Gemma 4 E2B on NVIDIA Grace Blackwell Ultra GB300

Yes — Grace Blackwell Ultra GB300 runs Gemma 4 E2B excellently at Q8_0 — 500 tok/s. 288 GB VRAM with plenty of headroom.

Model Size

5.1B

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 E2B 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

5.1B model. Q8_0 4.97GB on 288GB discrete_gpu.

About Gemma 4 E2B

Gemma 4 E2B (5.1B) is a chat, coding model. Gemma 4's compact edge model. 5.1B total parameters with 2.3B effective via Per-Layer Embeddings. Supports text, image, audio, and video input. Runs on practically any dedicated GPU with 4 GB of VRAM or more. Successor to Gemma 3 4B with measurably better reasoning and multimodal capabilities. Apache 2.0 licensed.

View all Gemma 4 E2B 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.