MI355X vs RTX 2070 SUPER

CDNA 4vsTuringUpdated 35 days ago

The MI355X triumphs for prevalent AI and HPC workloads: 288 GB VRAM, 8000 GB/s bandwidth, and 2300 TFLOPS overwhelm the RTX 2070 SUPER's 8 GB, 448 GB/s, and 9 TFLOPS. Consumer gaming remains the sole domain for the latter.

Specifications Compared

SpecMI355XRTX-2070
TDP750W175W
VRAM288 GB8 GB
Memory TypeHBM3eGDDR6
ArchitectureCDNA 4Turing
Form FactorsOAMPCIe
InterconnectInfinity FabricNVLink
FP8 Performance4,600 TFLOPS
FP16 Performance2,300 TFLOPS7.5 TFLOPS
FP32 Performance2300 TFLOPS7.5 TFLOPS
FP64 Performance72 TFLOPS
INT8 Performance4,600 TOPS
Memory Bandwidth8,000 GB/s448 GB/s

Performance Analysis

Compute specifications define their capabilities: the MI355X achieves 2300 TFLOPS in both FP16 and FP32, enabling swift AI training and inference on enormous models, while the RTX 2070 SUPER manages only 9 TFLOPS. Equal FP16 to FP32 ratios on both indicate balanced support for mixed-precision training, but the MI355X's scale accelerates iterations by over 255 times.

Memory bandwidth dictates practical limits: 8000 GB/s on the MI355X sustains large batch sizes without stalling data pipelines, ideal for LLMs exceeding 288 GB total size via multi-GPU Infinity Fabric links. The RTX 2070 SUPER's 448 GB/s confines it to small batches fitting within 8 GB VRAM, bottlenecking complex inference.

TDP reveals deployment contexts: 750W for the MI355X fits server farms, contrasting the 215W of the RTX 2070 SUPER for desktop efficiency.

Live Cloud Pricing

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When to Choose the MI355X

Select the MI355X for datacenter-scale AI: its 288 GB HBM3e VRAM loads full large language models without partitioning, paired with 2300 TFLOPS FP16 for rapid training cycles. The 8000 GB/s bandwidth ensures high throughput in multi-node Infinity Fabric clusters for HPC simulations.

It dominates professional cloud rentals where OAM form factor enables dense racks.

When to Choose the RTX 2070 SUPER

The RTX 2070 SUPER fits consumer desktops: PCIe compatibility and 215W TDP integrate seamlessly into gaming PCs or home workstations. Its 9 TFLOPS FP32 handles light Stable Diffusion or fine-tuning on models under 8 GB VRAM.

Choose it for budget gaming or casual creative tasks where datacenter power proves unnecessary.

Use Cases

LLM Training
MI355X

MI355X's 288 GB VRAM and 2300 TFLOPS FP16 enable training billion-parameter models without sharding. RTX 2070 SUPER's 8 GB VRAM restricts it to toy datasets.

LLM Inference
MI355X

8000 GB/s bandwidth on MI355X supports high-batch inference for production. RTX 2070 SUPER's 448 GB/s and 8 GB VRAM limit scale.

Fine-tuning
MI355X

2300 TFLOPS FP32 on MI355X accelerates full-model fine-tuning. RTX 2070 SUPER suffices only for small adapters under 8 GB.

Stable Diffusion
Either

RTX 2070 SUPER generates images effectively at 9 TFLOPS for desktops. MI355X excels in high-resolution batches via superior VRAM.

Scientific Computing
MI355X

MI355X's 2300 TFLOPS FP32 and Infinity Fabric optimize simulations. RTX 2070 SUPER handles basic tasks but lacks capacity.

Frequently Asked Questions

Which has more VRAM, MI355X or RTX 2070 SUPER?

MI355X offers 288 GB HBM3e VRAM. RTX 2070 SUPER provides 8 GB GDDR6. The difference allows MI355X to manage models far beyond consumer limits.

How do FP16 performances compare?

MI355X reaches 2300 TFLOPS FP16. RTX 2070 SUPER delivers 9 TFLOPS. MI355X provides over 255 times the half-precision compute for AI.

What is the memory bandwidth difference?

MI355X achieves 8000 GB/s. RTX 2070 SUPER hits 448 GB/s. Higher bandwidth on MI355X prevents data stalls in large batches.

Which GPU uses less power?

RTX 2070 SUPER has 215W TDP. MI355X requires 750W. Desktops prefer the lower consumption of RTX 2070 SUPER.

Is MI355X suitable for LLM training?

Yes, with 288 GB VRAM and 2300 TFLOPS FP16/FP32. RTX 2070 SUPER's 8 GB VRAM cannot accommodate large LLMs.

What architectures power these GPUs?

MI355X uses CDNA 4 from 2025 for datacenter AI. RTX 2070 SUPER employs Turing from 2018 for gaming. CDNA 4 prioritizes professional scalability.

Which is cheaper to rent, the MI355X or the RTX 2070?

Cloud rental prices for both the MI355X and RTX 2070 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 MI355X have compared to the RTX 2070?

The MI355X has 288 GB of HBM3e memory. The RTX 2070 has 8 GB of GDDR6 memory.

Can I find MI355X and RTX 2070 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 MI355X and the RTX 2070?

The MI355X uses the CDNA 4 architecture (2025) while the RTX 2070 uses Turing (2018). The MI355X delivers 306.7x the FP16 throughput and 17.9x the memory bandwidth of the RTX 2070.