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
Compute disparities define these GPUs' capabilities: the B300 achieves 2250 TFLOPS in FP16 for accelerated AI training and inference, far exceeding the RTX 2080 Ti's 10.1 TFLOPS. This delta enables the B300 to process massive models in hours that would take days on the older card. FP32 performance at 90 TFLOPS on B300 versus 10.1 TFLOPS supports general simulations better, though the ratio shrinks. The B300's FP8 at 4500 TFLOPS further optimizes low-precision inference for LLMs. Memory specs amplify real-world impacts: 288 GB HBM3e on B300 sustains large batch sizes in training, avoiding out-of-memory errors common with RTX 2080 Ti's 11 GB limit. Bandwidth of 12000 GB/s versus 616 GB/s ensures rapid data throughput, reducing bottlenecks in data-heavy workloads like fine-tuning. Power draw reflects scale: B300's 1200W TDP suits dense clusters, while 215W fits edge or desktop use.
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 |
RTX 2080 Ti
| 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
Opt for the B300 SXM6 in large-scale AI deployments: its 288 GB VRAM handles billion-parameter LLMs, and 2250 TFLOPS FP16 speeds training epochs dramatically. Scenarios include enterprise inference serving or multi-GPU clusters via NVSwitch and NVLink, where 12000 GB/s bandwidth maximizes throughput. At $2.45 per hour starting price, it justifies costs for production workloads demanding HBM3e capacity.
When to Choose the RTX 2080 Ti
Select the RTX 2080 Ti for cost-sensitive prototyping: 8 to 11 GB VRAM suffices for small models, and $0.06 per hour pricing enables extended experimentation. It excels in gaming, light Stable Diffusion, or personal fine-tuning where 10.1 TFLOPS FP16 meets needs without overkill. PCIe form factor and 215W TDP integrate easily into single-node setups.
Use Cases
B300's 288 GB VRAM and 2250 TFLOPS FP16 support massive datasets and models. RTX 2080 Ti's 11 GB limit causes frequent failures.
4500 TFLOPS FP8 and 12000 GB/s bandwidth on B300 enable high-throughput serving. RTX 2080 Ti struggles with batch sizes beyond small queries.
90 TFLOPS FP32 and vast HBM3e handle parameter-efficient methods on large LLMs. RTX 2080 Ti restricts to tiny adapters due to VRAM.
RTX 2080 Ti's 10.1 TFLOPS FP16 generates images quickly at $0.06 per hour. B300 overpowers simple diffusion needs.
B300's 90 TFLOPS FP32 and NVLink scaling accelerate simulations. RTX 2080 Ti limits complex datasets with 616 GB/s bandwidth.
Frequently Asked Questions
How much more VRAM does B300 have than RTX 2080 Ti?▾
B300 provides 288 GB HBM3e VRAM, over 26 times the RTX 2080 Ti's maximum 11 GB GDDR6. This enables handling models up to hundreds of billions of parameters. RTX 2080 Ti suits only sub-7B models comfortably.
What is the FP16 performance difference?▾
B300 delivers 2250 TFLOPS FP16, approximately 223 times the RTX 2080 Ti's 10.1 TFLOPS. Training speeds scale near-linearly with this gap. Inference batches fit vastly larger on B300.
Compare their cloud pricing.▾
B300 SXM6 starts at $2.45 per hour, averaging $6.44 across 7 offers. RTX 2080 Ti begins at $0.06 per hour, averaging $0.11 over 6 offers. Budget tasks favor the latter despite performance trade-offs.
Which has higher memory bandwidth?▾
B300 achieves 12000 GB/s, about 19 times the RTX 2080 Ti's 616 GB/s. This reduces data stalls in AI pipelines. Bandwidth limits batch sizes on older cards.
What are their TDPs?▾
B300 requires 1200W TDP for peak output in SXM form. RTX 2080 Ti uses 215W in PCIe slots. Datacenter cooling suits B300; desktops handle 2080 Ti easily.
Can RTX 2080 Ti run modern LLMs?▾
RTX 2080 Ti's 11 GB VRAM supports quantized 7B LLMs at low batches with 10.1 TFLOPS FP16. Larger models exceed memory. B300 runs unquantized 70B+ effortlessly.
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.