NVIDIA B300 vs NVIDIA GeForce GTX 1080 — GPU Comparison (Jul 2026)
NVIDIA B300 (288GB HBM3e, 2,250 TFLOPS FP16, Blackwell Ultra) vs NVIDIA GeForce GTX 1080 (8GB GDDR5X, Pascal)
Bottom Line: NVIDIA B300 vs NVIDIA GeForce GTX 1080
NVIDIA B300 comes out ahead overall, leading in 4 of 5 compared categories.
Where NVIDIA B300 leads
- VRAM (288 GB vs 8 GB)
- Memory Bandwidth (8,000 GB/s vs 320 GB/s)
- FP32 (75 TFLOPS vs 8.9 TFLOPS)
- Release Year (2025 vs 2016)
Where NVIDIA GeForce GTX 1080 leads
- TDP (180W vs 1400W)
Choose NVIDIA B300 for Frontier AI training, largest model workloads. Choose NVIDIA GeForce GTX 1080 for Legacy inference, experimentation.
Frequently Asked Questions
Is NVIDIA B300 or NVIDIA GeForce GTX 1080 better?
NVIDIA B300 leads in 4 of 5 compared categories. The right choice still depends on the factors that matter most to you.
Which has a better VRAM, NVIDIA B300 or NVIDIA GeForce GTX 1080?
NVIDIA B300 (288 GB vs 8 GB).
Which has a better Memory Bandwidth, NVIDIA B300 or NVIDIA GeForce GTX 1080?
NVIDIA B300 (8,000 GB/s vs 320 GB/s).
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NVIDIA B300
288GB HBM3e · Blackwell Ultra
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NVIDIA GeForce GTX 1080
8GB GDDR5X · Pascal
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|---|---|---|---|
| Specifications | |||
| Manufacturer | NVIDIA | NVIDIA | |
| Architecture | Blackwell Ultra | Pascal | |
| VRAM | 288 GB HBM3e | 8 GB GDDR5X | |
| Memory Bandwidth | 8,000 GB/s | 320 GB/s | |
| FP16 (Tensor) | 2250.0 TFLOPS | N/A | |
| FP32 | 75.0 TFLOPS | 8.9 TFLOPS | |
| TDP | 1400W | 180W | |
| Release Year | 2025 | 2016 | |
| Segment | Data center | Consumer | |
| Best For | Frontier AI training largest model workloads | Legacy inference experimentation | |
| Cloud Pricing | |||
| Cheapest On-Demand | — | — | |
| Cheapest Spot | — | — | |
| Providers | 1 | 0 | |