Specifications Compared
| Spec | GB300 | H100 |
|---|---|---|
| TDP | 1400W | 700W |
| VRAM | 288 GB | 80-94 GB |
| Memory Type | HBM3e | HBM3 |
| Architecture | Blackwell Ultra | Hopper |
| Form Factors | SXM | SXM5, PCIe, NVL |
| Interconnect | NVSwitch, NVLink | NVLink, PCIe 5.0, InfiniBand |
| FP8 Performance | 4,500 TFLOPS | 3,958 TFLOPS |
| FP16 Performance | 2,250 TFLOPS | 1,979 TFLOPS |
| FP32 Performance | 90 TFLOPS | 67 TFLOPS |
| FP64 Performance | 45 TFLOPS | 34 TFLOPS |
| INT8 Performance | 4,500 TOPS | 3,958 TOPS |
| Memory Bandwidth | 12,000 GB/s | 3,350 GB/s |
Performance Analysis
FP16 performance of 2250 TFLOPS on the GB300 SXM6 accelerates AI model training by handling more operations per second than the H100 SXM5's 1979 TFLOPS, reducing epochs for large datasets. FP32 at 90 TFLOPS benefits HPC tasks like fluid dynamics over the H100 SXM5's 67 TFLOPS. For inference, FP8 throughput of 4500 TFLOPS on GB300 SXM6 supports higher query rates in production LLMs compared to 3958 TFLOPS on H100 SXM5. The 12000 GB/s memory bandwidth enables larger batch sizes in training, minimizing data loading bottlenecks that constrain the H100 SXM5 at 3350 GB/s. This delta proves critical for trillion-parameter models, where H100 SXM5 may require model parallelism sooner. Higher TDP of 1400W on GB300 SXM6 demands robust cooling, contrasting the 700W efficiency of H100 SXM5.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 SXM5
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Hyperstack | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 124 vCPU 720GB RAM 3300GB Storage | Canada | $1.90/GPU/hr $7.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA H100 PCIe 80GB VRAM | 80GB | 60 vCPU 360GB RAM 1600GB Storage | Canada | $1.90/GPU/hr $3.80/hr total (2×) | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.90/GPU/hr $15.20/hr total (8×) | Available | ||
Hyperstack | NVIDIA H100 PCIe 80GB VRAM | 80GB | 28 vCPU 180GB RAM 850GB Storage | Canada | $1.90/GPU/hr | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.95/GPU/hr $15.60/hr total (8×) | Available |
When to Choose the GB300 SXM6
Select the GB300 SXM6 for frontier AI research involving models exceeding 100 billion parameters, as its 288 GB HBM3e VRAM and 12000 GB/s bandwidth manage massive contexts without excessive sharding. It excels in NVSwitch clusters for multi-GPU training, delivering 2250 TFLOPS FP16 to cut timelines on exascale workloads.
When to Choose the H100 SXM5
The H100 SXM5 suits immediate deployments with cloud pricing from $0.80 per hour across 35 offers, averaging $3.54 per hour. Its 700W TDP fits denser racks, and 1979 TFLOPS FP16 handles production inference or fine-tuning up to 70B models efficiently via NVLink and PCIe 5.0.
Use Cases
GB300 SXM6's 288 GB VRAM and 2250 TFLOPS FP16 support trillion-parameter models, outperforming H100 SXM5's 80-94 GB and 1979 TFLOPS.
4500 TFLOPS FP8 on GB300 SXM6 handles high-throughput serving with 12000 GB/s bandwidth, surpassing H100 SXM5's 3958 TFLOPS.
H100 SXM5's availability at $0.80/hr and 1979 TFLOPS FP16 suffice for 70B model adaptations, avoiding GB300 SXM6's wait and 1400W draw.
Both deliver ample FP16 above 1979 TFLOPS for image generation; H100 SXM5 offers cost savings, while GB300 SXM6 scales batches via 288 GB VRAM.
90 TFLOPS FP32 and 12000 GB/s bandwidth on GB300 SXM6 accelerate simulations over H100 SXM5's 67 TFLOPS and 3350 GB/s.
Frequently Asked Questions
What is the VRAM difference between GB300 SXM6 and H100 SXM5?▾
GB300 SXM6 has 288 GB HBM3e VRAM, compared to 80-94 GB HBM3 on H100 SXM5. This allows GB300 SXM6 to load larger models without partitioning.
How does memory bandwidth compare?▾
GB300 SXM6 achieves 12000 GB/s, over 3.5 times the H100 SXM5's 3350 GB/s. Higher bandwidth reduces latency in data-intensive AI training.
What are the FP16 performance specs?▾
GB300 SXM6 delivers 2250 TFLOPS FP16, exceeding H100 SXM5's 1979 TFLOPS. This boosts training speed for deep learning workloads.
Is H100 SXM5 available for rent now?▾
Yes, H100 SXM5 cloud pricing starts at $0.80 per hour, averaging $3.54 per hour across 35 offers. GB300 SXM6 has no live offers yet.
What is the power consumption difference?▾
GB300 SXM6 requires 1400W TDP, double the H100 SXM5's 700W. This impacts rack density and cooling needs.
Which has better FP8 for inference?▾
GB300 SXM6 provides 4500 TFLOPS FP8, ahead of H100 SXM5's 3958 TFLOPS. It enables faster LLM serving at scale.
Which is cheaper to rent, the GB300 or the H100?▾
Cloud rental prices for both the GB300 and H100 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 GB300 have compared to the H100?▾
The GB300 has 288 GB of HBM3e memory. The H100 has 80 to 94 GB of HBM3 memory.
Can I find GB300 and H100 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 GB300 and the H100?▾
The GB300 uses the Blackwell Ultra architecture (2025) while the H100 uses Hopper (2022). The GB300 delivers 1.1x the FP16 throughput and 3.6x the memory bandwidth of the H100.