Specifications Compared
| Spec | GB300 | QUADRO-RTX-4000 |
|---|---|---|
| TDP | 1400W | 160W |
| VRAM | 288 GB | 8 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 | 7.1 TFLOPS |
| FP32 Performance | 90 TFLOPS | 7.1 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | |
| Memory Bandwidth | 12,000 GB/s | 416 GB/s |
Performance Analysis
FP16 performance defines AI acceleration: GB300 achieves 2250 TFLOPS while Quadro RTX 4000 delivers 7.1 TFLOPS, a 317-fold advantage for training large neural networks where half-precision dominates. FP32 rates follow suit at 90 TFLOPS for GB300 against 7.1 TFLOPS, boosting scientific simulations and inference by over 12 times. Memory bandwidth impacts batch sizes directly: 12000 GB/s on GB300 handles terabyte-scale datasets in LLM training, enabling larger batches and faster convergence, whereas 416 GB/s on Quadro RTX 4000 restricts to small batches prone to out-of-memory errors. TDP contrasts further: 1400W for GB300 suits rack-scale clusters, 160W for Quadro fits desktops. Interconnects highlight scale: NVSwitch and NVLink on GB300 enable multi-GPU fabrics, absent on PCIe-based Quadro.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro RTX 4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.56/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.56/GPU/hr $1.12/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.56/GPU/hr $1.12/hr total (2×) | Available |
When to Choose the GB300 SXM6
Select the GB300 for large-scale AI workloads requiring immense memory and compute. Its 288 GB HBM3e VRAM supports training models with billions of parameters, such as LLMs exceeding 100B tokens, where 12000 GB/s bandwidth sustains high throughput. Datacenter environments with SXM form factor and 1400W TDP power hyperscale inference serving millions of queries daily.
When to Choose the Quadro RTX 4000
Opt for Quadro RTX 4000 in budget-conscious professional setups. At $0.56 per hour cloud pricing, its 160W TDP and PCIe form factor suit single workstations for CAD, 3D modeling, or light rendering without datacenter infrastructure. The 8 GB GDDR6 handles moderate datasets in legacy software optimized for Turing architecture.
Use Cases
GB300's 288 GB VRAM and 2250 TFLOPS FP16 handle massive datasets and parameters infeasible on Quadro RTX 4000's 8 GB.
12000 GB/s bandwidth on GB300 supports high-concurrency serving; Quadro RTX 4000's 416 GB/s limits to low-volume queries.
90 TFLOPS FP32 and vast memory enable efficient fine-tuning of large models; 7.1 TFLOPS on Quadro suits only tiny models.
GB300 accelerates high-resolution generation with 4500 TFLOPS FP8; Quadro RTX 4000's 8 GB VRAM caps image sizes and speed.
1400W TDP and NVLink scaling on GB300 power complex simulations; Quadro RTX 4000's 160W fits basic desktop computations only.
Frequently Asked Questions
What is the VRAM difference between GB300 and Quadro RTX 4000?▾
GB300 provides 288 GB HBM3e, vastly exceeding Quadro RTX 4000's 8 GB GDDR6. This enables GB300 for large AI models while Quadro handles smaller professional tasks.
How do FP16 performances compare?▾
GB300 delivers 2250 TFLOPS FP16 versus 7.1 TFLOPS on Quadro RTX 4000. The gap accelerates AI training by over 300 times on GB300.
What are the power requirements?▾
GB300 demands 1400W TDP for datacenter use; Quadro RTX 4000 uses 160W, suitable for workstations. Higher TDP correlates with GB300's superior compute.
Is cloud pricing available for both?▾
Quadro RTX 4000 starts at $0.56 per hour across 5 offers; GB300 has no live offers. Quadro suits immediate low-cost rentals.
Which has better memory bandwidth?▾
GB300 offers 12000 GB/s, nearly 29 times Quadro RTX 4000's 416 GB/s. Bandwidth advantage boosts GB300 batch sizes in ML workflows.
What architectures do they use?▾
GB300 employs 2025 Blackwell Ultra; Quadro RTX 4000 uses 2018 Turing. Generational leap favors GB300 for modern AI.
Which is cheaper to rent, the GB300 or the Quadro RTX 4000?▾
Cloud rental prices for both the GB300 and Quadro RTX 4000 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 GB300 have compared to the Quadro RTX 4000?▾
The GB300 has 288 GB of HBM3e memory. The Quadro RTX 4000 has 8 GB of GDDR6 memory.
Can I find GB300 and Quadro RTX 4000 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 GB300 and the Quadro RTX 4000?▾
The GB300 uses the Blackwell Ultra architecture (2025) while the Quadro RTX 4000 uses Turing (2018). The GB300 delivers 316.9x the FP16 throughput and 28.8x the memory bandwidth of the Quadro RTX 4000.