Specifications Compared
| Spec | B300 | RTX-2060 |
|---|---|---|
| TDP | 1200W | 160W |
| VRAM | 288 GB | 6-12 GB |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell Ultra | Turing |
| Form Factors | SXM | PCIe |
| Interconnect | NVSwitch, NVLink | |
| FP8 Performance | 4,500 TFLOPS | |
| FP16 Performance | 2,250 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 90 TFLOPS | 6.5 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | |
| Memory Bandwidth | 12,000 GB/s | 336 GB/s |
Performance Analysis
B300 vastly outpaces RTX 2060 SUPER in AI-relevant metrics: its 2250 TFLOPS FP16 performance is 346 times higher than the 6.5 TFLOPS of RTX 2060 SUPER, accelerating deep learning training and inference in half-precision formats. The FP16-to-FP32 ratio of 25:1 on B300 optimizes modern neural networks that tolerate reduced precision, while RTX 2060 SUPER's 1:1 balance favors traditional FP32 graphics rendering or scientific simulations.
Memory bandwidth defines workload feasibility: B300's 12000 GB/s enables enormous batch sizes for LLMs without swapping, fitting models up to 288 GB VRAM onsite. RTX 2060 SUPER's 336 GB/s limits it to small batches prone to out-of-memory issues beyond 8 GB datasets. The 1200W TDP sustains B300's peaks in clusters, contrasting RTX 2060 SUPER's 160W for power-constrained desktops.
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 |
When to Choose the B300 SXM6
Choose the NVIDIA B300 SXM6 for large-scale AI training and inference: its 288 GB HBM3e VRAM accommodates full-parameter LLMs, and 2250 TFLOPS FP16 handles trillion-parameter models efficiently. NVLink and NVSwitch enable multi-GPU scaling unavailable on RTX 2060 SUPER. Cloud pricing at $2.45 per hour suits professional deployments.
When to Choose the RTX 2060 SUPER
Opt for the NVIDIA GeForce RTX 2060 SUPER in budget gaming or lightweight compute: 8 GB GDDR6 VRAM and 6.5 TFLOPS FP32 suffice for Stable Diffusion image generation or small fine-tuning tasks. Its 160W TDP and PCIe form factor fit desktop rigs without datacenter infrastructure. Absence of cloud offers implies lower on-premise costs.
Use Cases
B300's 288 GB VRAM and 2250 TFLOPS FP16 support massive model training without distillation. RTX 2060 SUPER's 8 GB VRAM cannot load large LLMs.
B300's 4500 TFLOPS FP8 and 12000 GB/s bandwidth enable high-throughput serving of trillion-parameter models. RTX 2060 SUPER lacks capacity for production-scale inference.
B300 handles full fine-tuning on 288 GB datasets at 90 TFLOPS FP32. RTX 2060 SUPER restricts to tiny parameter counts.
RTX 2060 SUPER's 6.5 TFLOPS FP16 generates images effectively with 8 GB VRAM. B300 overkill for single-user creative tasks.
B300's 90 TFLOPS FP32 and NVLink scale simulations across nodes. RTX 2060 SUPER limits to single-GPU modest datasets.
Frequently Asked Questions
How much VRAM does NVIDIA B300 SXM6 have compared to RTX 2060 SUPER?▾
NVIDIA B300 SXM6 features 288 GB HBM3e VRAM, while RTX 2060 SUPER has 8 GB GDDR6. This 36-fold difference allows B300 to process vastly larger AI models without memory constraints.
What is the FP16 performance of B300 vs RTX 2060 SUPER?▾
B300 achieves 2250 TFLOPS FP16, exceeding RTX 2060 SUPER's 6.5 TFLOPS by 346 times. B300 suits accelerated AI training; RTX 2060 SUPER fits basic tensor operations.
Which GPU has higher memory bandwidth?▾
B300 offers 12000 GB/s, 36 times more than RTX 2060 SUPER's 336 GB/s. Higher bandwidth on B300 supports larger batch sizes in deep learning.
What are the power requirements for these GPUs?▾
B300 SXM6 consumes 1200W TDP for datacenter use, versus RTX 2060 SUPER's 160W. B300 requires robust cooling; RTX 2060 SUPER runs on standard desktops.
Is there cloud pricing for B300 SXM6 and RTX 2060 SUPER?▾
B300 SXM6 starts at $2.45 per hour averaging $6.44 across 7 providers. RTX 2060 SUPER currently has no live cloud offers.
Which is better for AI training?▾
B300 dominates with 288 GB VRAM, 2250 TFLOPS FP16, and NVLink. RTX 2060 SUPER cannot handle large-scale training due to 8 GB limits.
Which is cheaper to rent, the B300 or the RTX 2060?▾
Cloud rental prices for both the B300 and RTX 2060 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 2060?▾
The B300 has 288 GB of HBM3e memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.
Can I find B300 and RTX 2060 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 2060?▾
The B300 uses the Blackwell Ultra architecture (2025) while the RTX 2060 uses Turing (2019). The B300 delivers 346.2x the FP16 throughput and 35.7x the memory bandwidth of the RTX 2060.