Specifications Compared
| Spec | A100 | B300 |
|---|---|---|
| TDP | 400W | 1200W |
| VRAM | 40-80 GB | 288 GB |
| CUDA Cores | 6,912 | |
| Memory Type | HBM2e | HBM3e |
| Architecture | Ampere | Blackwell Ultra |
| Form Factors | SXM4, PCIe | SXM |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | NVSwitch, NVLink |
| Tensor Cores | 432 | |
| FP16 Performance | 312 TFLOPS | 2,250 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 90 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 45 TFLOPS |
| INT8 Performance | 624 TOPS | 4,500 TOPS |
| Memory Bandwidth | 2,039 GB/s | 12,000 GB/s |
Performance Analysis
The B300 demonstrates vast performance advantages over the A100 in compute capabilities. FP16 performance jumps from 312 TFLOPS to 2250 TFLOPS, enabling up to 7 times faster matrix operations critical for deep learning training. FP32 improves from 19.5 TFLOPS to 90 TFLOPS, accelerating single-precision tasks by over 4.6 times.
Memory specifications transform real-world usability. The B300's 288 GB HBM3e VRAM dwarfs the A100's maximum 80 GB, supporting models with billions of parameters without multi-GPU sharding. Bandwidth escalates from 2039 GB/s to 12000 GB/s, roughly 6 times higher, which permits larger batch sizes and reduces data loading bottlenecks during training epochs.
For inference, the B300's FP8 at 4500 TFLOPS optimizes low-precision deployments, slashing latency for high-throughput serving. The A100 suits moderate workloads, but the B300 excels in scaling to frontier models where memory and bandwidth constraints previously limited progress.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 794GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
 LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 646GB Storage | Czechia | $1.07/GPU/hr | Available | ||
 Denvr | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 1024GB RAM 15200GB Storage | Virginia | $1.15/GPU/hr $9.20/hr total (8×) |
B300
| 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 | 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 |
When to Choose the A100
The A100 serves cost-conscious deployments effectively. With pricing from $0.60 per hour and average $1.93 per hour across 58 offers, it provides strong value for FP16 at 312 TFLOPS and up to 80 GB VRAM. Mature software support and PCIe compatibility make it ideal for development, prototyping, or smaller-scale production where 2039 GB/s bandwidth suffices.
Legacy clusters or InfiniBand networks favor the A100's 400W TDP and broad form factors over the B300's higher demands.
When to Choose the B300
The B300 targets high-end AI research and production. Its 288 GB VRAM and 12000 GB/s bandwidth handle massive models infeasible on the A100's 80 GB limit. FP16 at 2250 TFLOPS and FP8 at 4500 TFLOPS deliver breakthrough speeds for training and inference.
NVSwitch interconnects enable seamless multi-GPU scaling for enterprises prioritizing performance over the A100's lower $1.93 per hour average cost.
Use Cases
The B300's 2250 TFLOPS FP16 and 288 GB VRAM enable training of massive models with large batches. The A100's 312 TFLOPS and 80 GB maximum limit scalability.
FP8 at 4500 TFLOPS and 12000 GB/s bandwidth on the B300 minimize latency for high-throughput serving. The A100 lacks FP8 support and sufficient memory for frontier LLMs.
Fine-tuning smaller models fits the A100's 80 GB VRAM and $1.93 per hour average cost. The B300 accelerates larger adaptations with 288 GB but at higher expense.
The A100's 312 TFLOPS FP16 and 2039 GB/s bandwidth handle image generation efficiently at lower $0.60 per hour starting price. B300 overkill raises unnecessary costs.
FP32 at 19.5 TFLOPS and 400W TDP suit simulations on the A100 with wide availability. B300's 1200W power suits specialized HPC less commonly.
Frequently Asked Questions
Which GPU has more VRAM: A100 or B300?▾
The B300 provides 288 GB HBM3e VRAM. The A100 offers 40 to 80 GB HBM2e. This difference allows the B300 to load much larger models single-GPU.
How does B300 FP16 performance compare to A100?▾
B300 FP16 reaches 2250 TFLOPS versus A100's 312 TFLOPS. This yields about 7 times higher throughput for AI training tasks. Real-world speedups scale with model size.
What is the pricing difference between A100 and B300?▾
A100 starts at $0.60 per hour average $1.93 per hour across 58 offers. B300 starts at $2.45 per hour average $6.35 per hour across 6 offers. A100 provides better cost efficiency for general use.
Does B300 support FP8, and why does it matter?▾
B300 delivers 4500 TFLOPS FP8 performance; A100 does not list FP8. FP8 accelerates inference for large language models with minimal accuracy loss. It enables higher serving throughput.
What are the memory bandwidth specs for A100 vs B300?▾
A100 bandwidth is 2039 GB/s. B300 reaches 12000 GB/s. Higher bandwidth on B300 supports bigger batches and faster data movement in training.
Which has lower power consumption?▾
A100 TDP is 400W. B300 TDP is 1200W. Lower TDP makes A100 preferable for power-constrained or dense cloud deployments.
Which is cheaper to rent, the A100 or the B300?▾
Cloud rental prices for both the A100 and B300 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 A100 have compared to the B300?▾
The A100 has 40 to 80 GB of HBM2e memory. The B300 has 288 GB of HBM3e memory.
Can I find A100 and B300 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 A100 and the B300?▾
The A100 uses the Ampere architecture (2020) while the B300 uses Blackwell Ultra (2025). The B300 delivers 7.2x the FP16 throughput and 5.9x the memory bandwidth of the A100.