SAVRN Model Hub · GLM-5.2-NVFP4
GLM-5.2-NVFP4 GPU Requirements
GLM-5.2-NVFP4 needs about 914 GB of GPU memory at 16-bit, 457 GB at 8-bit and 229 GB at 4-bit: its 381B parameters plus a 20% working margin. The cheapest setup at 16-bit is 4x MI325X from $8.00 an hour, about $5,840 a month around the clock. None of the 9 accelerators the SAVRN Index prices holds it on one card at 16-bit.
Every Accelerator, Every Precision
How many cards of each accelerator the SAVRN Index prices it takes to hold GLM-5.2-NVFP4, and what that many cards cost an hour at the lowest listed on-demand price. Memory needed: 914 GB at 16-bit, 457 GB at 8-bit, 229 GB at 4-bit.
| Accelerator | Memory per card | Lowest price per card | 16-bit | 8-bit | 4-bit |
|---|---|---|---|---|---|
| H100 Voltage Park |
80 GB | $1.99 | More than 8 | 6 cards $11.94/hr |
3 cards $5.97/hr |
| H200 GMI Cloud |
141 GB | $2.60 | 7 cards $18.20/hr |
4 cards $10.40/hr |
2 cards $5.20/hr |
| B200 Vultr |
180 GB | $3.50 | 6 cards $21.00/hr |
3 cards $10.50/hr |
2 cards $7.00/hr |
| GB200 NVL72 GMI Cloud |
186 GB | $8.00 | 5 cards $40.00/hr |
3 cards $24.00/hr |
2 cards $16.00/hr |
| MI300X Vultr |
192 GB | $1.85 | 5 cards $9.25/hr |
3 cards $5.55/hr |
2 cards $3.70/hr |
| MI325X Vultr |
256 GB | $2.00 | 4 cards $8.00/hr |
2 cards $4.00/hr |
1 card $2.00/hr |
| B300 Massed Compute |
268 GB | $6.60 | 4 cards $26.40/hr |
2 cards $13.20/hr |
1 card $6.60/hr |
| GB300 NVL72 Verda |
279 GB | $8.89 | 4 cards $35.56/hr |
2 cards $17.78/hr |
1 card $8.89/hr |
| MI355X Vultr |
288 GB | $2.59 | 4 cards $10.36/hr |
2 cards $5.18/hr |
1 card $2.59/hr |
Running It Around the Clock
| Precision | Cheapest setup | Per hour | Per month (730 hours) |
|---|---|---|---|
| 16-bit | 4x MI325X (Vultr) | $8.00 | $5,840 |
| 8-bit | 2x MI325X (Vultr) | $4.00 | $2,920 |
| 4-bit | 1x MI325X (Vultr) | $2.00 | $1,460 |
One copy of the model on rented cards, busy or idle. Serving more users at once takes more copies or more memory for their contexts.
Questions
How much VRAM does GLM-5.2-NVFP4 need?
About 914 GB at 16-bit; about 457 GB at 8-bit; about 229 GB at 4-bit: the weights plus 20% for the runtime and a short context. A long context needs more.
What is the cheapest GPU setup to run GLM-5.2-NVFP4?
At 16-bit, 4x MI325X from $8.00 an hour, at the lowest on-demand price the SAVRN Index lists.
Can GLM-5.2-NVFP4 run on a single H100?
No. An H100 has 80 GB, and GLM-5.2-NVFP4 needs 229 GB even at 4-bit, so it takes more than one card.
Memory is the weights at that precision plus 20% for the runtime and a short context. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Sep 18, 2026. Setups beyond eight cards, one server, are not listed.