Specifications Compared
| Spec | B300 | GH200 |
|---|---|---|
| TDP | 1200W | 900W |
| VRAM | 288 GB | 96 GB |
| Memory Type | HBM3e | HBM3 |
| Architecture | Blackwell Ultra | Hopper |
| Form Factors | SXM | SXM |
| Interconnect | NVSwitch, NVLink | NVLink-C2C, PCIe 5.0 |
| 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 | 4,000 GB/s |
Performance Analysis
Superior FP16 performance of 2250 TFLOPS on the B300 outpaces the GH200's 1979 TFLOPS, accelerating deep learning training where half-precision arithmetic prevails. The FP32 rating of 90 TFLOPS on B300 exceeds 67 TFLOPS on GH200, enhancing precision-bound simulations in scientific computing. These deltas translate to shorter training cycles for large neural networks on the newer GPU.
Memory bandwidth reaching 12000 GB/s on the B300 supports larger batch sizes during training, minimizing data transfer delays compared to 4000 GB/s on GH200. Coupled with 288 GB VRAM versus 96 GB, the B300 handles models exceeding 100 billion parameters without offloading, ideal for inference at scale. FP8 throughput of 4500 TFLOPS on B300 versus 3958 TFLOPS further boosts quantized inference efficiency.
Higher TDP of 1200W on B300 demands robust cooling, while GH200's 900W suits denser deployments.
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 | |||
 VERDA | NVIDIA B300 SXM6 262GB VRAM | 262GB | 30 vCPU 255GB RAM | Helsinki | $7.50/GPU/hr | Available | ||
VERDA | 2×NVIDIA B300 SXM6 262GB VRAM | 262GB | 60 vCPU 510GB RAM | Helsinki | $7.50/GPU/hr $15.00/hr total (2×) | Available | ||
VERDA | 8×NVIDIA B300 SXM6 262GB VRAM | 262GB | 240 vCPU 2040GB RAM | Helsinki | $7.50/GPU/hr $60.00/hr total (8×) | Available | ||
 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 |
GH200 Grace Hopper
| 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 |
When to Choose the B300 SXM6
Choose the B300 for large-scale LLM training: its 288 GB HBM3e VRAM accommodates models over 100 billion parameters, unlike the GH200's 96 GB limit. The 12000 GB/s bandwidth enables batch sizes triple those on GH200, speeding convergence.
Inference workloads with high memory needs favor B300, as 4500 TFLOPS FP8 performance sustains throughput for enterprise serving.
When to Choose the GH200 Grace Hopper
The GH200 fits budget-conscious projects: pricing from $1.99 per hour averaging $3.59 across four offers undercuts B300's $2.45 average $6.44. Its 1979 TFLOPS FP16 suffices for mid-sized model training.
Power-limited environments prefer GH200's 900W TDP over B300's 1200W, enabling more units per rack without thermal issues.
Use Cases
B300's 288 GB VRAM and 12000 GB/s bandwidth handle massive models and large batches, surpassing GH200's 96 GB and 4000 GB/s.
Higher FP8 performance of 4500 TFLOPS and 288 GB VRAM on B300 enable efficient serving of large models at scale over GH200's 3958 TFLOPS and 96 GB.
B300's superior FP16 of 2250 TFLOPS and ample 288 GB VRAM accelerate fine-tuning of billion-parameter models compared to GH200.
Both GPUs manage diffusion models well, but GH200's lower $1.99 per hour pricing suits prototyping while B300's bandwidth boosts generation speed.
GH200's 900W TDP and $3.59 average hourly cost fit FP32-heavy simulations at 67 TFLOPS, avoiding B300's higher power and expense.
Frequently Asked Questions
How much VRAM does the NVIDIA B300 have compared to GH200?▾
The B300 offers 288 GB of HBM3e VRAM, three times the GH200's 96 GB HBM3. This capacity allows B300 to load larger AI models without memory swapping. GH200 suits smaller datasets.
What are the current cloud prices for B300 and GH200?▾
B300 SXM6 starts at $2.45 per hour, averaging $6.44 across seven offers. GH200 Grace Hopper begins at $1.99 per hour, averaging $3.59 across four offers. Prices vary by provider and region.
Which GPU has higher FP16 performance?▾
B300 delivers 2250 TFLOPS in FP16, exceeding GH200's 1979 TFLOPS. This edge accelerates AI training tasks. FP32 follows suit at 90 TFLOPS versus 67 TFLOPS.
What is the memory bandwidth difference?▾
B300 provides 12000 GB/s bandwidth, triple GH200's 4000 GB/s. Higher bandwidth on B300 supports larger training batches. It reduces data bottlenecks in deep learning.
How do TDPs compare between B300 and GH200?▾
B300 requires 1200W TDP, higher than GH200's 900W. GH200 enables denser cloud deployments. B300 demands advanced cooling infrastructure.
Is B300 or GH200 better for large model inference?▾
B300 excels with 4500 TFLOPS FP8 and 288 GB VRAM for high-throughput inference of large models. GH200's 3958 TFLOPS and 96 GB limit scale. Choose based on model size.
Which is cheaper to rent, the B300 or the GH200?▾
Cloud rental prices for both the B300 and GH200 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 GH200?▾
The B300 has 288 GB of HBM3e memory. The GH200 has 96 GB of HBM3 memory.
Can I find B300 and GH200 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 GH200?▾
The B300 uses the Blackwell Ultra architecture (2025) while the GH200 uses Hopper (2023). The B300 delivers 1.1x the FP16 throughput and 3.0x the memory bandwidth of the GH200.