Specifications Compared
| Spec | L4 | MI355X |
|---|---|---|
| TDP | 72W | 750W |
| VRAM | 24 GB | 288 GB |
| CUDA Cores | 7,424 | |
| Memory Type | GDDR6 | HBM3e |
| Architecture | Ada Lovelace | CDNA 4 |
| Form Factors | PCIe | OAM |
| Interconnect | PCIe 4.0 | Infinity Fabric |
| Tensor Cores | 232 | |
| FP8 Performance | 242 TFLOPS | 4,600 TFLOPS |
| FP16 Performance | 121 TFLOPS | 2,300 TFLOPS |
| FP32 Performance | 30.3 TFLOPS | 2300 TFLOPS |
| FP64 Performance | 0.5 TFLOPS | 72 TFLOPS |
| INT8 Performance | 242 TOPS | 4,600 TOPS |
| Memory Bandwidth | 300 GB/s | 8,000 GB/s |
Performance Analysis
Compute disparities define workload suitability: the MI355X delivers 2300 TFLOPS FP16, 19 times the L4's 121 TFLOPS, accelerating half-precision training and inference. The L4's FP32 at 30.3 TFLOPS lags MI355X's matched 2300 TFLOPS, limiting precision tasks like simulations on NVIDIA while AMD excels equally across precisions.
Memory specs transform real-world usage. MI355X's 8000 GB/s bandwidth, 26.7 times L4's 300 GB/s, supports massive batch sizes in LLM inference, minimizing latency via larger key-value caches. L4's 24 GB VRAM constrains models over 70B parameters, whereas MI355X's 288 GB handles multi-trillion parameter scales without multi-GPU sharding.
FP8 peaks at 4600 TFLOPS on MI355X versus 242 TFLOPS on L4 favor quantized inference on AMD, reducing memory footprint by 75 percent for deployment. Power draw amplifies this: L4's 72W enables 10x density over MI355X's 750W in racks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
L4
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA L4 24GB VRAM | 24GB | 64 vCPU 101GB RAM 485GB Storage | Iceland | $0.33/GPU/hr | Available | ||
 RunPod | NVIDIA L4 24GB VRAM | 24GB | 12 vCPU 50GB RAM | 🌍global | $0.39/GPU/hr | |||
 TensorDock | NVIDIA L40S 48GB VRAM | 48GB | 0 vCPU 0GB RAM | Wolverhampton | $0.55/GPU/hr | Available | ||
RunPod | NVIDIA L40 48GB VRAM | 48GB | 8 vCPU 94GB RAM | 🌍global | $0.82/GPU/hr | |||
RunPod | NVIDIA L40S 48GB VRAM | 48GB | 16 vCPU 94GB RAM | 🌍global | $0.86/GPU/hr |
When to Choose the L4
Select the L4 for power-constrained or budget-limited cloud inference. Its 72W TDP fits edge servers and dense racks, avoiding the MI355X's 750W cooling demands. Availability across 15 offers at $0.32/hr to $0.68/hr avg delivers 121 TFLOPS FP16 for real-time tasks like Stable Diffusion without wait times.
Low interconnect needs via PCIe 4.0 suit single-node deployments where 24 GB VRAM suffices for models under 30B parameters.
When to Choose the MI355X
The MI355X dominates memory-bound training and large-scale inference. 288 GB HBM3e VRAM accommodates full LLMs up to 1T parameters, unlike L4's 24 GB limit. 8000 GB/s bandwidth enables batch sizes 20x larger, slashing throughput time.
Infinity Fabric interconnect scales multi-GPU clusters for 2300 TFLOPS FP16/FP32, ideal for scientific computing despite 750W TDP.
Use Cases
MI355X's 2300 TFLOPS FP16/FP32 and 288 GB HBM3e VRAM support massive datasets and models, far exceeding L4's 121 TFLOPS FP16 and 24 GB GDDR6.
8000 GB/s bandwidth and 288 GB VRAM on MI355X allow huge batch sizes and KV caches for low-latency serving, versus L4's 300 GB/s and 24 GB constraints.
MI355X handles parameter-efficient tuning on large models with 2300 TFLOPS FP16 and ample VRAM, outperforming L4 for scales beyond 24 GB.
L4's Ada Lovelace architecture and 121 TFLOPS FP16 suit image generation efficiently at 72W, with cloud pricing from $0.32/hr for accessible deployment.
MI355X's equal 2300 TFLOPS FP16/FP32 excels in precision simulations, with 288 GB VRAM for large datasets over L4's imbalanced 30.3 TFLOPS FP32.
Frequently Asked Questions
What is the VRAM capacity of L4 versus MI355X?▾
The L4 offers 24 GB GDDR6 VRAM. The MI355X provides 288 GB HBM3e VRAM, enabling 12 times more model capacity for large AI tasks.
How do memory bandwidths compare?▾
L4 achieves 300 GB/s bandwidth. MI355X reaches 8000 GB/s, a 26.7-fold increase supporting larger batches in training and inference.
What are the FP16 performance differences?▾
L4 delivers 121 TFLOPS FP16. MI355X provides 2300 TFLOPS FP16, roughly 19 times faster for half-precision workloads.
What is the TDP for each GPU?▾
The L4 has a 72W TDP for low-power use. MI355X requires 750W, suiting high-end data centers with advanced cooling.
Is the MI355X available in cloud providers now?▾
No live offers exist for MI355X currently. L4 appears across 15 providers from $0.32/hr averaging $0.68/hr.
Which GPU has higher FP8 performance?▾
MI355X leads with 4600 TFLOPS FP8. L4 offers 242 TFLOPS FP8, making AMD preferable for quantized inference.
Which is cheaper to rent, the L4 or the MI355X?▾
Cloud rental prices for both the L4 and MI355X 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 L4 have compared to the MI355X?▾
The L4 has 24 GB of GDDR6 memory. The MI355X has 288 GB of HBM3e memory.
Can I find L4 and MI355X 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 L4 and the MI355X?▾
The L4 uses the Ada Lovelace architecture (2023) while the MI355X uses CDNA 4 (2025). The MI355X delivers 19.0x the FP16 throughput and 26.7x the memory bandwidth of the L4.