Llama 3 1 Nemotron Ultra 253B V1 — Hardware Requirements & GPU Compatibility
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Llama 3 1 Nemotron Ultra 253B V1 is a 253.4B-parameter open language model from NVIDIA in the Llama 3 family. It supports a context window of up to 131,072 tokens. At BF16 it needs about 557.48 GB of VRAM — see which GPUs and Macs can run it below.
5.0K downloads
352 likesSpecifications
- Publisher
- NVIDIA
- Family
- Llama 3
- Parameters
- 253.4B
- Architecture
- DeciLMForCausalLM
- Context Length
- 131,072 tokens
- Vocabulary Size
- 128,256
- Release Date
- 2025-10-15
- License
- Other
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HuggingFace
How Much VRAM Does Llama 3 1 Nemotron Ultra 253B V1 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 557.5 GB | — | 506.80 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run Llama 3 1 Nemotron Ultra 253B V1?
BF16 · 557.5 GBLlama 3 1 Nemotron Ultra 253B V1 (BF16) requires 557.5 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 725+ GB is recommended. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Llama 3 1 Nemotron Ultra 253B V1?
BF16 · 557.5 GB2 devices with unified memory can run Llama 3 1 Nemotron Ultra 253B V1, including NVIDIA DGX H100.
Decent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does Llama 3 1 Nemotron Ultra 253B V1 need?
Llama 3 1 Nemotron Ultra 253B V1 requires 557.5 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 253.4B × 16 bits ÷ 8 = 506.8 GB
KV Cache + Overhead ≈ 50.7 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF16557.5 GB- Can NVIDIA GeForce RTX 5090 run Llama 3 1 Nemotron Ultra 253B V1?
No — Llama 3 1 Nemotron Ultra 253B V1 requires at least 557.5 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Llama 3 1 Nemotron Ultra 253B V1 on a Mac?
Llama 3 1 Nemotron Ultra 253B V1 requires at least 557.5 GB at BF16, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run Llama 3 1 Nemotron Ultra 253B V1 locally?
Yes — Llama 3 1 Nemotron Ultra 253B V1 can run locally on consumer hardware. At BF16 quantization it needs 557.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of Llama 3 1 Nemotron Ultra 253B V1?
At BF16, the download is about 506.80 GB.
- Which GPUs can run Llama 3 1 Nemotron Ultra 253B V1?
No single consumer GPU has enough VRAM to run Llama 3 1 Nemotron Ultra 253B V1 at BF16 (557.5 GB). Multi-GPU or professional hardware is required.
- Which devices can run Llama 3 1 Nemotron Ultra 253B V1?
2 devices with unified memory can run Llama 3 1 Nemotron Ultra 253B V1 at BF16 (557.5 GB), including NVIDIA DGX A100 640GB, NVIDIA DGX H100. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.