Specifications Compared
| Spec | A40 | MI250X |
|---|---|---|
| TDP | 300W | 560W |
| VRAM | 48 GB | 128 GB |
| CUDA Cores | 10,752 | |
| Memory Type | GDDR6 | HBM2e |
| Architecture | Ampere | CDNA 2 |
| Form Factors | PCIe | OAM |
| Interconnect | NVLink | Infinity Fabric |
| Tensor Cores | 336 | |
| FP16 Performance | 37.4 TFLOPS | 383 TFLOPS |
| FP32 Performance | 37.4 TFLOPS | 383 TFLOPS |
| FP64 Performance | 0.6 TFLOPS | 48 TFLOPS |
| INT8 Performance | 299 TOPS | |
| Memory Bandwidth | 696 GB/s | 3,277 GB/s |
Performance Analysis
The MI250X vastly outperforms the A40 in raw compute: 383 TFLOPS FP16 and FP32 compared to 37.4 TFLOPS on the A40. This gap translates to over 10 times faster matrix multiplications essential for deep learning training and inference. Equal FP16 and FP32 rates on both GPUs support mixed-precision workflows without penalties, but MI250X accelerates large-scale model training significantly. Memory specs show stark contrast: 128 GB HBM2e versus 48 GB GDDR6 limits A40 to smaller models or batches. The MI250X 3277 GB/s bandwidth versus 696 GB/s enables much larger batch sizes in training, reducing iterations and time to convergence. Higher TDP of 560W on MI250X versus 300W on A40 demands better cooling but yields superior throughput for memory-bound tasks like LLM fine-tuning.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A40
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Tallinn, Harjumaa | $0.08/GPU/hr | Available | ||
 Vast.ai | 8×NVIDIA RTX A4000 16GB VRAM | 16GB | 80 vCPU 201GB RAM 1698GB Storage | United Kingdom | $0.15/GPU/hr $1.17/hr total (8×) | Available | ||
 Hyperstack | 4×NVIDIA RTX A4000 16GB VRAM | 16GB | 16 vCPU 86GB RAM 500GB Storage | Norway | $0.15/GPU/hr $0.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 43GB RAM 200GB Storage | Norway | $0.15/GPU/hr $0.30/hr total (2×) | Available | ||
Hyperstack | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | Available |
MI250X
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.28/GPU/hr $5.12/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.44/GPU/hr $5.76/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.52/GPU/hr $6.08/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.60/GPU/hr $6.40/hr total (4×) |
When to Choose the A40
Opt for the A40 in cost-sensitive deployments or when broad availability matters. With pricing from $0.24 per hour across 23 offers, it undercuts MI250X at $1.28 per hour across 4 offers. Its 300W TDP suits standard PCIe slots without extensive power upgrades, ideal for smaller clusters or inference on models fitting 48 GB VRAM.
When to Choose the MI250X
Choose the MI250X for workloads demanding extreme performance and capacity. The 383 TFLOPS FP16 and 128 GB HBM2e excel in training massive LLMs or scientific simulations exceeding A40 limits. Despite higher 560W TDP, its 3277 GB/s bandwidth handles large-batch training efficiently in optimized AMD environments.
Use Cases
MI250X 383 TFLOPS FP16 and 128 GB HBM2e support massive models and large batches unattainable on A40's 37.4 TFLOPS and 48 GB.
High 3277 GB/s bandwidth on MI250X enables high-throughput serving; A40 suffices for smaller models but lags at scale.
MI250X 128 GB VRAM fits larger datasets for fine-tuning; A40 48 GB limits batch sizes.
A40 48 GB handles most image generation; MI250X accelerates via superior bandwidth for high-res batches.
MI250X 383 TFLOPS FP32 and Infinity Fabric excel in HPC simulations; A40 adequate for lighter loads.
Frequently Asked Questions
What is the VRAM difference between A40 and MI250X?▾
A40 offers 48 GB GDDR6 while MI250X provides 128 GB HBM2e. This triples capacity for MI250X, suiting larger AI models. Bandwidth follows at 696 GB/s for A40 versus 3277 GB/s for MI250X.
How do FP16 performances compare?▾
MI250X delivers 383 TFLOPS FP16 against A40's 37.4 TFLOPS. This yields over 10x speedup for half-precision training. FP32 matches at same rates per GPU.
Which has lower cloud pricing?▾
A40 starts at $0.24 per hour averaging $1.26 across 23 offers. MI250X begins at $1.28 per hour averaging $1.46 across 4 offers. A40 provides more options.
What are the power requirements?▾
A40 TDP is 300W fitting standard PCIe. MI250X requires 560W needing robust cooling. This impacts cluster design.
Which interconnect do they use?▾
A40 employs NVLink for NVIDIA scaling. MI250X uses Infinity Fabric for AMD clusters. Choice aligns with ecosystem.
When was each GPU released?▾
A40 launched in 2020 on Ampere. MI250X arrived in 2021 on CDNA 2. MI250X benefits from newer architecture.
Which is cheaper to rent, the A40 or the MI250X?▾
Cloud rental prices for both the A40 and MI250X 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 A40 have compared to the MI250X?▾
The A40 has 48 GB of GDDR6 memory. The MI250X has 128 GB of HBM2e memory.
Can I find A40 and MI250X 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 A40 and the MI250X?▾
The A40 uses the Ampere architecture (2020) while the MI250X uses CDNA 2 (2021). The MI250X delivers 10.2x the FP16 throughput and 4.7x the memory bandwidth of the A40.