Specifications Compared
| Spec | GB300 | QUADRO-RTX-6000 |
|---|---|---|
| TDP | 1400W | 260W |
| VRAM | 288 GB | 24 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 | 16.3 TFLOPS |
| FP32 Performance | 90 TFLOPS | 16.3 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | |
| Memory Bandwidth | 12,000 GB/s | 672 GB/s |
Performance Analysis
The GB300 dominates in raw compute with 2250 TFLOPS FP16 and 4500 TFLOPS FP8, enabling rapid AI training and inference on models exceeding hundreds of billions of parameters. Its FP32 performance of 90 TFLOPS still outpaces the Quadro RTX 6000's uniform 16.3 TFLOPS across FP16 and FP32, but the delta underscores specialization: low-precision formats accelerate matrix-heavy operations in deep learning by over 25 times in FP8 relative to FP32. The Quadro suits general-purpose rendering where FP32 parity matters. Memory specifications transform workloads: the GB300's 288 GB VRAM supports batch sizes up to 12 times larger than the Quadro's 24 GB limit, preventing out-of-memory errors in large language model training. Coupled with 12000 GB/s bandwidth versus 672 GB/s, data movement bottlenecks vanish, yielding 18-fold throughput gains in memory-bound tasks like inference serving. Power efficiency diverges too: the GB300's 1400W TDP demands hyperscale cooling, while the Quadro's 260W enables quiet operation.
Live Cloud Pricing
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When to Choose the GB300 SXM6
The GB300 excels in datacenter environments for large-scale AI training and inference. Its 288 GB HBM3e VRAM handles models like trillion-parameter LLMs without sharding, and 12000 GB/s bandwidth sustains high throughput. NVSwitch and NVLink interconnects enable multi-GPU scaling for clusters exceeding 1000 GPUs.
When to Choose the Quadro RTX 6000
The Quadro RTX 6000 fits workstation deployments for CAD, simulation, and real-time visualization. Its PCIe form factor integrates seamlessly into desktops with 260W TDP, avoiding data center infrastructure. 24 GB GDDR6 suffices for professional rendering workloads under NVLink bridging.
Use Cases
The GB300's 288 GB VRAM and 2250 TFLOPS FP16 support massive datasets and models infeasible on the Quadro's 24 GB limit. Its 12000 GB/s bandwidth accelerates gradient computations.
4500 TFLOPS FP8 on the GB300 enables high-throughput serving for billions of tokens per second. The Quadro's 16.3 TFLOPS FP16 cannot match latency-sensitive demands.
GB300's 90 TFLOPS FP32 and vast memory handle parameter-efficient tuning on large models. Quadro lacks capacity for even mid-sized fine-tuning batches.
Quadro RTX 6000's 24 GB GDDR6 runs standard diffusion models efficiently in workstations. GB300 overkill unless generating at extreme resolutions with 288 GB VRAM.
GB300's 12000 GB/s bandwidth and NVLink scaling excel in simulations requiring petabyte-scale data. Quadro's 672 GB/s bottlenecks complex HPC pipelines.
Frequently Asked Questions
What is the VRAM difference between GB300 and Quadro RTX 6000?▾
The GB300 provides 288 GB HBM3e VRAM, dwarfing the Quadro RTX 6000's 24 GB GDDR6. This 12-fold increase allows the GB300 to load enormous AI models without swapping. Workstations rarely need beyond 24 GB.
How do FP16 performances compare?▾
GB300 achieves 2250 TFLOPS FP16 versus Quadro RTX 6000's 16.3 TFLOPS. The GB300 offers 138 times higher half-precision compute for AI acceleration. Quadro balances with equal FP32.
Which has higher memory bandwidth?▾
GB300 delivers 12000 GB/s, 18 times the Quadro RTX 6000's 672 GB/s. This sustains larger batch sizes in training. Bandwidth gaps widen in multi-GPU setups.
What are the power requirements?▾
GB300 demands 1400W TDP for datacenter racks, while Quadro RTX 6000 uses 260W for desktops. GB300 requires liquid cooling infrastructure. Quadro runs on standard PSUs.
Can these GPUs interconnect?▾
Both support NVLink, but GB300 adds NVSwitch for domain-wide scaling. Quadro enables dual-GPU bridges at PCIe speeds. GB300 interconnects thousands of GPUs seamlessly.
Which is newer?▾
GB300 uses 2025 Blackwell Ultra architecture; Quadro RTX 6000 is 2018 Turing. The seven-year gap reflects AI specialization in GB300 specs. Turing persists in legacy pro apps.
Which is cheaper to rent, the GB300 or the Quadro RTX 6000?▾
Cloud rental prices for both the GB300 and Quadro RTX 6000 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 6000?▾
The GB300 has 288 GB of HBM3e memory. The Quadro RTX 6000 has 24 GB of GDDR6 memory.
Can I find GB300 and Quadro RTX 6000 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 6000?▾
The GB300 uses the Blackwell Ultra architecture (2025) while the Quadro RTX 6000 uses Turing (2018). The GB300 delivers 138.0x the FP16 throughput and 17.9x the memory bandwidth of the Quadro RTX 6000.