Specifications Compared
| Spec | B300 | H100 |
|---|---|---|
| TDP | 1200W | 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
Compute throughput defines key advantages for AI tasks: the B300 achieves 2250 TFLOPS in FP16 and 90 TFLOPS in FP32, exceeding the H100's 1979 TFLOPS FP16 and 67 TFLOPS FP32. These gains accelerate training phases reliant on FP32 precision and mixed-precision FP16 operations, reducing epoch times for models with billions of parameters. FP8 performance at 4500 TFLOPS on the B300 edges out the H100's 3958 TFLOPS, benefiting inference on quantized models.
Memory capacity and bandwidth transform real-world scalability. The B300's 288 GB HBM3e VRAM supports model sizes and batch sizes infeasible on the H100's 80-94 GB HBM3, such as full fine-tuning of 175 billion parameter LLMs without sharding. Its 12000 GB/s bandwidth minimizes data movement latency, allowing larger effective batch sizes in training and higher throughput in inference compared to the H100's 3350 GB/s limit.
Power draw reveals efficiency trade-offs: the B300 demands 1200W TDP versus the H100's 700W. While the B300 delivers superior density, the H100 suits power-constrained clusters, though overall system throughput favors the newer architecture in bandwidth-intensive scenarios.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B300 SXM6
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA B300 SXM6 262GB VRAM | 262GB | 0 vCPU 0GB RAM | 🌍global | $7.39/GPU/hr | |||
 Scaleway | 8×NVIDIA B300 SXM6 262GB VRAM | 262GB | 224 vCPU 3840GB RAM 22352GB Storage | Paris | $8.73/GPU/hr $69.84/hr total (8×) | Available |
H100 NVL
| 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 B300 SXM6
The B300 SXM6 excels in memory-intensive workloads. Its 288 GB HBM3e VRAM and 12000 GB/s bandwidth enable training or inference on massive models like those exceeding 100 billion parameters without multi-GPU sharding. Users prioritizing peak performance over cost select it for frontier AI research.
NVSwitch and NVLink interconnects on the B300 optimize multi-GPU scaling, ideal for clusters handling petabyte-scale datasets at 2250 TFLOPS FP16.
When to Choose the H100 NVL
The H100 NVL offers superior value for cost-sensitive deployments. At $1.40 per hour starting price and $2.89 per hour average, it undercuts the B300's $2.45 to $6.44 per hour range while delivering 1979 TFLOPS FP16. Lower 700W TDP reduces cooling and energy costs in dense cloud setups.
Versatile form factors including NVL and interconnects like PCIe 5.0 and InfiniBand make the H100 suitable for mixed workloads where 80-94 GB VRAM suffices, avoiding overprovisioning.
Use Cases
The B300's 288 GB VRAM and 12000 GB/s bandwidth accommodate massive models and large batch sizes essential for efficient LLM training. Its 90 TFLOPS FP32 exceeds the H100's 67 TFLOPS for precision-critical phases.
4500 TFLOPS FP8 and 288 GB VRAM on the B300 enable high-throughput serving of large quantized models. Bandwidth of 12000 GB/s supports bigger batches than the H100's 3350 GB/s.
2250 TFLOPS FP16 and ample 288 GB VRAM allow full-model fine-tuning without sharding. The B300 outperforms the H100's 1979 TFLOPS FP16 for faster iterations.
Both GPUs handle image generation well, but H100's lower $1.40 per hour pricing suits frequent small-batch runs. B300's memory aids high-resolution batches.
H100's 67 TFLOPS FP32 and 700W TDP provide balanced efficiency for simulations. Lower costs at $2.89 per hour average make it preferable over B300's power draw.
Frequently Asked Questions
Which GPU has more VRAM?▾
The B300 offers 288 GB HBM3e VRAM. The H100 provides 80-94 GB HBM3. This difference allows the B300 to load much larger models in memory.
How do cloud prices compare?▾
B300 SXM6 starts at $2.45 per hour, averaging $6.44 per hour across 7 offers. H100 NVL begins at $1.40 per hour, averaging $2.89 per hour over 9 offers. H100 delivers better value for budget-conscious users.
What are the FP16 performance differences?▾
B300 achieves 2250 TFLOPS FP16. H100 reaches 1979 TFLOPS FP16. The B300 edge accelerates mixed-precision AI training.
Which has higher memory bandwidth?▾
B300 bandwidth is 12000 GB/s. H100 offers 3350 GB/s. Higher bandwidth on B300 supports larger batch sizes in training.
What is the TDP comparison?▾
B300 TDP is 1200W. H100 TDP is 700W. Lower power on H100 reduces operational costs in clusters.
Which architecture is newer?▾
B300 uses Blackwell Ultra from 2025. H100 employs Hopper from 2022. Blackwell brings advancements in compute and memory.
Which is cheaper to rent, the B300 or the H100?▾
Cloud rental prices for both the B300 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 B300 have compared to the H100?▾
The B300 has 288 GB of HBM3e memory. The H100 has 80 to 94 GB of HBM3 memory.
Can I find B300 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 B300 and the H100?▾
The B300 uses the Blackwell Ultra architecture (2025) while the H100 uses Hopper (2022). The B300 delivers 1.1x the FP16 throughput and 3.6x the memory bandwidth of the H100.