Specifications Compared
| Spec | MI250X | V100 |
|---|---|---|
| TDP | 560W | 300W |
| VRAM | 128 GB | 16-32 GB |
| Memory Type | HBM2e | HBM2 |
| Architecture | CDNA 2 | Volta |
| Form Factors | OAM | SXM2, PCIe |
| Interconnect | Infinity Fabric | NVLink, PCIe 3.0 |
| FP16 Performance | 383 TFLOPS | 125 TFLOPS |
| FP32 Performance | 383 TFLOPS | 15.7 TFLOPS |
| FP64 Performance | 48 TFLOPS | 7.8 TFLOPS |
| Memory Bandwidth | 3,277 GB/s | 900 GB/s |
Performance Analysis
The MI250X outperforms the V100 dramatically in raw compute: its 383 TFLOPS FP32 enables faster model training, where precision matters, compared to the V100's mere 15.7 TFLOPS FP32. For FP16-heavy inference, the MI250X's 383 TFLOPS still triples the V100's 125 TFLOPS, accelerating throughput. This balance suits mixed-precision workflows common in large-scale AI. Memory specs transform real-world usage: 128 GB VRAM on the MI250X supports massive models or enormous batch sizes without swapping, while the V100's 32 GB limits scale, often requiring model parallelism. The 3277 GB/s bandwidth versus 900 GB/s minimizes bottlenecks in data movement, enabling larger batches in training by up to 3.6 times the speed. Power draw differs at 560W for MI250X versus 300W for V100, impacting density in clusters but favoring MI250X for peak performance over efficiency.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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×) |
Tesla V100 32GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Texas | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | New York City | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Texas | $0.29/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | New York City | $0.29/GPU/hr | Available | ||
 Lambda Labs | 8×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 88 vCPU 448GB RAM 6041GB Storage | Texas | $0.79/GPU/hr $6.32/hr total (8×) | Available |
When to Choose the MI250X
Choose the MI250X for workloads demanding extreme scale, such as training large language models exceeding 32 GB VRAM. Its 128 GB HBM2e and 3277 GB/s bandwidth handle gigantic batches efficiently, while 383 TFLOPS FP32 accelerates convergence. Despite $1.28 per hour pricing and 560W TDP, it excels in HPC environments leveraging Infinity Fabric interconnects.
When to Choose the Tesla V100 32GB
Opt for the V100 32GB in budget-constrained or low-power scenarios, starting at $0.29 per hour with 46 cloud offers. Its 300W TDP suits dense deployments, and NVLink or PCIe 3.0 supports legacy NVIDIA-optimized code. It suffices for smaller models under 32 GB VRAM where 125 TFLOPS FP16 meets inference needs without overkill.
Use Cases
MI250X's 128 GB VRAM and 383 TFLOPS FP32 support massive models and large batches. V100's 32 GB limits scale severely.
MI250X excels at high throughput with 383 TFLOPS FP16, but V100's 125 TFLOPS suffices for smaller models at $0.29 per hour.
383 TFLOPS FP32 on MI250X speeds optimization of large models needing 128 GB VRAM. V100's 15.7 TFLOPS FP32 hinders efficiency.
MI250X's 3277 GB/s bandwidth and 128 GB VRAM enable high-resolution generations without OOM errors. V100 struggles beyond basic scales.
Balanced 383 TFLOPS FP16/FP32 and Infinity Fabric suit simulations requiring high memory. V100's specs fall short for modern datasets.
Frequently Asked Questions
What is the VRAM difference between MI250X and V100 32GB?▾
The MI250X provides 128 GB HBM2e, four times the V100's 32 GB HBM2. This allows MI250X to load much larger models or datasets in memory. V100 often requires sharding for big tasks.
How do FP32 performance levels compare?▾
MI250X achieves 383 TFLOPS FP32, over 24 times the V100's 15.7 TFLOPS. This gap accelerates training phases needing precision. Inference can leverage FP16, but MI250X still leads.
What are the current cloud pricing ranges?▾
MI250X starts at $1.28 per hour, averaging $1.46 across four offers. V100 32GB begins at $0.29 per hour, averaging $1.01 across 46 offers. V100 offers better availability.
Which has higher memory bandwidth?▾
MI250X delivers 3277 GB/s, 3.6 times the V100's 900 GB/s. Higher bandwidth reduces data transfer bottlenecks in training. It supports larger batch sizes effectively.
What are the TDP ratings?▾
MI250X consumes 560W, nearly double the V100's 300W. V100 enables higher density in power-limited clusters. MI250X prioritizes peak performance.
How do architectures and release years differ?▾
MI250X uses CDNA 2 from 2021, optimized for modern AI. V100 employs Volta from 2017, with strong legacy CUDA support. MI250X reflects four years of advancements.
Which is cheaper to rent, the MI250X or the V100?▾
Cloud rental prices for both the MI250X and V100 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 MI250X have compared to the V100?▾
The MI250X has 128 GB of HBM2e memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find MI250X and V100 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 MI250X and the V100?▾
The MI250X uses the CDNA 2 architecture (2021) while the V100 uses Volta (2017). The MI250X delivers 3.1x the FP16 throughput and 3.6x the memory bandwidth of the V100.