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
Superior compute defines the MI300X edge: its 1307 TFLOPS FP16 performance quadruples the A100's 312 TFLOPS, accelerating deep learning training where half-precision dominates. FP32 throughput surges to 163 TFLOPS on MI300X from 19.5 TFLOPS on A100, benefiting simulations and precision-sensitive tasks. The FP8 capability of 2614 TFLOPS on MI300X further optimizes inference for quantized models.
Memory specs reshape workloads profoundly: 192 GB HBM3 on MI300X versus 40 GB HBM2e on A100 enables handling massive datasets without model sharding. Bandwidth of 5300 GB/s on MI300X doubles the A100's 2039 GB/s, supporting larger batch sizes and reducing latency in data-intensive training. This translates to faster convergence in LLM pretraining and higher throughput in inference serving.
Power implications follow: A100's 400W TDP suits denser deployments, but MI300X's 750W demands robust cooling, trading efficiency for raw output in high-end clusters.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 40GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 5672GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 769GB 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 | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 126GB RAM 1114GB Storage | Czechia | $1.00/GPU/hr $2.00/hr total (2×) | Available | ||
 Denvr | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 512GB RAM 7600GB Storage | Virginia | $1.15/GPU/hr $4.60/hr total (4×) |
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 PCIe 40GB
The A100 PCIe 40GB excels in established NVIDIA ecosystems requiring CUDA compatibility and broad software support. Its 400W TDP enables more units per rack compared to MI300X's 750W, optimizing power budgets in legacy data centers. Average cloud pricing of $1.85/hr across 11 offers provides cost stability over MI300X's $2.63/hr average.
Choose A100 for PCIe 4.0 flexibility in mixed workloads or when 40 GB VRAM suffices for fine-tuning mid-sized models, avoiding MI300X's OAM form factor limitations.
When to Choose the MI300X
The MI300X dominates large-scale AI with 192 GB HBM3 VRAM, accommodating full LLMs without partitioning unlike A100's 40 GB limit. Its 5300 GB/s bandwidth and 1307 TFLOPS FP16 sustain enormous batch sizes in training, yielding faster iterations.
Opt for MI300X in FP8 inference at 2614 TFLOPS or PCIe 5.0 clusters, where $0.50/hr entry pricing offsets higher 750W TDP for peak performance.
Use Cases
MI300X's 1307 TFLOPS FP16 and 192 GB VRAM handle massive datasets and large batches far better than A100's 312 TFLOPS and 40 GB. This reduces training time significantly for billion-parameter models.
With 2614 TFLOPS FP8 and 5300 GB/s bandwidth, MI300X serves high-concurrency requests efficiently. A100's lower 312 TFLOPS FP16 limits scale for production deployment.
A100's 40 GB VRAM and $1.85/hr average suffice for mid-sized models with mature CUDA support. MI300X shines for parameter-heavy fine-tuning via 192 GB capacity.
MI300X's 163 TFLOPS FP32 and high bandwidth accelerate image generation pipelines. A100's 19.5 TFLOPS FP32 proves inadequate for complex diffusion models.
MI300X's 163 TFLOPS FP32 outperforms A100's 19.5 TFLOPS in simulations. Expanded 192 GB VRAM supports large-scale HPC datasets.
Frequently Asked Questions
Which GPU has more VRAM?▾
The MI300X provides 192 GB HBM3, dwarfing the A100 PCIe 40GB's 40 GB HBM2e. This advantage allows MI300X to load entire large language models without sharding. A100 suits smaller workloads.
What are the FP16 performance differences?▾
MI300X achieves 1307 TFLOPS in FP16, over four times the A100's 312 TFLOPS. This gap accelerates AI training significantly on MI300X. Inference also benefits from the disparity.
How do cloud prices compare?▾
A100 PCIe 40GB starts at $0.60/hr with $1.85/hr average across 11 offers, while MI300X begins at $0.50/hr averaging $2.63/hr over 9 offers. A100 offers better average value for general use.
What is the memory bandwidth gap?▾
MI300X delivers 5300 GB/s, more than double A100's 2039 GB/s. Higher bandwidth on MI300X enables larger batch sizes and faster data movement. This impacts training efficiency directly.
Which has higher power consumption?▾
MI300X requires 750W TDP versus A100's 400W. A100 fits power-constrained environments better. MI300X justifies extra draw with superior performance metrics.
Does MI300X support FP8?▾
MI300X offers 2614 TFLOPS in FP8, absent on A100. FP8 optimizes low-precision inference for LLMs on MI300X. This extends its edge in serving scenarios.
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.