Specifications Compared
| Spec | GB300 | RTX-4070 |
|---|---|---|
| TDP | 1400W | 200W |
| VRAM | 288 GB | 12 GB |
| Memory Type | HBM3e | GDDR6X |
| Architecture | Blackwell Ultra | Ada Lovelace |
| Form Factors | SXM | PCIe |
| Interconnect | NVSwitch, NVLink | |
| FP8 Performance | 4,500 TFLOPS | |
| FP16 Performance | 2,250 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 90 TFLOPS | 29.1 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | 466 TOPS |
| Memory Bandwidth | 12,000 GB/s | 504 GB/s |
Performance Analysis
Compute power sets the GPUs apart dramatically: GB300 SXM6 delivers 2250 TFLOPS FP16 versus 44 TFLOPS on RTX 4070 Ti SUPER, enabling 50x faster AI training and inference for large neural networks. The FP32 gap, 90 TFLOPS to 44 TFLOPS, aids traditional simulations. Memory bandwidth of 12000 GB/s on GB300 SXM6 versus 672 GB/s on RTX 4070 Ti SUPER supports batch sizes 18x larger, critical for efficient LLM training without memory bottlenecks. The 288 GB VRAM capacity fits models up to 1T parameters intact, while 16 GB VRAM constrains RTX 4070 Ti SUPER to sub-70B models. High TDP of 1400W on GB300 SXM6 requires data center infrastructure, contrasting the efficient 285W of RTX 4070 Ti SUPER for smaller deployments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070 Ti SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the GB300 SXM6
Select the GB300 SXM6 for massive-scale LLM training or inference needing 288 GB VRAM and 12000 GB/s bandwidth to process trillion-parameter models. Its NVLink interconnect scales to clusters delivering exaFLOPS via 2250 TFLOPS FP16. Datacenter environments with 1400W power suit scientific computing at extreme precision.
When to Choose the RTX 4070 Ti SUPER
The RTX 4070 Ti SUPER fits cost-sensitive tasks like Stable Diffusion generation or fine-tuning models under 30B parameters, leveraging cloud pricing from $0.09 per hour. Its PCIe form factor and 285W TDP enable easy integration in personal or small-server setups for gaming or low-batch inference.
Use Cases
GB300 SXM6's 288 GB VRAM and 2250 TFLOPS FP16 handle trillion-parameter models with large batches. RTX 4070 Ti SUPER's 16 GB VRAM restricts scale.
12000 GB/s bandwidth on GB300 SXM6 supports high-throughput serving of massive models. RTX 4070 Ti SUPER suits only small models under 70B parameters.
90 TFLOPS FP32 and vast VRAM on GB300 SXM6 accelerate fine-tuning of large models. RTX 4070 Ti SUPER works for datasets fitting 16 GB.
RTX 4070 Ti SUPER's 44 TFLOPS FP16 and $0.09/hr pricing enable fast image generation. GB300 SXM6 overkill for consumer-scale diffusion.
GB300 SXM6's NVSwitch scaling and 90 TFLOPS FP32 excel in HPC simulations. RTX 4070 Ti SUPER adequate for modest workloads.
Frequently Asked Questions
How much VRAM does the GB300 SXM6 have compared to RTX 4070 Ti SUPER?▾
GB300 SXM6 offers 288 GB HBM3e VRAM, while RTX 4070 Ti SUPER has 16 GB GDDR6X. This 18x difference allows GB300 SXM6 to load enormous AI models without partitioning.
What are the FP16 performance figures for these GPUs?▾
GB300 SXM6 reaches 2250 TFLOPS FP16, far exceeding RTX 4070 Ti SUPER's 44 TFLOPS. The gap translates to dramatically faster AI workloads on GB300 SXM6.
Which GPU is cheaper in the cloud?▾
RTX 4070 Ti SUPER starts at $0.09 per hour, averaging $0.17 per hour across 2 offers. GB300 SXM6 has no live cloud offers currently.
What is the power consumption of GB300 SXM6 versus RTX 4070 Ti SUPER?▾
GB300 SXM6 has a 1400W TDP, suited for data centers. RTX 4070 Ti SUPER uses 285W, ideal for standard servers or desktops.
Can RTX 4070 Ti SUPER handle LLM inference?▾
RTX 4070 Ti SUPER manages inference for models up to 70B parameters with 16 GB VRAM. Larger models require GB300 SXM6's 288 GB capacity.
What architectures power these GPUs?▾
GB300 SXM6 uses Blackwell Ultra from 2025 for AI optimization. RTX 4070 Ti SUPER employs Ada Lovelace from 2023, balancing gaming and compute.
Which is cheaper to rent, the GB300 or the RTX 4070?▾
Cloud rental prices for both the GB300 and RTX 4070 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 4070?▾
The GB300 has 288 GB of HBM3e memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find GB300 and RTX 4070 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 4070?▾
The GB300 uses the Blackwell Ultra architecture (2025) while the RTX 4070 uses Ada Lovelace (2023). The GB300 delivers 77.3x the FP16 throughput and 23.8x the memory bandwidth of the RTX 4070.