Specifications Compared
| Spec | GH200 | MI300X |
|---|---|---|
| TDP | 900W | 750W |
| VRAM | 96 GB | 192 GB |
| CUDA Cores | 16,896 | |
| Memory Type | HBM3 | HBM3 |
| Architecture | Hopper | CDNA 3 |
| Form Factors | SXM | OAM |
| Interconnect | NVLink-C2C, PCIe 5.0 | Infinity Fabric, PCIe 5.0 |
| Tensor Cores | 528 | |
| FP8 Performance | 3,958 TFLOPS | 2,614 TFLOPS |
| FP16 Performance | 1,979 TFLOPS | 1,307 TFLOPS |
| FP32 Performance | 67 TFLOPS | 163 TFLOPS |
| FP64 Performance | 34 TFLOPS | 81.7 TFLOPS |
| INT8 Performance | 3,958 TOPS | 2,614 TOPS |
| Memory Bandwidth | 4,000 GB/s | 5,300 GB/s |
Performance Analysis
Peak FP16 throughput defines training efficiency: GH200's 1979 TFLOPS surpasses MI300X's 1307 TFLOPS, enabling faster convergence in transformer model training. FP8 at 3958 TFLOPS on GH200 supports quantized inference workloads better than MI300X's 2614 TFLOPS. However, MI300X's 163 TFLOPS FP32 outperforms GH200's 67 TFLOPS, benefiting simulation and rendering tasks requiring precise single-precision math.
Memory specifications impact batch sizes directly: MI300X's 192 GB HBM3 and 5300 GB/s bandwidth accommodate larger batches in memory-bound inference compared to GH200's 96 GB and 4000 GB/s. This allows MI300X to process models exceeding 100 billion parameters without excessive sharding. GH200's higher TDP of 900W versus 750W demands more cooling, potentially limiting density in racks.
Interconnects shape scalability: NVLink-C2C on GH200 facilitates low-latency CPU-GPU communication, ideal for hybrid workloads, while MI300X's Infinity Fabric excels in AMD ecosystem multi-GPU clusters. These differences translate to real-world trade-offs in throughput per watt and model scale.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
GH200
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 960GB Storage | Atlanta | $1.99/GPU/hr | Available | ||
 Lambda Labs | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 64 vCPU 432GB RAM 4096GB Storage | Virginia | $2.29/GPU/hr | Available | ||
 Denvr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 7600GB Storage | Virginia | $3.87/GPU/hr | |||
 CoreWeave | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 7680GB Storage | United States | $6.50/GPU/hr |
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 GH200
GH200 suits high-throughput FP16 and FP8 workloads like LLM training: its 1979 TFLOPS FP16 and 3958 TFLOPS FP8 deliver superior speed over MI300X. Availability at $1.99 per hour across providers ensures immediate deployment, unlike MI300X's absent offers.
NVIDIA's NVLink-C2C and SXM form factor optimize multi-node scaling in established CUDA ecosystems, reducing development time for teams prioritizing raw compute.
When to Choose the MI300X
MI300X excels in memory-intensive scenarios: 192 GB HBM3 VRAM doubles GH200's 96 GB, supporting massive batch inference for models over 70B parameters. Higher 5300 GB/s bandwidth sustains throughput in bandwidth-limited tasks.
Lower 750W TDP versus 900W improves power efficiency, ideal for dense deployments, while 163 TFLOPS FP32 aids scientific computing beyond GH200's 67 TFLOPS.
Use Cases
GH200's 1979 TFLOPS FP16 exceeds MI300X's 1307 TFLOPS for faster training iterations. NVLink-C2C supports efficient scaling across nodes.
MI300X's 192 GB VRAM and 5300 GB/s bandwidth handle larger batches than GH200's 96 GB and 4000 GB/s. This reduces latency for serving massive models.
Both offer strong FP16: GH200 at 1979 TFLOPS and MI300X at 1307 TFLOPS suit parameter-efficient tuning. Choice depends on model size and ecosystem.
GH200's 3958 TFLOPS FP8 accelerates diffusion sampling over MI300X's 2614 TFLOPS. Higher peak compute benefits image generation throughput.
MI300X's 163 TFLOPS FP32 outperforms GH200's 67 TFLOPS for simulations. Infinity Fabric aids multi-GPU HPC clusters.
Frequently Asked Questions
Which GPU has more VRAM, GH200 or MI300X?▾
MI300X provides 192 GB HBM3 VRAM, double GH200's 96 GB HBM3. This enables larger models on MI300X without model parallelism. Bandwidth follows suit at 5300 GB/s versus 4000 GB/s.
What is the FP16 performance of GH200 versus MI300X?▾
GH200 delivers 1979 TFLOPS FP16, higher than MI300X's 1307 TFLOPS. This advantage speeds LLM training on GH200. FP8 follows at 3958 TFLOPS for GH200 against 2614 TFLOPS.
How do power requirements compare?▾
MI300X requires 750W TDP, lower than GH200's 900W. This improves efficiency for MI300X in power-constrained environments. Density benefits arise from the difference.
Is GH200 available in the cloud?▾
GH200 offers start from $1.99 per hour across two providers, averaging $1.99 per hour. MI300X has no live cloud offers currently. This makes GH200 more accessible.
Which has better FP32 performance?▾
MI300X achieves 163 TFLOPS FP32, surpassing GH200's 67 TFLOPS. Scientific simulations favor MI300X for precision tasks. FP16 remains GH200's strength.
What interconnects do they use?▾
GH200 features NVLink-C2C and PCIe 5.0 for CPU-GPU links. MI300X uses Infinity Fabric and PCIe 5.0 for scaling. Both support high-speed clusters.
Which is cheaper to rent, the GH200 or the MI300X?▾
Cloud rental prices for both the GH200 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 GH200 have compared to the MI300X?▾
The GH200 has 96 GB of HBM3 memory. The MI300X has 192 GB of HBM3 memory.
Can I find GH200 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 GH200 and the MI300X?▾
The GH200 uses the Hopper architecture (2023) while the MI300X uses CDNA 3 (2023). The MI300X delivers 0.7x the FP16 throughput and 1.3x the memory bandwidth of the GH200.