Solar Open2 250B — Hardware Requirements & GPU Compatibility
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Solar Open2 250B is a 250.3B-parameter open language model from Upstage in the Solar family. It supports a context window of up to 1,048,576 tokens. At BF16 it needs about 501.08 GB of VRAM — see which GPUs and Macs can run it below.
Solar Open2 250B runs on a 512 GB+ Mac or a multi-GPU server
Best local pick → Mac Studio (M3 Ultra, 512GB) · BF16 · 502.5 GB · ~16 tok/s
Macs from 512 GB (BF16 · ~16 tok/s)
Other
Not set up for it?
Reference GPU · RTX 4090 24 GB
Estimates, ±20% · how we estimate
Run Solar Open2 250B
One recommended way. Every other method, OS and quant is in the step-by-step guide.
Recommended
vllm serve upstage/Solar-Open2-250B --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× H100 SXM · BF16
- Estimated hourly price
- ~$18.83/hr
- est., whole server
- GPUs
- 7 GPUs
- 560 GB of VRAM
How Much VRAM Does Solar Open2 250B Need?
Select a quantization level; the listed hardware adheres to it.
| Quantization | VRAM | +32K | Runs on | |
|---|---|---|---|---|
| 501.1 GB | 504.1 GB | 16-bit · bfloat — Brain floating point 16 — preferred for training | Runs on 7× H100 SXM 80 GB |
Selected BF16
Brain floating point 16502.5GBat 16K context
- Weights
- 500.6 GB
- KV cache
- 1.6 GB
- Overhead
- 0.3 GB
Server-class: ~502.5 GB at 16K context · about 7× H100 SXM 80 GB
Which Hardware Can Run Solar Open2 250B?
BF16 · 501.1 GBSolar Open2 250B (BF16) requires 501.1 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 652+ GB is recommended. Using the full 1049K context window can add up to 102.9 GB, bringing total usage to 604.0 GB. No consumer GPU has enough memory. 1 device with unified memory can run Solar Open2 250B, including Mac Studio (M3 Ultra, 512GB).
Needs server-class hardware
Solar Open2 250B runs on a 512 GB+ Mac or a multi-GPU server · BF16 needs ~502.5 GB
| Hardware | Quant | Memory | Speed | Context | Hardware page | |
|---|---|---|---|---|---|---|
| Mac 512 GB · Mac Studio (M3 Ultra, 512GB) | BF16 | 502.5 GB | ~16 tok/s | 64K ctx | Mac Studio → | BF16 · 502.5 GB · ~16 tok/s · 64K ctx |
| 7× H100 SXM 80 GB · 560 GB | BF16 | 502.5 GB | — | 16K ctx | H100 SXM → | BF16 · 502.5 GB · 16K ctx |
| 4× H200 SXM 141 GB · 564 GB | BF16 | 502.5 GB | — | 64K ctx | H200 SXM → | BF16 · 502.5 GB · 64K ctx |
| 3× B200 192 GB · 576 GB | BF16 | 502.5 GB | — | 128K ctx | B200 → | BF16 · 502.5 GB · 128K ctx |
Also: Mac Studio (M3 Ultra, 512GB) · NVIDIA DGX A100 640GB · NVIDIA DGX H100
By VRAM tier · typical GPUs and Macs at BF16
Consumer GPUs (up to 32 GB) and Macs up to 256 GB: too small for this model (needs ≥ 502.5 GB)8 GB tier →12 GB tier →16 GB tier →24 GB tier →Macs →
Similar models
4| Model | Score | VRAM | tok/s | Why it is similar |
|---|---|---|---|---|
| Inkling SmallThinking Machines | 119.6 | 162.7 GB | —needs > 24 GB | same size |
| Qwen3 VL 235B A22B InstructAlibaba | — | 143.3 GB | —needs > 24 GB | same size |
| DeepSeek V2.5 1210DeepSeek | — | 142.9 GB | —needs > 24 GB | same size |
| Llama 3 1 Nemotron Ultra 253B V1NVIDIA | — | 564.2 GB | —needs > 24 GB | same size |
Specifications
- Publisher
- Upstage
- Family
- Solar
- Parameters
- 250.3B
- Active parameters
- 14.7B per token
- Architecture
- SolarOpen2ForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 196,608
- Release Date
- 2026-07-22
- License
- Other
Frequently Asked Questions
How much VRAM does Solar Open2 250B need?
Solar Open2 250B requires 501.1 GB of VRAM at BF16. Full 1049K context adds up to 102.9 GB (604.0 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 250.3B × 16 bits ÷ 8 = 500.6 GB
KV Cache + Overhead ≈ 0.5 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 ≈ 103.4 GB (at full 1049K context)
VRAM usage by quantization
Can NVIDIA GeForce RTX 5090 run Solar Open2 250B?
No — Solar Open2 250B requires at least 501.1 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
Can I run Solar Open2 250B on a Mac?
Yes — Mac Studio (M3 Ultra, 512GB) and above can run Solar Open2 250B. Apple Silicon uses unified memory, so the model shares RAM with the system. At BF16 you need at least 501.1 GB of usable unified memory (RAM minus macOS overhead).
Can I run Solar Open2 250B locally?
Yes — Solar Open2 250B can run locally on consumer hardware. Popular tools include Ollama, LM Studio, and llama.cpp.
What's the download size of Solar Open2 250B?
At BF16, the download is about 500.58 GB.
Which GPUs can run Solar Open2 250B?
No single consumer GPU has enough VRAM to run Solar Open2 250B at BF16 (501.1 GB). Multi-GPU or professional hardware is required.
Which devices can run Solar Open2 250B?
1 device with unified memory can run Solar Open2 250B at BF16 (501.1 GB), including Mac Studio (M3 Ultra, 512GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.