Can I Run GLM-4.7 / GLM-Z1 on NVIDIA GeForce RTX 5090?

作者: Jakub Rusinowski · 最后更新: 2026年8月15日

Yes, comfortably — you'll have ~12.7 GB of headroom running GLM-Z1 32B (Reasoning) at Q4_K_M (19.3 GB, ~64 tok/s (est.)) with room for up to 32K context.

See what else this hardware can run →

购买此硬件 NVIDIA GeForce RTX 5090 32GB — 32 GB VRAM · 575 W board power立即云端部署 RunPod 上的 RTX 5090

或在 Vast.ai 比较

作为亚马逊联盟成员,我们从符合条件的购买中获得收入。云 GPU 链接为推荐链接——我们可能获得佣金,您无需额外付费。

联盟营销声明: 本页部分链接为联盟推广链接——如果你通过它们购买,LLM Configurator 可能会获得佣金,而你无需支付任何额外费用。作为亚马逊联盟成员(Amazon Associate),LLM Configurator 会从符合条件的购买中获得收益。

NVIDIA GeForce RTX 5090 32GB
32 GB VRAM · 575 W board power
2026年价格波动较大——请以当前商品页价格为准。
在亚马逊查看价格

NVIDIA GeForce RTX 5090 Specs

VRAM32 GB
Memory Bandwidth1792 GB/s

GLM-Z1 32B (Reasoning) on the NVIDIA GeForce RTX 5090: VRAM by quantization

QuantVRAM neededFits 32 GB?Max contextWhole PC
F1665.7 GB✗ No——
Q8_035.7 GB✗ No—Build for this
Q6_K28 GB✓ Yes16K—
Q5_K_M24.4 GB✓ Yes32K—
Q4_K_M21 GB✓ Yes32KBuild for this
Q3_K_M15.4 GB✓ Yes64K—
Q2_K12.2 GB✓ Yes64K—

Assumes a 4K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 32 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 5090: 8K 22 GB · 32K 27.5 GB · 125K 49 GB ✗. Past 125K it no longer fits 32 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.

No compatible GPU? GLM-Z1 32B (Reasoning) on 32 GB of system RAM, CPU only: runs comfortably.

GLM-4.7 / GLM-Z1 Sizes That Fit the NVIDIA GeForce RTX 5090

GLM-Z1 32B (Reasoning)Q4_K_M · 19.3 GB · ~64 tok/s (est.)
GLM-4.7-Flash 30B-A3BQ4_K_M · 18.1 GB · ~249 tok/s (est.)
GLM-4 9BQ4_K_M · 5.4 GB · ~161 tok/s (est.)
Buy vs. rent GLM-4.7 / GLM-Z1
Buy the GPU
~$1,999
NVIDIA GeForce RTX 5090 · MSRP
Rent by the hour
from $0.34/hr
RTX 4090 (24 GB) class

At 2 hrs/day, buying (~$1,999) beats renting at $0.34/hr after about 8.2 years.

Affiliate links — we may earn a commission if you sign up, at no extra cost to you.

RunPod $0.34/hr
Rent on RunPod →
Vast.ai $0.35/hr · typical low · varies
Rent on Vast.ai →

Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.

FAQ

Is the NVIDIA GeForce RTX 5090 enough to run GLM-4.7 / GLM-Z1 locally?

Yes, comfortably — you'll have ~12.7 GB of headroom running GLM-Z1 32B (Reasoning) at Q4_K_M (19.3 GB, ~64 tok/s (est.)) with room for up to 32K context.

What's the best GLM-4.7 / GLM-Z1 size for the NVIDIA GeForce RTX 5090?

GLM-Z1 32B (Reasoning) at Q4_K_M quantization (19.3 GB), estimated ~64 tokens/sec, up to 32K context.

Every GLM-4.7 / GLM-Z1 size on the NVIDIA GeForce RTX 5090

SizeVRAMVerdictSpeed
GLM-Z1 32B (Reasoning)19.3 GBRuns~64 tok/s
GLM-4.7-Flash 30B-A3B18.1 GBRuns~249 tok/s
GLM-4 9B5.4 GBRuns~161 tok/s

GLM-4.7 / GLM-Z1 on Other GPUs

Popular Models on the NVIDIA GeForce RTX 5090

VRAM Tier

Troubleshooting

Buying Guide

← Can I Run It? | GLM-4.7 / GLM-Z1 Model Page | NVIDIA GeForce RTX 5090 GPU Page | Check Your Hardware