GPU MODELS / ALTERNATIVES TO P100
Alternatives to the P100
The P100 was the first deep-learning datacenter GPU - 2016's Pascal flagship, the first with FP16 and HBM2. A decade on it survives at the bottom of catalogs: 16 GB and real bandwidth, but no tensor cores and no support for anything modern frameworks optimize for.
People usually compare the P100 against V100, T4. Prices below are live on-demand published rates from the panel.
LOADING LIVE DATA...
| Alternative | Memory | Bandwidth | Cheapest live rate | Head to head |
|---|---|---|---|---|
| V100 | 16 or 32 GB HBM2 | 900 GB/s | - | P100 vs V100 |
| T4 | 16 GB GDDR6 | 320 GB/s | - | P100 vs T4 |
WHEN EACH ALTERNATIVE WINS
V100
The V100 adds tensor cores and doubles everything that matters for usually a small premium. The P100 is only for code that specifically needs Pascal.
T4
Same 16 GB, two generations newer, with tensor cores. The T4 wins for any ML use.
P100 ALTERNATIVES - FAQ
What is the best alternative to the P100?
It depends on the workload. V100: The V100 was the first GPU with tensor cores and dominated deep-learning training from 2017 to 2020. T4: The T4 is NVIDIA's low-power inference workhorse: a 70-watt single-slot card that became the default cost floor for model serving. Live rates for each are in the table above.
Why look for P100 alternatives?
Anything using tensor-core paths - the P100 predates them entirely.
How much does the P100 cost compared to its alternatives?
Each alternative's current cheapest published rate is listed in the table above; figures recompute hourly from provider-published prices.