Specifications Compared
| Spec | MI325X | V100 |
|---|---|---|
| TDP | 750W | 300W |
| VRAM | 256 GB | 16-32 GB |
| Memory Type | HBM3e | HBM2 |
| Architecture | CDNA 3 | Volta |
| Form Factors | OAM | SXM2, PCIe |
| Interconnect | Infinity Fabric | NVLink, PCIe 3.0 |
| FP8 Performance | 2,614 TFLOPS | |
| FP16 Performance | 1,307 TFLOPS | 125 TFLOPS |
| FP32 Performance | 1307 TFLOPS | 15.7 TFLOPS |
| FP64 Performance | 40.9 TFLOPS | 7.8 TFLOPS |
| INT8 Performance | 2,614 TOPS | |
| Memory Bandwidth | 6,000 GB/s | 900 GB/s |
Performance Analysis
The MI325X's balanced 1307 TFLOPS across FP16 and FP32 enables efficient handling of both training and precision-sensitive computations, unlike the V100's skewed profile of 125 TFLOPS FP16 but only 15.7 TFLOPS FP32, which limits FP32-heavy tasks like certain scientific simulations. This FP16/FP32 delta means the MI325X accelerates mixed-precision training pipelines by over 8x in FP32 throughput alone, reducing iteration times for large neural networks.
Memory specifications transform real-world usability: 256 GB HBM3e on the MI325X supports massive batch sizes and model sizes that fit entirely on one GPU, whereas the V100's 16 GB HBM2 necessitates model parallelism or sharding, increasing latency. The 6000 GB/s bandwidth versus 900 GB/s minimizes data movement bottlenecks, enabling up to 6.7x faster memory-bound operations such as inference on large language models.
Power and form factors influence deployment: the MI325X's 750W TDP and OAM design suit high-density racks with Infinity Fabric interconnects, while the V100's 300W and SXM2/PCIe options with NVLink fit varied legacy infrastructures, though at reduced scale for modern workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Tesla V100 16GB
| 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 MI325X
The MI325X excels in large-scale AI training and inference where datasets or models exceed 16 GB, leveraging its 256 GB VRAM to avoid multi-GPU synchronization overheads. High-bandwidth 6000 GB/s memory and 2614 TFLOPS FP8 performance make it optimal for FP8-quantized inference on massive LLMs, delivering throughput unattainable on the V100.
Teams prioritizing raw compute with 1307 TFLOPS FP32 for precision tasks choose the MI325X, especially in environments supporting OAM and Infinity Fabric for seamless scaling.
When to Choose the Tesla V100 16GB
The V100 suits budget-conscious prototyping or legacy applications optimized for Volta, available from $0.10 per hour across 26 offers. Its 300W TDP enables deployment in power-constrained setups, and NVLink/PCIe 3.0 interconnects integrate easily with existing clusters.
Small-scale inference or fine-tuning within 16 GB VRAM limits favors the V100, providing reliable 125 TFLOPS FP16 at average $0.82 per hour without the MI325X's current availability issues.
Use Cases
MI325X's 256 GB VRAM and 1307 TFLOPS FP16 handle massive models without sharding, unlike V100's 16 GB limit. Its 6000 GB/s bandwidth supports large batch sizes critical for efficient training.
The 2614 TFLOPS FP8 on MI325X accelerates quantized inference for huge LLMs, far beyond V100's 125 TFLOPS FP16. 256 GB VRAM enables single-GPU serving of models too large for V100.
Smaller models fit V100's 16 GB VRAM with 125 TFLOPS FP16 for quick iterations at $0.10/hr. MI325X's superior specs suit larger fine-tuning but may overprovision for modest tasks.
MI325X's 1307 TFLOPS FP16 and high bandwidth generate high-resolution images faster with bigger batches. V100 struggles with memory for advanced diffusion models.
Balanced 1307 TFLOPS FP32 on MI325X outperforms V100's 15.7 TFLOPS for simulations requiring precision. Vast VRAM aids complex datasets in HPC.
Frequently Asked Questions
What is the VRAM difference between MI325X and V100 16GB?▾
The MI325X offers 256 GB HBM3e, which is 16 times more than the V100's 16 GB HBM2. This enables the MI325X to load much larger models without partitioning. V100 suits smaller workloads fitting within 16 GB.
How do FP16 performances compare?▾
MI325X delivers 1307 TFLOPS FP16, over 10 times the V100's 125 TFLOPS. This gap accelerates tensor operations in deep learning. V100 remains viable for lighter FP16 tasks.
What are the power requirements?▾
MI325X has a 750W TDP, double the V100's 300W. Higher power on MI325X supports its dense compute but demands robust cooling. V100 fits low-power environments.
Is V100 cheaper in the cloud?▾
V100 16GB starts at $0.10 per hour, averaging $0.82 across 26 offers. MI325X has no live offers currently. Cost favors V100 for accessible rentals.
Which has better memory bandwidth?▾
MI325X provides 6000 GB/s, 6.7 times the V100's 900 GB/s. Superior bandwidth reduces bottlenecks in data-heavy AI. V100 suffices for less intensive transfers.
What interconnects do they use?▾
MI325X employs Infinity Fabric, while V100 uses NVLink and PCIe 3.0. These suit different cluster topologies. Legacy NVLink ecosystems prefer V100.
Which is cheaper to rent, the MI325X or the V100?▾
Cloud rental prices for both the MI325X 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 MI325X have compared to the V100?▾
The MI325X has 256 GB of HBM3e memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find MI325X 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 MI325X and the V100?▾
The MI325X uses the CDNA 3 architecture (2024) while the V100 uses Volta (2017). The MI325X delivers 10.5x the FP16 throughput and 6.7x the memory bandwidth of the V100.

