H100 SXM5 vs MI300X

HoppervsCDNA 3Updated 35 days ago

The H100 SXM5 emerges as the winner for prevalent AI workloads like LLM training and inference, thanks to 1979 TFLOPS FP16 and 3958 TFLOPS FP8 that accelerate mixed-precision tasks. Despite MI300X's memory edge at 192 GB and lower $2.63/hr average cost, H100's ecosystem maturity and compute lead justify selection for most users.

H100 SXM5 from $1.90/hrMI300X from $1.99/hr

Specifications Compared

SpecH100MI300X
TDP700W750W
VRAM80-94 GB192 GB
CUDA Cores16,896
Memory TypeHBM3HBM3
ArchitectureHopperCDNA 3
Form FactorsSXM5, PCIe, NVLOAM
InterconnectNVLink, PCIe 5.0, InfiniBandInfinity Fabric, PCIe 5.0
Tensor Cores528
FP8 Performance3,958 TFLOPS2,614 TFLOPS
FP16 Performance1,979 TFLOPS1,307 TFLOPS
FP32 Performance67 TFLOPS163 TFLOPS
FP64 Performance34 TFLOPS81.7 TFLOPS
INT8 Performance3,958 TOPS2,614 TOPS
Memory Bandwidth3,350 GB/s5,300 GB/s

Performance Analysis

FP16 performance differentiates these GPUs for AI training: H100 achieves 1979 TFLOPS, enabling faster mixed-precision computations common in LLM training compared to MI300X's 1307 TFLOPS. FP8 throughput follows suit, with H100 at 3958 TFLOPS ideal for quantized inference, outpacing MI300X's 2614 TFLOPS. These advantages stem from Hopper's tensor core optimizations, reducing epochs in deep learning pipelines.

MI300X counters with superior FP32 performance at 163 TFLOPS against H100's 67 TFLOPS, benefiting simulations or legacy codes reliant on single-precision arithmetic. Memory specs profoundly affect real-world usage: MI300X's 192 GB VRAM and 5300 GB/s bandwidth support larger batch sizes or models without offloading, minimizing latency in memory-bound tasks. H100's 80-94 GB and 3350 GB/s suffice for many workloads but constrain extreme scales. Power draw is close, 700W for H100 versus 750W for MI300X, with interconnects like NVLink on H100 aiding multi-GPU setups over MI300X's Infinity Fabric.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

H100 SXM5

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Hyperstack
Hyperstack
4×NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
$7.60/hr total (4×)
Available
Hyperstack
Hyperstack
2×NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
$3.80/hr total (2×)
Available
Hyperstack
Hyperstack
8×NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
$15.20/hr total (8×)
Available
Hyperstack
Hyperstack
NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
Available
Voltage Park
Voltage Park
8×NVIDIA H100 SXM5
80GB VRAM
$1.99/GPU/hr
$15.92/hr total (8×)

MI300X

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
RunPod
RunPod
AMD Instinct MI300X
192GB VRAM
$1.99/GPU/hr
Hot Aisle
Hot Aisle
AMD Instinct MI300X
192GB VRAM
$1.99/GPU/hr
Available
Cirrascale
Cirrascale
8×AMD Instinct MI300X
192GB VRAM
$3.08/GPU/hr
$24.64/hr total (8×)
Crusoe
Crusoe
AMD Instinct MI300X
192GB VRAM
$3.45/GPU/hr
Cirrascale
Cirrascale
8×AMD Instinct MI300X
192GB VRAM
$3.47/GPU/hr
$27.76/hr total (8×)

Compare real-time pricing across 25+ providers

When to Choose the H100 SXM5

The H100 SXM5 excels in FP16 and FP8 intensive scenarios such as LLM training and inference. Its 1979 TFLOPS FP16 and 3958 TFLOPS FP8 deliver superior throughput for mixed-precision workflows. NVLink interconnect enhances scaling in NVIDIA-centric clusters, and 32 cloud offers from $0.80/hr provide broad availability.

When to Choose the MI300X

The MI300X is optimal for memory-constrained or FP32-heavy applications. 192 GB HBM3 VRAM and 5300 GB/s bandwidth enable handling of massive datasets or large batches without fragmentation. At $0.50/hr starting price averaging $2.63/hr, it offers better value for cost-sensitive deployments.

Use Cases

LLM Training
H100 SXM5

H100's 1979 TFLOPS FP16 outperforms MI300X's 1307 TFLOPS, speeding mixed-precision training. NVIDIA's software optimizations further enhance efficiency.

LLM Inference
H100 SXM5

H100's 3958 TFLOPS FP8 excels in quantized inference, surpassing MI300X's 2614 TFLOPS. This reduces latency for high-throughput serving.

Fine-tuning
Either

Both handle fine-tuning well, but H100's FP16 edge aids speed while MI300X's 192 GB VRAM supports larger models. Choice depends on model size.

Stable Diffusion
MI300X

MI300X's 192 GB VRAM and 5300 GB/s bandwidth manage high-resolution generations and large batches better than H100's 80-94 GB.

Scientific Computing
MI300X

MI300X's 163 TFLOPS FP32 significantly exceeds H100's 67 TFLOPS, accelerating simulations and numerical workloads.

Frequently Asked Questions

Which GPU has more VRAM, H100 or MI300X?

The MI300X provides 192 GB HBM3 VRAM, doubling H100's 80-94 GB capacity. This enables MI300X to accommodate larger models or datasets in memory-intensive tasks. H100 remains sufficient for many standard AI workloads.

How do H100 and MI300X compare in FP16 performance?

H100 delivers 1979 TFLOPS FP16, higher than MI300X's 1307 TFLOPS. This advantage benefits LLM training with mixed precision. MI300X compensates in other areas like memory bandwidth at 5300 GB/s.

What are the cloud pricing differences for H100 SXM5 vs MI300X?

H100 SXM5 starts from $0.80/hr with an average of $3.54/hr across 32 offers. MI300X begins at $0.50/hr averaging $2.63/hr over 9 offers. MI300X provides better entry-level value.

Which has higher memory bandwidth?

MI300X offers 5300 GB/s, exceeding H100's 3350 GB/s. Higher bandwidth on MI300X reduces bottlenecks in data-heavy operations. This impacts batch sizes in training.

Is MI300X better for FP32 workloads than H100?

MI300X achieves 163 TFLOPS FP32, outperforming H100's 67 TFLOPS. It suits scientific computing or simulations requiring single precision. H100 prioritizes lower-precision AI tasks.

What are the TDPs of H100 and MI300X?

H100 has a 700W TDP, while MI300X draws 750W. Both demand robust cooling in data centers. Power differences are minor relative to performance gains.

Which is cheaper to rent, the H100 or the MI300X?

Cloud rental prices for both the H100 and MI300X 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 H100 have compared to the MI300X?

The H100 has 80 to 94 GB of HBM3 memory. The MI300X has 192 GB of HBM3 memory.

Can I find H100 and MI300X 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 H100 and the MI300X?

The H100 uses the Hopper architecture (2022) while the MI300X uses CDNA 3 (2023). The H100 delivers 1.5x the FP16 throughput and 1.6x the memory bandwidth of the MI300X.

H100 SXM5 vs MI300X: NVIDIA 94GB vs AMD 192GB | GPUPerHour