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 specialization defines these GPUs: the GB300 SXM6 achieves 2250 TFLOPS in FP16 and 4500 TFLOPS in FP8 for accelerated AI training and inference, dropping to 90 TFLOPS FP32 for precise tasks. The RTX 4070 Ti maintains parity at 29.1 TFLOPS for both FP16 and FP32, better serving graphics rendering or mixed-precision general computing.
Memory specs dictate workload feasibility: 288 GB HBM3e on the GB300 SXM6 versus 12 GB GDDR6X on the RTX 4070 Ti allows enormous batch sizes and trillion-parameter models without offloading. The 12000 GB/s bandwidth dwarfs the 504 GB/s, minimizing bottlenecks in data-heavy operations like large language model inference.
Deployment contrasts emerge in power and form: 1400W TDP demands rack-scale cooling for GB300 SXM6 with advanced interconnects, while 200W PCIe suits edge or desktop use for RTX 4070 Ti.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070 Ti
| 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 AI training: 2250 TFLOPS FP16 and 288 GB VRAM handle models exceeding one trillion parameters across multi-GPU NVLink clusters. Its 12000 GB/s bandwidth sustains huge batches in datacenter environments.
Inference at hyperscale favors it too, leveraging FP8 at 4500 TFLOPS for low-latency serving of enterprise LLMs.
When to Choose the RTX 4070 Ti
The RTX 4070 Ti suits cost-sensitive prototyping and fine-tuning: 29.1 TFLOPS FP32/FP16 at 0.08 dollars per hour enables rapid iteration on models under 10 billion parameters. Its 200W TDP and PCIe form factor fit small servers or local workstations.
Gaming, Stable Diffusion, or light scientific computing benefit from balanced specs without datacenter overhead.
Use Cases
GB300 SXM6's 288 GB HBM3e VRAM and 2250 TFLOPS FP16 support trillion-parameter models with large batches. RTX 4070 Ti's 12 GB GDDR6X restricts scale severely.
4500 TFLOPS FP8 and 12000 GB/s bandwidth on GB300 SXM6 enable high-throughput serving. RTX 4070 Ti's 504 GB/s bandwidth limits concurrent requests.
RTX 4070 Ti's 29.1 TFLOPS FP16/FP32 and 0.08 dollars per hour pricing accelerate small-model adaptation affordably. GB300 SXM6 overkill for sub-100B parameter tasks.
RTX 4070 Ti handles image generation efficiently with 29.1 TFLOPS FP32 and 12 GB VRAM at low 200W TDP. GB300 SXM6 unnecessary for consumer creative workflows.
GB300 SXM6 excels in FP32-heavy simulations at 90 TFLOPS with NVLink scaling. RTX 4070 Ti suffices for single-node tasks at 29.1 TFLOPS with lower cost.
Frequently Asked Questions
What is the memory capacity difference between NVIDIA GB300 SXM6 and RTX 4070 Ti?▾
GB300 SXM6 offers 288 GB HBM3e VRAM, dwarfing the RTX 4070 Ti's 12 GB GDDR6X by a factor of 24. This enables vastly larger models and datasets on the GB300. Bandwidth follows suit at 12000 GB/s versus 504 GB/s.
How do FP16 performances compare?▾
GB300 SXM6 delivers 2250 TFLOPS FP16, exceeding RTX 4070 Ti's 29.1 TFLOPS by about 77 times. This gap accelerates AI training significantly. FP8 on GB300 reaches 4500 TFLOPS, absent on RTX 4070 Ti.
What are the power requirements?▾
GB300 SXM6 demands 1400W TDP in SXM form factor for datacenter racks. RTX 4070 Ti uses 200W TDP via PCIe, suiting desktops. This reflects their enterprise versus consumer targets.
Is there cloud pricing for these GPUs?▾
No live offers exist for GB300 SXM6 currently. RTX 4070 Ti rentals start at 0.08 dollars per hour, averaging 0.22 dollars per hour over five providers on gpuperhour.com.
What architectures power these GPUs?▾
GB300 SXM6 uses Blackwell Ultra from 2025 for AI dominance. RTX 4070 Ti employs Ada Lovelace from 2023, optimized for gaming and general compute. The two-year gap underscores compute evolution.
Which has better interconnects?▾
GB300 SXM6 features NVSwitch and NVLink for multi-GPU scaling. RTX 4070 Ti lacks specified interconnects, relying on PCIe. This makes GB300 ideal for clusters.
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.