Specifications Compared
| Spec | GB300 | TITAN-XP |
|---|---|---|
| TDP | 1400W | 250W |
| VRAM | 288 GB | 12 GB |
| Memory Type | HBM3e | GDDR5X |
| Architecture | Blackwell Ultra | Pascal |
| Form Factors | SXM | PCIe |
| Interconnect | NVSwitch, NVLink | |
| FP8 Performance | 4,500 TFLOPS | |
| FP16 Performance | 2,250 TFLOPS | 12.1 TFLOPS |
| FP32 Performance | 90 TFLOPS | 12.1 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | |
| Memory Bandwidth | 12,000 GB/s | 548 GB/s |
Performance Analysis
Compute specifications reveal profound implications for AI tasks: the GB300's 2250 TFLOPS FP16 vastly outpaces the TITAN Xp's 12.1 TFLOPS, accelerating training and inference for large language models by orders of magnitude. The FP32 performance of 90 TFLOPS on the GB300 remains superior to the TITAN Xp's 12.1 TFLOPS, benefiting general-purpose computing, though the FP16 delta emphasizes AI optimization. FP8 at 4500 TFLOPS on the GB300 enables ultra-efficient inference not feasible on the Pascal-era card.
Memory bandwidth dictates real-world throughput: 12000 GB/s on the GB300 supports massive batch sizes in training, reducing iterations and time, whereas 548 GB/s on the TITAN Xp limits workloads to small batches prone to bottlenecks. The 288 GB HBM3e VRAM allows the GB300 to process models exceeding 100 billion parameters in a single instance; the TITAN Xp's 12 GB GDDR5X restricts it to tiny models or heavy quantization.
Power efficiency shifts dramatically with scale: the GB300's 1400W TDP delivers over 1.6 TFLOPS per watt in FP16, while the TITAN Xp's 250W yields about 0.048 TFLOPS per watt, making the newer GPU far superior for dense deployments despite higher absolute power.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
No live offers available at this time.
When to Choose the GB300
The GB300 excels in data center environments for LLM training and inference, where 288 GB VRAM and 12000 GB/s bandwidth handle enormous models without distribution. Enterprise users benefit from NVLink and NVSwitch for multi-GPU scaling, achieving 2250 TFLOPS FP16 unattainable elsewhere.
High-performance computing clusters prioritize the GB300 for its 4500 TFLOPS FP8, ideal for real-time inference at scale.
When to Choose the TITAN Xp
The TITAN Xp suits legacy desktop applications from 2017-era software stacks, leveraging its 12 GB VRAM and 250W TDP in PCIe systems without specialized cooling. Hobbyists or budget setups running small-scale FP32 tasks at 12.1 TFLOPS find it adequate where power constraints limit options.
Enthusiasts maintaining Pascal-compatible workflows avoid migration costs, as interconnect simplicity fits single-node experimentation.
Use Cases
The GB300's 288 GB HBM3e VRAM and 2250 TFLOPS FP16 enable training of massive models in single instances. The TITAN Xp's 12 GB VRAM cannot accommodate large datasets.
4500 TFLOPS FP8 on the GB300 supports high-throughput inference for billion-parameter models. Bandwidth of 12000 GB/s ensures low latency, unlike the TITAN Xp's 548 GB/s.
GB300 handles fine-tuning with 90 TFLOPS FP32 and vast VRAM for full precision. TITAN Xp limits to small models due to 12 GB capacity.
GB300's FP16 performance accelerates diffusion models at scale with 288 GB VRAM for high-resolution batches. TITAN Xp struggles with memory limits on complex generations.
NVSwitch interconnect and 12000 GB/s bandwidth on GB300 optimize simulations across nodes. TITAN Xp's PCIe form lacks scalability for large-scale science.
Frequently Asked Questions
How much more VRAM does the GB300 have than the TITAN Xp?▾
The GB300 provides 288 GB HBM3e VRAM, which is 24 times more than the TITAN Xp's 12 GB GDDR5X. This allows loading massive AI models without splitting. The difference suits data center scale versus desktop limits.
What is the FP16 performance difference between GB300 and TITAN Xp?▾
GB300 delivers 2250 TFLOPS FP16, over 186 times the TITAN Xp's 12.1 TFLOPS. This gap accelerates AI training dramatically. Inference workloads see similar boosts.
Can the TITAN Xp handle modern LLM training?▾
No, the TITAN Xp's 12 GB VRAM and 548 GB/s bandwidth cannot manage models beyond small sizes. GB300's 288 GB and 12000 GB/s are required. Legacy use only applies.
How do power requirements compare?▾
GB300 demands 1400W TDP in SXM form, versus TITAN Xp's 250W for PCIe. Efficiency favors GB300 at 1.6 TFLOPS per watt FP16. Consumer setups prefer lower power.
Is GB300 backward compatible with TITAN Xp software?▾
GB300 supports modern CUDA but optimizes for Blackwell Ultra features like FP8 at 4500 TFLOPS. TITAN Xp runs Pascal-era code at 12.1 TFLOPS FP32. Migration yields massive gains.
Which has higher memory bandwidth?▾
GB300 offers 12000 GB/s, about 22 times the TITAN Xp's 548 GB/s. This enables larger batch sizes in training. Bottlenecks plague the older GPU.
Which is cheaper to rent, the GB300 or the TITAN Xp?▾
Cloud rental prices for both the GB300 and TITAN Xp 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 TITAN Xp?▾
The GB300 has 288 GB of HBM3e memory. The TITAN Xp has 12 GB of GDDR5X memory.
Can I find GB300 and TITAN Xp 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 TITAN Xp?▾
The GB300 uses the Blackwell Ultra architecture (2025) while the TITAN Xp uses Pascal (2017). The GB300 delivers 186.0x the FP16 throughput and 21.9x the memory bandwidth of the TITAN Xp.