GB300 SXM6 vs RTX 5070 Ti

Blackwell UltravsBlackwellUpdated 35 days ago

The GB300 SXM6 emerges as the superior choice for dominant cloud GPU use cases like LLM training and inference. Its 2250 TFLOPS FP16 and 288 GB VRAM dwarf the RTX 5070 Ti's 40.6 TFLOPS and 12 GB, enabling workloads infeasible on consumer hardware despite lower pricing.

Specifications Compared

SpecGB300RTX-5070
TDP1400W250W
VRAM288 GB12 GB
Memory TypeHBM3eGDDR7
ArchitectureBlackwell UltraBlackwell
Form FactorsSXMPCIe
InterconnectNVSwitch, NVLink
FP8 Performance4,500 TFLOPS
FP16 Performance2,250 TFLOPS40.6 TFLOPS
FP32 Performance90 TFLOPS40.6 TFLOPS
FP64 Performance45 TFLOPS
INT8 Performance4,500 TOPS650 TOPS
Memory Bandwidth12,000 GB/s448 GB/s

Performance Analysis

The GB300 SXM6 dominates in AI compute with 2250 TFLOPS FP16 and 4500 TFLOPS FP8, enabling rapid large-model training and inference that the RTX 5070 Ti's 40.6 TFLOPS FP16 cannot match. This FP16/FP32 disparity on GB300 SXM6, at 2250 TFLOPS versus 90 TFLOPS, optimizes tensor core-heavy deep learning over graphics rasterization, where RTX 5070 Ti balances both at 40.6 TFLOPS. Memory specs amplify this: GB300 SXM6's 12000 GB/s bandwidth supports batch sizes exceeding thousands for trillion-parameter LLMs, preventing out-of-memory errors common on RTX 5070 Ti's 448 GB/s and 12 GB VRAM. In inference, GB300 SXM6 processes high-throughput serving; RTX 5070 Ti suits low-latency edge tasks. Power efficiency flips for small jobs: RTX 5070 Ti's 250W TDP yields better perf-per-watt than GB300 SXM6's 1400W draw.

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When to Choose the GB300 SXM6

Opt for the GB300 SXM6 in hyperscale AI training environments requiring 288 GB VRAM for models over 1 trillion parameters. Its 12000 GB/s bandwidth and NVLink interconnect excel in multi-GPU clusters for distributed fine-tuning, where RTX 5070 Ti falters on memory constraints.

When to Choose the RTX 5070 Ti

Select the RTX 5070 Ti for cost-sensitive gaming, prototyping, or single-user inference with cloud pricing from $0.10/hr. Its 250W TDP and PCIe compatibility fit desktops or small-scale Stable Diffusion runs on 12 GB VRAM, avoiding GB300 SXM6's unavailability and high power demands.

Use Cases

LLM Training
GB300 SXM6

GB300 SXM6's 288 GB HBM3e VRAM and 2250 TFLOPS FP16 support trillion-parameter models with massive batch sizes. RTX 5070 Ti's 12 GB limits it to toy datasets.

LLM Inference
GB300 SXM6

4500 TFLOPS FP8 on GB300 SXM6 delivers hyperscale serving throughput via NVSwitch. RTX 5070 Ti handles only low-concurrency queries.

Fine-tuning
GB300 SXM6

12000 GB/s bandwidth enables large-context fine-tuning on GB300 SXM6. RTX 5070 Ti's 448 GB/s restricts to small adapters.

Stable Diffusion
RTX 5070 Ti

RTX 5070 Ti's 40.6 TFLOPS FP32 suffices for real-time image generation on 12 GB VRAM at $0.10/hr. GB300 SXM6 overkills with 1400W TDP.

Scientific Computing
Either

GB300 SXM6 accelerates HPC simulations via 90 TFLOPS FP32 in clusters. RTX 5070 Ti fits single-node CFD or prototyping affordably.

Frequently Asked Questions

What is the VRAM difference between GB300 SXM6 and RTX 5070 Ti?

GB300 SXM6 provides 288 GB HBM3e VRAM, dwarfing RTX 5070 Ti's 12 GB GDDR7. This gap determines large-model feasibility: GB300 handles trillion-parameter LLMs, while RTX 5070 Ti suits smaller tasks.

How do FP16 performance figures compare?

GB300 SXM6 achieves 2250 TFLOPS FP16, versus RTX 5070 Ti's 40.6 TFLOPS. GB300 excels in AI training speedups by over 55x, critical for deep learning pipelines.

Is RTX 5070 Ti cheaper in the cloud?

RTX 5070 Ti starts at $0.10/hr averaging $0.19/hr across two offers. GB300 SXM6 has no live pricing, making RTX 5070 Ti ideal for budget prototyping.

What form factors do they use?

GB300 SXM6 employs SXM for data centers with NVLink. RTX 5070 Ti uses PCIe for consumer desktops, easing single-GPU deployments.

Which has higher memory bandwidth?

GB300 SXM6 delivers 12000 GB/s, over 26x RTX 5070 Ti's 448 GB/s. This boosts GB300 batch sizes for inference serving.

Compare their TDPs.

GB300 SXM6 requires 1400W for peak performance. RTX 5070 Ti draws 250W, suiting power-constrained environments like laptops or small servers.

Which is cheaper to rent, the GB300 or the RTX 5070?

Cloud rental prices for both the GB300 and RTX 5070 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 RTX 5070?

The GB300 has 288 GB of HBM3e memory. The RTX 5070 has 12 GB of GDDR7 memory.

Can I find GB300 and RTX 5070 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 RTX 5070?

The GB300 uses the Blackwell Ultra architecture (2025) while the RTX 5070 uses Blackwell (2025). The GB300 delivers 55.4x the FP16 throughput and 26.8x the memory bandwidth of the RTX 5070.

GB300 SXM6 vs RTX 5070 Ti: 55.4x FP16 Gap, 288GB vs 12GB | GPUPerHour