MI325X vs RTX 3070 Ti

CDNA 3vsAmpereUpdated 35 days ago

The MI325X emerges as the clear winner for AI and computing workloads due to its 1307 TFLOPS FP16/FP32 performance, 256 GB VRAM, and 6000 GB/s bandwidth, enabling tasks impossible on the RTX 3070 Ti's 22 TFLOPS and 8 GB limits. Consumer use cases aside, datacenter demands favor MI325X overwhelmingly.

Specifications Compared

SpecMI325XRTX-3070
TDP750W220W
VRAM256 GB8 GB
Memory TypeHBM3eGDDR6
ArchitectureCDNA 3Ampere
Form FactorsOAMPCIe
InterconnectInfinity Fabric
FP8 Performance2,614 TFLOPS
FP16 Performance1,307 TFLOPS20.3 TFLOPS
FP32 Performance1307 TFLOPS20.3 TFLOPS
FP64 Performance40.9 TFLOPS
INT8 Performance2,614 TOPS
Memory Bandwidth6,000 GB/s448 GB/s

Performance Analysis

Compute performance sets the MI325X far ahead: 1307 TFLOPS in FP16 and FP32 enables rapid model training and inference, compared to 22 TFLOPS on the RTX 3070 Ti. This 59-fold difference means training a large language model completes in minutes on MI325X versus hours or days on RTX 3070 Ti. FP8 capability at 2614 TFLOPS on MI325X accelerates quantized inference for deployment, a feature absent on RTX 3070 Ti.

Memory specifications amplify real-world impacts. The MI325X's 6000 GB/s bandwidth and 256 GB VRAM support massive batch sizes in training, preventing out-of-memory errors for models exceeding 100 billion parameters. RTX 3070 Ti's 608 GB/s and 8 GB limit it to small batches or models under 7 billion parameters. Infinity Fabric interconnect on MI325X aids multi-GPU scaling, unlike the PCIe-only RTX 3070 Ti.

Power efficiency follows: MI325X at 750W delivers over 1.7 TFLOPS per watt in FP32, while RTX 3070 Ti at 290W reaches 0.076 TFLOPS per watt. Datacenter environments favor MI325X for sustained high-load tasks.

Live Cloud Pricing

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When to Choose the MI325X

Select the MI325X for large-scale AI training or inference where 256 GB HBM3e VRAM handles enormous models without splitting. Its 1307 TFLOPS FP16 performance and 6000 GB/s bandwidth enable efficient processing of datasets too vast for consumer GPUs. Datacenter setups with OAM form factor and Infinity Fabric suit enterprise HPC or cloud-scale deployments.

High TDP of 750W fits rack-mounted systems optimized for continuous operation.

When to Choose the RTX 3070 Ti

The RTX 3070 Ti excels in budget-conscious scenarios like prototyping small AI models or gaming with ray tracing. At $0.06 per hour, it offers accessible entry for fine-tuning under 8 GB VRAM needs. Low 290W TDP and PCIe form factor make it ideal for desktops or light cloud instances.

Users prioritizing cost over scale benefit from its availability across two providers averaging $0.08 per hour.

Use Cases

LLM Training
MI325X

MI325X's 1307 TFLOPS FP16 and 256 GB VRAM support training models over 100B parameters with large batches. RTX 3070 Ti's 8 GB VRAM cannot accommodate such scales.

LLM Inference
MI325X

MI325X FP8 at 2614 TFLOPS and 6000 GB/s bandwidth handle high-throughput quantized inference. RTX 3070 Ti lacks FP8 and sufficient memory for production loads.

Fine-tuning
Either

Small models fit RTX 3070 Ti's 8 GB VRAM at 22 TFLOPS for quick iterations. MI325X overkill unless datasets demand 256 GB.

Stable Diffusion
RTX 3070 Ti

RTX 3070 Ti's 608 GB/s bandwidth and $0.06/hr pricing suit real-time image generation. MI325X's 750W TDP unnecessary for consumer creative tasks.

Scientific Computing
MI325X

MI325X 1307 TFLOPS FP32 and Infinity Fabric excel in simulations requiring massive parallelism. RTX 3070 Ti's 22 TFLOPS limits complex analyses.

Frequently Asked Questions

Which GPU has higher FP32 performance?

The MI325X delivers 1307 TFLOPS FP32, vastly exceeding the RTX 3070 Ti's 22 TFLOPS. This makes MI325X ideal for compute-intensive simulations. RTX 3070 Ti suffices for lighter tasks.

How much VRAM do these GPUs have?

MI325X features 256 GB HBM3e VRAM for large models. RTX 3070 Ti has 8 GB GDDR6X, suitable for smaller workloads. The difference impacts batch sizes directly.

What is the memory bandwidth comparison?

MI325X provides 6000 GB/s, nearly 10 times the RTX 3070 Ti's 608 GB/s. Higher bandwidth on MI325X reduces bottlenecks in data-heavy training. RTX 3070 Ti works for modest transfers.

What are the power requirements?

MI325X requires 750W TDP for datacenter use. RTX 3070 Ti uses 290W, fitting consumer power supplies. Choose based on infrastructure.

Is there cloud pricing available?

No live offers exist for MI325X currently. RTX 3070 Ti starts at $0.06 per hour, averaging $0.08 per hour across two providers. Pricing favors RTX 3070 Ti for testing.

Which is better for AI training?

MI325X dominates with 1307 TFLOPS FP16 and 256 GB VRAM for large-scale training. RTX 3070 Ti's 22 TFLOPS and 8 GB limit it to small models. Datacenter needs point to MI325X.

Which is cheaper to rent, the MI325X or the RTX 3070?

Cloud rental prices for both the MI325X and RTX 3070 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 RTX 3070?

The MI325X has 256 GB of HBM3e memory. The RTX 3070 has 8 GB of GDDR6 memory.

Can I find MI325X and RTX 3070 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 RTX 3070?

The MI325X uses the CDNA 3 architecture (2024) while the RTX 3070 uses Ampere (2020). The MI325X delivers 64.4x the FP16 throughput and 13.4x the memory bandwidth of the RTX 3070.