Specifications Compared
| Spec | B300 | GTX-1070 |
|---|---|---|
| TDP | 1200W | 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
Key spec disparities reveal profound real-world implications. The B300's 12000 GB/s bandwidth versus the GTX 1070 Ti's 256 GB/s supports batch sizes thousands of times larger, critical for efficient AI training where data throughput bottlenecks older cards. In FP16 performance, the B300 achieves 2250 TFLOPS compared to 8.9 TFLOPS on the GTX 1070 Ti, accelerating mixed-precision training by over 250 times. The B300's FP16 to FP32 ratio of 25:1 optimizes low-precision AI workloads like inference, while the GTX 1070 Ti's 1:1 parity suits general compute but falters in modern deep learning. VRAM difference is stark: 288 GB allows full-model loading for LLMs on B300, versus sub-10 GB limits on GTX 1070 Ti forcing heavy quantization or CPU offload. TDP reflects scale: B300's 1200W powers enterprise clusters via NVLink, unlike the GTX 1070 Ti's 180W PCIe desktop fit.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B300 SXM6
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA B300 SXM6 262GB VRAM | 262GB | 0 vCPU 0GB RAM | 🌍global | $7.39/GPU/hr | |||
 Scaleway | 8×NVIDIA B300 SXM6 262GB VRAM | 262GB | 224 vCPU 3840GB RAM 22352GB Storage | Paris | $8.73/GPU/hr $69.84/hr total (8×) | Available |
When to Choose the B300 SXM6
Opt for the B300 SXM6 in demanding AI scenarios such as training large language models requiring 288 GB VRAM or 2250 TFLOPS FP16 throughput. Its 12000 GB/s bandwidth and NVSwitch interconnect excel in multi-GPU clusters for hyperscale inference. Cloud availability from $2.45 per hour suits bursty, high-compute needs without upfront hardware costs.
When to Choose the GTX 1070 Ti
Select the GTX 1070 Ti for budget-conscious desktop gaming or lightweight legacy applications fitting within 8 GB VRAM and 8.9 TFLOPS FP32. Its 180W TDP and PCIe form factor integrate easily into consumer PCs without data center infrastructure. Absence of cloud pricing favors owned hardware for infrequent, low-intensity tasks like basic image processing.
Use Cases
The B300's 288 GB HBM3e VRAM and 2250 TFLOPS FP16 handle massive models and large batches infeasible on the GTX 1070 Ti's 8 GB limit. Bandwidth of 12000 GB/s ensures efficient scaling.
B300's FP8 at 4500 TFLOPS and high bandwidth support high-throughput serving. GTX 1070 Ti's 8.9 TFLOPS cannot sustain production-scale queries.
288 GB VRAM fits full parameter sets for fine-tuning large models, unlike GTX 1070 Ti's constraints requiring excessive quantization.
B300 accelerates diffusion models with superior FP16 and memory for high-resolution batches. GTX 1070 Ti suffices only for tiny images at 8 GB VRAM.
B300's 90 TFLOPS FP32 and NVLink excel in simulations needing vast memory. GTX 1070 Ti's 8.9 TFLOPS limits to small-scale problems.
Frequently Asked Questions
What is the VRAM difference between B300 SXM6 and GTX 1070 Ti?▾
The B300 SXM6 provides 288 GB HBM3e VRAM, while the GTX 1070 Ti has 8 GB GDDR5X. This 36-fold disparity allows B300 to load enormous models without swapping. GTX 1070 Ti suits only small datasets.
How do FP16 performances compare?▾
B300 SXM6 delivers 2250 TFLOPS FP16 versus 8.9 TFLOPS on GTX 1070 Ti. This yields over 250 times faster AI training on B300. Pascal architecture limits GTX 1070 Ti in modern precision tasks.
What are the memory bandwidth specs?▾
B300 SXM6 offers 12000 GB/s, dwarfing GTX 1070 Ti's 256 GB/s by nearly 47 times. Higher bandwidth on B300 supports larger batches in deep learning. GTX 1070 Ti bottlenecks at scale.
Is cloud pricing available for these GPUs?▾
B300 SXM6 rents from $2.45 per hour averaging $6.44 across 7 providers. No live cloud offers exist for GTX 1070 Ti. B300 fits on-demand AI needs.
What are the TDP and form factors?▾
B300 SXM6 consumes 1200W in SXM form with NVLink. GTX 1070 Ti uses 180W in PCIe. B300 targets servers, GTX 1070 Ti desktops.
Which is better for AI training?▾
B300 SXM6 excels with 288 GB VRAM and 2250 TFLOPS FP16 for large-scale training. GTX 1070 Ti's 8 GB and 8.9 TFLOPS restrict to toy models.
Which is cheaper to rent, the B300 or the GTX 1070?▾
Cloud rental prices for both the B300 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 B300 have compared to the GTX 1070?▾
The B300 has 288 GB of HBM3e memory. The GTX 1070 has 8 GB of GDDR5 memory.
Can I find B300 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 B300 and the GTX 1070?▾
The B300 uses the Blackwell Ultra architecture (2025) while the GTX 1070 uses Pascal (2016). The B300 delivers 346.2x the FP16 throughput and 46.9x the memory bandwidth of the GTX 1070.