Gemma 4 E4B on NVIDIA Grace Blackwell Ultra GB300

Yes — Grace Blackwell Ultra GB300 runs Gemma 4 E4B excellently at Q8_0 — 500 tok/s. 288 GB VRAM with plenty of headroom.

Model Size

Device VRAM

288 GB

Bandwidth

8000 GB/s

Quantization

Q8_0

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for Gemma 4 E4B on NVIDIA Grace Blackwell Ultra GB300 at Q8_0. This is the best supported pairing we can stand behind today.

Quantization	Speed	TTFT	Fits in VRAM	Rating	Confidence
Q8_0	500 tok/s	40ms	✓ Yes	Excellent	estimated

Notes

Q8_0

8.0B model. Q8_0 8.03GB on 288GB discrete_gpu.

About Gemma 4 E4B

Gemma 4 E4B (8B) is a chat, coding, reasoning model. Gemma 4's mid-range edge model. 8B total parameters with 4.5B effective. Full multimodal: text, image, audio, and video. 52% LiveCodeBench v6 and 42.5% AIME 2026 put its reasoning and coding above most models at this size. Fits comfortably on 8 GB GPUs at Q4_K_M. Apache 2.0 licensed.

View all Gemma 4 E4B hardware options →

About NVIDIA Grace Blackwell Ultra GB300

NVIDIA Grace Blackwell Ultra GB300 has 288 GB at 8000 GB/s. Street price: $30,000.

See all models NVIDIA Grace Blackwell Ultra GB300 can run →

Estimate method: Estimated from model architecture, quantization size, and device bandwidth. Reference hardware source: huggingface.co (2026-04-04)

Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.