Can the RTX 5090 Run Gemma 2?
Yes — comfortably for 9B FP16. The 5090’s 32 GB also fits Gemma 2 27B at INT4 with reasonable context, making it a flexible single-card choice for the Gemma family.
YesThe RTX 5090 (32 GB) runs Gemma 2 9B at FP16 with 12 GB of VRAM headroom for KV cache and concurrent batching.
Detailed Breakdown
The RTX 5090 with 32 GB of GDDR7 is the best single-GPU host we offer for Gemma 2:
- Gemma 2 2B — trivially fits, 4 GB FP16. Lots of room for batching.
- Gemma 2 9B FP16 — 18 GB, comfortable fit with full 8K context.
- Gemma 2 27B FP16 — 54 GB needed, doesn’t fit.
- Gemma 2 27B INT4 (AWQ) — 16 GB. Fits with KV cache room.
Throughput
- Gemma 2 9B FP16 — ~620 tok/s aggregate, ~50 tok/s single-stream
- Gemma 2 9B FP8 — ~1,000 tok/s aggregate
- Gemma 2 27B INT4 — ~280 tok/s aggregate, ~22 tok/s single-stream
Frequently Asked Questions
The questions buyers actually ask before committing to a GPU server.
Gemma 2 27B at FP16?
Doesn’t fit the 5090 (54 GB needed). Use a 6000 Pro or 2× 5090 in tensor parallel.
Best precision for Gemma 2 9B?
FP8 if Blackwell — best balance of quality, speed, and KV cache headroom.
Function calling on Gemma 2?
Limited native support. Use prompt-engineered tool use with structured output.
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