Iris Pro — Hardware Requirements & GPU Compatibility
Chat
Iris Pro is a 403.4B-parameter open language model from AllSpark-Research. It supports a context window of up to 262,144 tokens. At BF16 it needs about 807.22 GB of VRAM — see which GPUs and Macs can run it below.
Iris Pro runs on a multi-GPU server
BF16 needs ~807.4 GB · about 7× H200 SXM 141 GB
Apache 2.0
Not set up for it?
Reference GPU · RTX 4090 24 GB
Estimates, ±20% · how we estimate
Run Iris Pro
One recommended way. Every other method, OS and quant is in the step-by-step guide.
Recommended
vllm serve AllSpark-Research/Iris-pro --max-model-len 16384 --tensor-parallel-size 8Size the nodes from the table above
Download: Weights on Hugging Face
Other ways
each opens step-by-stepRun in cloud
Rent 7× H200 SXM · BF16
- Estimated hourly price
- ~$25.13/hr
- est., whole server
- GPUs
- 7 GPUs
- 987 GB of VRAM
How Much VRAM Does Iris Pro Need?
Select a quantization level; the listed hardware adheres to it.
| Quantization | VRAM | +32K | Runs on | |
|---|---|---|---|---|
| 807.2 GB | 807.6 GB | 16-bit · bfloat — Brain floating point 16 — preferred for training | Runs on 7× H200 SXM 141 GB |
Selected BF16
Brain floating point 16807.4GBat 16K context
- Weights
- 806.8 GB
- KV cache
- 0.3 GB
- Overhead
- 0.3 GB
Server-class: ~807.4 GB at 16K context · about 7× H200 SXM 141 GB
Which Hardware Can Run Iris Pro?
BF16 · 807.2 GBIris Pro (BF16) requires 807.2 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 1050+ GB is recommended. Using the full 262K context window can add up to 3.9 GB, bringing total usage to 811.1 GB. No consumer GPU has enough memory.
Needs server-class hardware
Iris Pro runs on a multi-GPU server · BF16 needs ~807.4 GB
| Hardware | Quant | Memory | Context | Hardware page | |
|---|---|---|---|---|---|
| 7× H200 SXM 141 GB · 987 GB | BF16 | 807.4 GB | 256K ctx | H200 SXM → | BF16 · 807.4 GB · 256K ctx |
| 5× B200 192 GB · 960 GB | BF16 | 807.4 GB | 256K ctx | B200 → | BF16 · 807.4 GB · 256K ctx |
By VRAM tier · typical GPUs and Macs at BF16
Consumer GPUs (up to 32 GB) and Macs up to 512 GB: too small for this model (needs ≥ 807.4 GB)8 GB tier →12 GB tier →16 GB tier →24 GB tier →Macs →
Similar models
6| Model | Score | VRAM | tok/s | Why it is similar |
|---|---|---|---|---|
| Qwen3.5 397B A17BAlibaba | 113.0 | 242.6 GB | —needs > 24 GB | same size |
| MiniMax M3MiniMax | 112.5 | 258 GB | —needs > 24 GB | same size |
| Llama 4 Maverick 17B 128E InstructMeta | 87.1 | 272.7 GB | —needs > 24 GB | same size |
| Llama 3.1 405B InstructMeta | 83.2 | 275.6 GB | —needs > 24 GB | same size |
| Intern S2 397BInternLM | — | 242.6 GB | —needs > 24 GB | same size |
| Ornith 1.5 397Bornith-ai | — | 242.6 GB | —needs > 24 GB | same size |
Specifications
- Publisher
- AllSpark-Research
- Parameters
- 403.4B
- Active parameters
- 24.4B per token
- Architecture
- Qwen3_5MoeForConditionalGeneration
- Context Length
- 262,144 tokens
- Vocabulary Size
- 248,320
- Release Date
- 2026-09-01
- License
- Apache 2.0
Frequently Asked Questions
How much VRAM does Iris Pro need?
Iris Pro requires 807.2 GB of VRAM at BF16. Full 262K context adds up to 3.9 GB (811.1 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 403.4B × 16 bits ÷ 8 = 806.8 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
Fit ratings and hardware model lists check this model with room for a 16K-token context, which needs a little more memory.
KV Cache + Overhead ≈ 4.3 GB (at full 262K context)
VRAM usage by quantization
Can NVIDIA GeForce RTX 5090 run Iris Pro?
No — Iris Pro requires at least 807.2 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
Can I run Iris Pro on a Mac?
Iris Pro requires at least 807.2 GB at BF16. None of the 146 Macs we list has that much usable memory (the largest has 508.5 GB after macOS overhead).
Can I run Iris Pro locally?
Yes — Iris Pro can run locally on consumer hardware. Popular tools include Ollama, LM Studio, and llama.cpp.
What's the download size of Iris Pro?
At BF16, the download is about 806.80 GB.
Which GPUs can run Iris Pro?
No single consumer GPU has enough VRAM to run Iris Pro at BF16 (807.2 GB). Multi-GPU or professional hardware is required.
Which devices can run Iris Pro?
Iris Pro requires at least 807.2 GB at BF16, which exceeds the usable memory of every unified-memory device we list (the largest has 508.5 GB).