Specifications Compared
| Spec | B300 | RTX-2080 |
|---|---|---|
| TDP | 1200W | 215W |
| VRAM | 288 GB | 8-11 GB |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell Ultra | Turing |
| Form Factors | SXM | PCIe |
| Interconnect | NVSwitch, NVLink | NVLink |
| FP8 Performance | 4,500 TFLOPS | |
| FP16 Performance | 2,250 TFLOPS | 10.1 TFLOPS |
| FP32 Performance | 90 TFLOPS | 10.1 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | |
| Memory Bandwidth | 12,000 GB/s | 616 GB/s |
Performance Analysis
The B300's 2250 TFLOPS FP16 performance towers over the RTX 2080's 10.1 TFLOPS, accelerating AI training and inference where half-precision dominates. Its 90 TFLOPS FP32 still exceeds the RTX 2080's 10.1 TFLOPS for single-precision tasks like simulations. This FP16/FP32 delta signals the B300's tensor core optimization for deep learning, while the RTX 2080 offers balanced but dated throughput.
Memory bandwidth of 12000 GB/s on the B300 enables massive batch sizes for training billion-parameter models without swapping, unlike the RTX 2080's 616 GB/s which limits datasets to small scales. The B300's 288 GB HBM3e VRAM supports models exceeding 100 GB, avoiding multi-GPU setups required by the RTX 2080's 8-11 GB GDDR6.
TDP reaches 1200W on the B300 for sustained peak output in clusters, contrasting the RTX 2080's 215W efficiency for edge or desktop use. Interconnects like NVSwitch on the B300 enhance multi-GPU scaling beyond the RTX 2080's NVLink.
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 | 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 |
RTX 2080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 2080 Ti 11GB VRAM | 11GB | 32 vCPU 63GB RAM 1273GB Storage | Maryland | $0.13/GPU/hr | Available |
When to Choose the B300 SXM6
Enterprises training large language models select the B300 for its 288 GB HBM3e VRAM and 2250 TFLOPS FP16, handling trillion-parameter datasets in single-GPU setups. High-throughput inference benefits from 4500 TFLOPS FP8 and 12000 GB/s bandwidth, serving millions of queries daily. HPC simulations leverage 90 TFLOPS FP32 in NVSwitch-connected clusters.
When to Choose the RTX 2080
Budget-conscious users opt for the RTX 2080 at $0.05 per hour for gaming or small-scale ML prototyping. Stable Diffusion image generation runs smoothly on 8-11 GB GDDR6 with 10.1 TFLOPS FP16. Light fine-tuning of sub-1B parameter models fits its 616 GB/s bandwidth without excessive costs.
Use Cases
The B300's 288 GB HBM3e VRAM and 2250 TFLOPS FP16 support training models with trillions of parameters on single GPUs. RTX 2080's 8-11 GB limits it to tiny models.
4500 TFLOPS FP8 and 12000 GB/s bandwidth on B300 enable high-volume serving of large models. RTX 2080's 10.1 TFLOPS FP16 handles only small deployments.
B300 manages full fine-tuning of 100B+ models via 288 GB VRAM. RTX 2080 suits sub-1B models but requires quantization.
RTX 2080's 10.1 TFLOPS FP16 generates images quickly at $0.05 per hour. B300 overkill for consumer-scale diffusion.
B300's 90 TFLOPS FP32 and NVSwitch scaling accelerate simulations. RTX 2080's 10.1 TFLOPS suffices for basic tasks only.
Frequently Asked Questions
What is the VRAM capacity of NVIDIA B300 SXM6 versus RTX 2080?▾
The B300 SXM6 features 288 GB HBM3e VRAM. The RTX 2080 provides 8-11 GB GDDR6. This difference allows B300 to load massive AI models without partitioning.
How do memory bandwidths compare between B300 and RTX 2080?▾
B300 SXM6 delivers 12000 GB/s bandwidth. RTX 2080 offers 616 GB/s. Higher bandwidth on B300 supports larger batch sizes in training.
What are the current cloud prices for these GPUs?▾
B300 SXM6 starts at $2.45 per hour, averaging $6.44 per hour across 7 offers. RTX 2080 begins at $0.05 per hour, averaging $0.07 per hour across 2 offers.
Which GPU has higher FP16 performance?▾
B300 achieves 2250 TFLOPS FP16. RTX 2080 reaches 10.1 TFLOPS FP16. B300 excels in AI workloads using half-precision.
What are the TDP ratings?▾
B300 SXM6 consumes 1200W TDP for peak datacenter performance. RTX 2080 uses 215W, suitable for consumer systems.
Can RTX 2080 handle LLM training?▾
RTX 2080's 8-11 GB VRAM limits it to small LLMs under 1B parameters. B300's 288 GB supports large-scale training.
Which is cheaper to rent, the B300 or the RTX 2080?▾
Cloud rental prices for both the B300 and RTX 2080 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 RTX 2080?▾
The B300 has 288 GB of HBM3e memory. The RTX 2080 has 8 to 11 GB of GDDR6 memory.
Can I find B300 and RTX 2080 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 RTX 2080?▾
The B300 uses the Blackwell Ultra architecture (2025) while the RTX 2080 uses Turing (2018). The B300 delivers 222.8x the FP16 throughput and 19.5x the memory bandwidth of the RTX 2080.