TDP fits power-constrained environments or legacy NVIDIA-optimized software stacks.
Mature ecosystems around NVLink and InfiniBand ensure seamless integration in existing clusters running Ampere-specific workloads.
When to Choose the MI300X
The MI300X excels in memory-bound AI tasks requiring 192 GB HBM3 VRAM, far surpassing the A100's 80 GB maximum. Its 5300 GB/s bandwidth and FP16 at 1307 TFLOPS handle massive datasets and large models efficiently.
Forward-looking users benefit from CDNA 3's FP8 at 2614 TFLOPS for next-generation inference, despite the 750W TDP.
Use Cases
MI300X's 1307 TFLOPS FP16 and 163 TFLOPS FP32 provide 4.2x and 8.4x gains over A100's 312 TFLOPS and 19.5 TFLOPS. 192 GB VRAM supports larger models without sharding.
FP8 at 2614 TFLOPS and 5300 GB/s bandwidth enable high-throughput quantized inference. 192 GB HBM3 handles full model loading unlike A100's 80 GB limit.
Higher FP32 at 163 TFLOPS accelerates parameter updates versus A100's 19.5 TFLOPS. Expanded memory reduces overhead in adapter-based tuning.
A100's mature ecosystem and $0.13/hr pricing suit prototyping. MI300X's bandwidth edge benefits high-resolution generation at scale.
MI300X's 5300 GB/s bandwidth and 192 GB VRAM optimize simulations with large matrices. FP32 superiority aids precision-heavy HPC tasks.
Frequently Asked Questions
Which GPU has more VRAM?▾
The MI300X offers 192 GB HBM3, exceeding the A100's 40-80 GB HBM2e. This capacity supports larger AI models without model parallelism.
What is the memory bandwidth difference?▾
MI300X achieves 5300 GB/s, 2.6 times the A100's 2039 GB/s. Higher bandwidth reduces latency in data-intensive training.
How do FP16 performances compare?▾
MI300X delivers 1307 TFLOPS FP16 versus A100's 312 TFLOPS, a 4.2-fold improvement. This boosts mixed-precision deep learning speed.
What are the cloud pricing details?▾
A100 starts at $0.13 per hour with an average of $1.33 per hour across 34 offers. MI300X has no live cloud offers currently.
Which has higher power consumption?▾
MI300X's TDP is 750W, nearly double the A100's 400W. This impacts cooling and energy costs in large-scale deployments.
Is MI300X better for FP32 workloads?▾
MI300X provides 163 TFLOPS FP32, 8.4 times the A100's 19.5 TFLOPS. It excels in scientific computing and certain training phases.
Which is cheaper to rent, the A100 or the MI300X?▾
Cloud rental prices for both the A100 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 A100 have compared to the MI300X?▾
The A100 has 40 to 80 GB of HBM2e memory. The MI300X has 192 GB of HBM3 memory.
Can I find A100 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 A100 and the MI300X?▾
The A100 uses the Ampere architecture (2020) while the MI300X uses CDNA 3 (2023). The MI300X delivers 4.2x the FP16 throughput and 2.6x the memory bandwidth of the A100.