Specifications Compared
| Spec | GB300 | GTX-1070 |
|---|---|---|
| TDP | 1400W | 150W |
| VRAM | 288 GB | 8 GB |
| Memory Type | HBM3e | GDDR5 |
| Architecture | Blackwell Ultra | Pascal |
| Form Factors | SXM | PCIe |
| Interconnect | NVSwitch, NVLink | |
| FP8 Performance | 4,500 TFLOPS | |
| FP16 Performance | 2,250 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 90 TFLOPS | 6.5 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | |
| Memory Bandwidth | 12,000 GB/s | 256 GB/s |
Performance Analysis
The GB300's FP16 performance of 2250 TFLOPS significantly surpasses the GTX 1070's 6.5 TFLOPS, accelerating AI training and inference where half-precision dominates: this yields over 346 times faster tensor operations. Its FP32 capability at 90 TFLOPS also exceeds the GTX 1070's 6.5 TFLOPS by 13.8 times, benefiting general-purpose computing and simulations.
Memory bandwidth defines practical limits: the GB300's 12000 GB/s supports enormous batch sizes for LLMs, preventing out-of-memory errors on models exceeding 8 GB, which cripples the GTX 1070. The 1400W TDP of the GB300 demands data center cooling, unlike the GTX 1070's efficient 150W for edge deployments. These specs translate to the GB300 handling enterprise-scale inference at speeds unattainable by Pascal-era hardware.
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When to Choose the GB300 SXM6
The GB300 suits large-scale AI deployments: its 288 GB HBM3e VRAM and 4500 TFLOPS FP8 performance enable training of massive LLMs or high-throughput inference clusters. Data centers with NVSwitch interconnects benefit from its 12000 GB/s bandwidth for distributed workloads exceeding consumer GPU limits.
When to Choose the GTX 1070
The GTX 1070 fits budget-conscious legacy applications: its 150W TDP and PCIe form factor integrate easily into standard desktops for light gaming or basic compute at 6.5 TFLOPS FP32. Users avoiding high power draw or cloud costs select it for non-AI tasks where 8 GB GDDR5 suffices.
Use Cases
GB300's 288 GB VRAM and 2250 TFLOPS FP16 support massive models and large batches. GTX 1070's 8 GB VRAM causes frequent out-of-memory failures.
GB300's 12000 GB/s bandwidth enables high-throughput serving of large models. GTX 1070's 256 GB/s limits it to tiny models only.
GB300 handles parameter-efficient fine-tuning on datasets fitting 288 GB VRAM at 4500 TFLOPS FP8. GTX 1070 restricts to small models with 6.5 TFLOPS FP16.
GB300 generates high-resolution images rapidly with 90 TFLOPS FP32. GTX 1070 manages basic diffusion but slows on complex prompts due to 8 GB VRAM.
GB300's 12000 GB/s bandwidth accelerates simulations with large datasets. GTX 1070 suits small-scale computations at 150W TDP.
Frequently Asked Questions
How much VRAM does the GB300 have compared to the GTX 1070?▾
The GB300 features 288 GB HBM3e VRAM, while the GTX 1070 has 8 GB GDDR5. This 36-fold difference allows the GB300 to load enormous models without swapping.
What is the FP16 performance gap between these GPUs?▾
GB300 achieves 2250 TFLOPS FP16 versus GTX 1070's 6.5 TFLOPS. This results in approximately 346 times faster AI tensor operations on the GB300.
Which GPU has higher memory bandwidth?▾
GB300 offers 12000 GB/s bandwidth, dwarfing GTX 1070's 256 GB/s by 47 times. Higher bandwidth supports larger batch sizes in training.
What are the TDP ratings?▾
GB300 consumes 1400W TDP for peak performance, compared to GTX 1070's 150W. The GTX 1070 suits low-power consumer setups.
Can the GTX 1070 handle modern AI workloads?▾
GTX 1070's 8 GB VRAM and 6.5 TFLOPS FP16 limit it to small models only. GB300 excels with 288 GB and 2250 TFLOPS for current demands.
What architectures do they use?▾
GB300 employs Blackwell Ultra from 2025 with NVLink. GTX 1070 uses Pascal from 2016 with no advanced interconnect.
Which is cheaper to rent, the GB300 or the GTX 1070?▾
Cloud rental prices for both the GB300 and GTX 1070 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 GTX 1070?▾
The GB300 has 288 GB of HBM3e memory. The GTX 1070 has 8 GB of GDDR5 memory.
Can I find GB300 and GTX 1070 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 GTX 1070?▾
The GB300 uses the Blackwell Ultra architecture (2025) while the GTX 1070 uses Pascal (2016). The GB300 delivers 346.2x the FP16 throughput and 46.9x the memory bandwidth of the GTX 1070.