GB300 SXM6 vs TITAN Xp

Blackwell UltravsPascalUpdated 35 days ago

The GB300 emerges as the winner for prevalent AI and compute workloads due to its 2250 TFLOPS FP16, 288 GB VRAM, and 12000 GB/s bandwidth, rendering the TITAN Xp obsolete for anything beyond niche legacy use.

Specifications Compared

SpecGB300TITAN-XP
TDP1400W250W
VRAM288 GB12 GB
Memory TypeHBM3eGDDR5X
ArchitectureBlackwell UltraPascal
Form FactorsSXMPCIe
InterconnectNVSwitch, NVLink
FP8 Performance4,500 TFLOPS
FP16 Performance2,250 TFLOPS12.1 TFLOPS
FP32 Performance90 TFLOPS12.1 TFLOPS
FP64 Performance45 TFLOPS
INT8 Performance4,500 TOPS
Memory Bandwidth12,000 GB/s548 GB/s

Performance Analysis

The GB300's FP16 performance reaches 2250 TFLOPS, while FP32 stands at 90 TFLOPS, creating a 25:1 ratio ideal for mixed-precision training in large language models where FP16 accelerates without precision loss. The TITAN Xp offers balanced 12.1 TFLOPS in both FP16 and FP32, suiting general-purpose computing from 2017 but inadequate for today's AI scale. This delta means GB300 completes training epochs 186 times faster in FP16-dominated tasks. Memory bandwidth defines real-world limits: GB300's 12000 GB/s supports batch sizes for models exceeding 100 billion parameters, whereas TITAN Xp's 548 GB/s restricts to small batches with its 12 GB VRAM. Inference benefits most from GB300's FP8 at 4500 TFLOPS, enabling high-throughput serving impossible on TITAN Xp. Power draw reflects scale: 1400W TDP for GB300 versus 250W for TITAN Xp impacts datacenter density.

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When to Choose the GB300 SXM6

Choose the GB300 for datacenter-scale AI training or inference demanding over 288 GB VRAM and 12000 GB/s bandwidth. Its NVSwitch and NVLink interconnects enable multi-GPU clusters for LLMs, where TITAN Xp's lack of interconnects and 12 GB VRAM fail. Scenarios include hyperscale cloud deployments processing petabyte datasets at 2250 TFLOPS FP16.

When to Choose the TITAN Xp

Select the TITAN Xp for legacy PCIe workstations with 250W power constraints or small-scale tasks fitting 12 GB GDDR5X. It suits archival scientific simulations or lightweight prototyping from 2017-era software stacks incompatible with SXM. Budget retrofits in non-datacenter environments favor its lower TDP over GB300's 1400W.

Use Cases

LLM Training
GB300 SXM6

GB300's 288 GB HBM3e VRAM and 2250 TFLOPS FP16 handle massive models; TITAN Xp's 12 GB limits to toy datasets.

LLM Inference
GB300 SXM6

GB300's 4500 TFLOPS FP8 and 12000 GB/s bandwidth support high-throughput serving; TITAN Xp's 548 GB/s cannot scale.

Fine-tuning
GB300 SXM6

GB300's 90 TFLOPS FP32 and vast VRAM enable full-model fine-tuning; TITAN Xp requires heavy quantization.

Stable Diffusion
GB300 SXM6

GB300 processes large diffusion models at 2250 TFLOPS FP16; TITAN Xp's 12.1 TFLOPS yields slow generations.

Scientific Computing
GB300 SXM6

GB300's interconnects and bandwidth accelerate simulations; TITAN Xp suits only single-node legacy codes.

Frequently Asked Questions

What is the VRAM capacity of GB300 versus TITAN Xp?

GB300 features 288 GB HBM3e VRAM. TITAN Xp has 12 GB GDDR5X. This 24-fold difference allows GB300 to load enormous AI models intact.

How do FP16 performances compare?

GB300 delivers 2250 TFLOPS FP16. TITAN Xp provides 12.1 TFLOPS. GB300 accelerates deep learning training by approximately 186 times.

What are the memory bandwidth specs?

GB300 offers 12000 GB/s. TITAN Xp achieves 548 GB/s. GB300 supports larger batch sizes in inference by over 21 times.

Which has higher power consumption?

GB300 requires 1400W TDP. TITAN Xp uses 250W. GB300 demands datacenter cooling unfit for consumer PCIe setups.

What architectures do they use?

GB300 employs Blackwell Ultra from 2025. TITAN Xp uses Pascal from 2017. This enables GB300's FP8 at 4500 TFLOPS absent in TITAN Xp.

Are interconnects available on both?

GB300 supports NVSwitch and NVLink for clustering. TITAN Xp has none. GB300 scales to multi-GPU systems seamlessly.

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.

GB300 SXM6 vs TITAN Xp: 186.0x FP16 Gap, 288GB vs 12GB | GPUPerHour