Specifications Compared
| Spec | GTX-1070 | MI325X |
|---|---|---|
| TDP | 150W | 750W |
| VRAM | 8 GB | 256 GB |
| CUDA Cores | 1,920 | |
| Memory Type | GDDR5 | HBM3e |
| Architecture | Pascal | CDNA 3 |
| Form Factors | PCIe | OAM |
| Interconnect | Infinity Fabric | |
| FP16 Performance | 6.5 TFLOPS | 1,307 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 1307 TFLOPS |
| Memory Bandwidth | 256 GB/s | 6,000 GB/s |
Performance Analysis
The FP16 and FP32 performance gap defines key differences: the MI325X delivers 1307 TFLOPS compared to the GTX 1070's 6.5 TFLOPS, enabling up to 201 times faster matrix operations critical for deep learning training and inference. This disparity accelerates model convergence in training phases and reduces latency in inference pipelines handling real-time queries.
Memory bandwidth profoundly impacts workload efficiency. The MI325X's 6000 GB/s supports massive batch sizes for large language models, minimizing out-of-memory errors on datasets exceeding 8 GB, which the GTX 1070 cannot handle due to its 256 GB/s limit. Higher bandwidth also speeds data transfers, improving throughput in memory-bound tasks like Stable Diffusion generation.
Power and architecture further differentiate them. The MI325X's FP8 capability at 2614 TFLOPS optimizes quantized inference, while the GTX 1070's Pascal design lacks such efficiency for contemporary AI precision requirements.
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When to Choose the GTX 1070
The GTX 1070 excels in low-power, budget-constrained environments. Its 150W TDP fits compact desktops or laptops for gaming at 1080p resolutions or light machine learning on datasets under 8 GB VRAM. Users with legacy Pascal-compatible software benefit from its PCIe form factor and availability in secondary markets.
When to Choose the MI325X
The MI325X dominates high-performance AI and HPC scenarios. Its 256 GB HBM3e VRAM and 6000 GB/s bandwidth enable training of models with billions of parameters, such as large language models, where the GTX 1070 fails due to memory constraints. Datacenter deployments leverage Infinity Fabric for multi-GPU scaling.
Use Cases
The MI325X's 256 GB HBM3e VRAM and 1307 TFLOPS FP16 performance handle massive datasets and parameters, unlike the GTX 1070's 8 GB limit.
With 6000 GB/s bandwidth and 2614 TFLOPS FP8, the MI325X supports high-throughput serving of large models; the GTX 1070 cannot manage batch sizes beyond small scales.
MI325X accelerates fine-tuning via 1307 TFLOPS FP32 and vast memory, enabling full model loading; GTX 1070 restricts to tiny subsets.
The MI325X's bandwidth and VRAM generate high-resolution images rapidly; GTX 1070 limits to low-res due to 256 GB/s and 8 GB constraints.
MI325X processes simulations with 1307 TFLOPS FP32 and Infinity Fabric scaling; GTX 1070 suits only basic computations.
Frequently Asked Questions
Can the GTX 1070 handle modern AI training?▾
The GTX 1070's 8 GB GDDR5 VRAM and 6.5 TFLOPS FP16 limit it to small models under 8 GB. Larger workloads cause out-of-memory errors, unlike the MI325X's 256 GB capacity.
How does MI325X compare in memory bandwidth to GTX 1070?▾
MI325X provides 6000 GB/s with HBM3e, 23 times the GTX 1070's 256 GB/s GDDR5. This enables larger batches and faster data movement in AI tasks.
Is GTX 1070 suitable for Stable Diffusion?▾
GTX 1070 runs basic Stable Diffusion at low resolutions with its 6.5 TFLOPS FP32. For high-res or batch generation, MI325X's 1307 TFLOPS excels.
What is the power difference between these GPUs?▾
GTX 1070 draws 150W TDP in PCIe form, ideal for desktops. MI325X requires 750W in OAM with Infinity Fabric, suited for datacenters.
Does MI325X support FP8 for inference?▾
MI325X delivers 2614 TFLOPS FP8, optimizing quantized inference speed. GTX 1070 lacks FP8 support, capping at 6.5 TFLOPS FP16.
Why compare a 2016 GPU to a 2024 accelerator?▾
GTX 1070 represents accessible legacy hardware with 8 GB VRAM. MI325X showcases AI progress via 256 GB VRAM and 201x FP32 gains for current workloads.
Which is cheaper to rent, the GTX 1070 or the MI325X?▾
Cloud rental prices for both the GTX 1070 and MI325X 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 GTX 1070 have compared to the MI325X?▾
The GTX 1070 has 8 GB of GDDR5 memory. The MI325X has 256 GB of HBM3e memory.
Can I find GTX 1070 and MI325X 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 GTX 1070 and the MI325X?▾
The GTX 1070 uses the Pascal architecture (2016) while the MI325X uses CDNA 3 (2024). The MI325X delivers 201.1x the FP16 throughput and 23.4x the memory bandwidth of the GTX 1070.