Specifications Compared
| Spec | MI300X | RTX-2070 |
|---|---|---|
| TDP | 750W | 175W |
| VRAM | 192 GB | 8 GB |
| Memory Type | HBM3 | GDDR6 |
| Architecture | CDNA 3 | Turing |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric, PCIe 5.0 | NVLink |
| FP8 Performance | 2,614 TFLOPS | |
| FP16 Performance | 1,307 TFLOPS | 7.5 TFLOPS |
| FP32 Performance | 163 TFLOPS | 7.5 TFLOPS |
| FP64 Performance | 81.7 TFLOPS | |
| INT8 Performance | 2,614 TOPS | |
| Memory Bandwidth | 5,300 GB/s | 448 GB/s |
Performance Analysis
FP16 performance defines training efficiency: MI300X delivers 1307 TFLOPS, enabling large-scale model training in fractions of the time required by RTX 2070's 7.5 TFLOPS. This 174-fold advantage accelerates gradient computations in deep learning pipelines. FP32 at 163 TFLOPS on MI300X supports precise simulations, while RTX 2070's 7.5 TFLOPS limits it to modest scopes.
Memory specs dictate practical limits: 192 GB HBM3 on MI300X permits enormous batch sizes for stable training of billion-parameter LLMs, avoiding out-of-memory errors common with RTX 2070's 8 GB GDDR6. Bandwidth of 5300 GB/s on MI300X minimizes data stalls during memory-intensive operations, compared to 448 GB/s on RTX 2070 which bottlenecks large datasets.
Inference benefits from FP8 capability: MI300X reaches 2614 TFLOPS for ultra-low latency serving, far beyond RTX 2070 capabilities. TDP differences, 750W versus 175W, influence cloud instance density and cooling needs.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
MI300X
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | AMD Instinct MI300X 192GB VRAM | 192GB | 24 vCPU 256GB RAM | 🌍global | $1.99/GPU/hr | |||
 Hot Aisle | AMD Instinct MI300X 192GB VRAM | 192GB | 8 vCPU 224GB RAM 12288GB Storage | Michigan | $1.99/GPU/hr | Available | ||
 Cirrascale | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 192 vCPU 2355GB RAM 44538GB Storage | United States | $3.08/GPU/hr $24.64/hr total (8×) | |||
 Crusoe | AMD Instinct MI300X 192GB VRAM | 192GB | 0 vCPU 0GB RAM | United States | $3.45/GPU/hr | |||
Cirrascale | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 192 vCPU 2355GB RAM 44538GB Storage | United States | $3.47/GPU/hr $27.76/hr total (8×) |
When to Choose the MI300X
Select the MI300X for demanding AI training: its 1307 TFLOPS FP16 and 192 GB VRAM handle massive LLMs with batch sizes infeasible on RTX 2070's 8 GB. Scientific computing with high-bandwidth needs leverages 5300 GB/s to process petabyte-scale data swiftly.
Inference at scale favors MI300X: 2614 TFLOPS FP8 supports thousands of queries per second, ideal for production deployments despite $2.63/hr average cost.
When to Choose the RTX 2070
The RTX 2070 suits budget prototyping: at $0.04/hr average, its 7.5 TFLOPS FP32 enables quick experiments on small models without high costs. Light inference or fine-tuning under 1 GB fits perfectly within 8 GB VRAM.
Gaming or entry-level Stable Diffusion benefits from 175W TDP and PCIe form factor, offering value in low-demand cloud spots from $0.02/hr.
Use Cases
MI300X's 1307 TFLOPS FP16 and 192 GB VRAM enable training billion-parameter models with large batches. RTX 2070's 7.5 TFLOPS and 8 GB limit it to tiny scales.
MI300X achieves 2614 TFLOPS FP8 for high-throughput serving. RTX 2070 cannot match due to low 7.5 TFLOPS FP16.
Small fine-tuning fits RTX 2070's 8 GB VRAM at low $0.04/hr cost. Larger tasks need MI300X's 192 GB.
RTX 2070 handles image generation adequately with 448 GB/s bandwidth at $0.02/hr. MI300X overkill for consumer-scale diffusion.
MI300X's 5300 GB/s bandwidth and 163 TFLOPS FP32 process vast simulations efficiently. RTX 2070's 448 GB/s constrains complex datasets.
Frequently Asked Questions
Is MI300X faster than RTX 2070 for AI training?▾
MI300X outperforms with 1307 TFLOPS FP16 versus RTX 2070's 7.5 TFLOPS, a 174 times advantage. This speeds large model training significantly. Memory of 192 GB HBM3 further enables bigger batches.
How much VRAM does MI300X have compared to RTX 2070?▾
MI300X provides 192 GB HBM3, dwarfing RTX 2070's 8 GB GDDR6. This allows handling models RTX 2070 cannot load. Bandwidth reaches 5300 GB/s on MI300X versus 448 GB/s.
What is the cloud pricing for these GPUs?▾
MI300X starts from $0.50/hr with $2.63/hr average across nine offers. RTX 2070 from $0.02/hr average $0.04/hr over two offers. Cost reflects performance gaps.
Can RTX 2070 handle LLM inference?▾
RTX 2070 manages small LLMs with 7.5 TFLOPS FP16 and 8 GB VRAM. Larger models exceed limits. MI300X's 2614 TFLOPS FP8 excels for production.
What are the power requirements?▾
MI300X draws 750W TDP, suiting datacenter racks. RTX 2070 uses 175W, fitting consumer setups. This impacts cloud instance choices.
MI300X vs RTX 2070 memory bandwidth?▾
MI300X offers 5300 GB/s, over 11 times RTX 2070's 448 GB/s. Higher bandwidth reduces bottlenecks in data-heavy tasks. Paired with 192 GB versus 8 GB capacity.
Which is cheaper to rent, the MI300X or the RTX 2070?▾
Cloud rental prices for both the MI300X 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 MI300X have compared to the RTX 2070?▾
The MI300X has 192 GB of HBM3 memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find MI300X 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 MI300X and the RTX 2070?▾
The MI300X uses the CDNA 3 architecture (2023) while the RTX 2070 uses Turing (2018). The MI300X delivers 174.3x the FP16 throughput and 11.8x the memory bandwidth of the RTX 2070.