Specifications Compared
| Spec | B300 | RTX-4060 |
|---|---|---|
| TDP | 1200W | 115W |
| VRAM | 288 GB | 8 GB |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell Ultra | Ada Lovelace |
| Form Factors | SXM | PCIe |
| Interconnect | NVSwitch, NVLink | |
| FP8 Performance | 4,500 TFLOPS | |
| FP16 Performance | 2,250 TFLOPS | 15.1 TFLOPS |
| FP32 Performance | 90 TFLOPS | 15.1 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | 242 TOPS |
| Memory Bandwidth | 12,000 GB/s | 272 GB/s |
Performance Analysis
Compute disparities define usability: B300's 2250 TFLOPS FP16 vastly exceeds RTX 4060's 15.1 TFLOPS, accelerating AI training where half-precision dominates. Its FP32 at 90 TFLOPS outpaces RTX 4060's 15.1 TFLOPS for general compute, while 4500 TFLOPS FP8 optimizes inference on quantized models. These enable B300 to handle models infeasible on RTX 4060.
Memory specs dictate scale: 288 GB HBM3e on B300 supports enormous batch sizes compared to 8 GB GDDR6 on RTX 4060, preventing out-of-memory errors in large LLMs. The 12000 GB/s bandwidth versus 272 GB/s sustains high throughput, reducing latency in data-heavy tasks. Power demands reflect this: 1200W TDP for B300 requires robust cooling, while 115W suits efficient local runs.
Interconnects amplify differences: NVSwitch and NVLink on B300 enable multi-GPU scaling, absent on PCIe-bound RTX 4060.
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
Enterprises demand B300 for large-scale AI: its 288 GB VRAM accommodates trillion-parameter models, and 2250 TFLOPS FP16 speeds training epochs. Cloud access at $2.45 per hour from 7 providers suits bursty workloads without upfront hardware costs.
High-bandwidth needs favor B300: 12000 GB/s handles massive datasets, ideal for inference at 4500 TFLOPS FP8 in production serving.
When to Choose the RTX 4060
Budget-conscious individuals select RTX 4060 for local development: 8 GB VRAM and 15.1 TFLOPS FP16 suffice for prototyping small models or gaming. Its 115W TDP enables desktop integration without data center infrastructure.
Power-sensitive or portable setups prefer RTX 4060: PCIe form factor fits laptops, supporting Stable Diffusion or fine-tuning at lower costs than B300's $6.44 per hour average.
Use Cases
B300's 288 GB HBM3e VRAM and 2250 TFLOPS FP16 handle massive datasets and parameters unattainable on RTX 4060's 8 GB GDDR6. Its 12000 GB/s bandwidth supports large batch sizes for efficient training.
B300 excels with 4500 TFLOPS FP8 for quantized models and 288 GB VRAM for high concurrency. RTX 4060's 15.1 TFLOPS limits scale on 8 GB VRAM.
B300's 90 TFLOPS FP32 and vast memory accelerate parameter-efficient tuning on large models. RTX 4060 suits only small-scale fine-tuning due to 8 GB constraints.
RTX 4060's 15.1 TFLOPS FP16 generates images efficiently on desktops with 8 GB VRAM. B300 overkill for consumer creative tasks at 1200W TDP.
B300's 90 TFLOPS FP32 and NVLink interconnect scale simulations across clusters. RTX 4060's single-GPU 15.1 TFLOPS limits complex analyses.
Frequently Asked Questions
Which GPU has more VRAM?▾
NVIDIA B300 offers 288 GB HBM3e VRAM, far surpassing RTX 4060's 8 GB GDDR6. This enables B300 to load massive AI models without swapping. RTX 4060 suffices for smaller workloads.
How do FP16 performances compare?▾
B300 delivers 2250 TFLOPS FP16, over 149 times RTX 4060's 15.1 TFLOPS. This gap accelerates deep learning training on B300. Inference benefits similarly from B300's FP8 at 4500 TFLOPS.
What is the memory bandwidth difference?▾
B300 provides 12000 GB/s, about 44 times RTX 4060's 272 GB/s. Higher bandwidth on B300 supports larger batches and faster data movement. RTX 4060 handles modest throughput adequately.
Compare power consumption▾
B300 requires 1200W TDP for peak performance, versus RTX 4060's efficient 115W. B300 demands data center power infrastructure. RTX 4060 fits standard desktops or laptops.
What are the cloud prices?▾
B300 SXM6 starts at $2.45 per hour, averaging $6.44 across 7 offers. RTX 4060 has no live cloud offers, as it targets consumer hardware. Local purchase applies for RTX 4060.
Which architecture is newer?▾
B300 uses Blackwell Ultra from 2025, advancing beyond RTX 4060's Ada Lovelace from 2023. B300 incorporates NVSwitch for multi-GPU scaling. RTX 4060 prioritizes gaming efficiency.
Which is cheaper to rent, the B300 or the RTX 4060?▾
Cloud rental prices for both the B300 and RTX 4060 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 4060?▾
The B300 has 288 GB of HBM3e memory. The RTX 4060 has 8 GB of GDDR6 memory.
Can I find B300 and RTX 4060 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 4060?▾
The B300 uses the Blackwell Ultra architecture (2025) while the RTX 4060 uses Ada Lovelace (2023). The B300 delivers 149.0x the FP16 throughput and 44.1x the memory bandwidth of the RTX 4060.