Vivo O V1 — Hardware Requirements & GPU Compatibility
Chat
Vivo O V1 is a 753.3B-parameter open language model from wasmdashai. It supports a context window of up to 1,048,576 tokens. At BF16 it needs about 1510.89 GB of VRAM — see which GPUs and Macs can run it below.
Vivo O V1 runs on a GPU cluster
BF16 needs ~1.5 TB · about 3 nodes of 8× H100 SXM 80 GB
MIT
Not set up for it?
Reference GPU · RTX 4090 24 GB
Estimates, ±20% · how we estimate
Run Vivo O V1
One recommended way. Every other method, OS and quant is in the step-by-step guide.
Recommended
vllm serve wasmdashai/vivo-o-v1 --max-model-len 16384 --tensor-parallel-size 8 --pipeline-parallel-size <nodes>Size the nodes from the table above
Download: Weights on Hugging Face
Other ways
each opens step-by-stepRun in cloud
Rent 3× 8-GPU H100 SXM nodes · BF16
- Estimated hourly price
- ~$64.56/hr
- est., whole cluster
- GPUs
- 24 GPUs
- 1.9 TB of VRAM
How Much VRAM Does Vivo O V1 Need?
Select a quantization level; the listed hardware adheres to it.
| Quantization | VRAM | +32K | Runs on | |
|---|---|---|---|---|
| 1510.9 GB | 1509.9 GB | 16-bit · bfloat — Brain floating point 16 — preferred for training | Runs on 3 nodes of 8× H100 SXM |
Selected BF16
Brain floating point 161508.4GBat 16K context
- Weights
- 1506.7 GB
- KV cache
- 1.5 GB
- Overhead
- 0.3 GB
Server-class: ~1.5 TB at 16K context · about 3 nodes of 8× H100 SXM 80 GB
Which Hardware Can Run Vivo O V1?
BF16 · 1510.9 GBVivo O V1 (BF16) requires 1510.9 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 1965+ GB is recommended. Using the full 1049K context window can add up to 90.3 GB, bringing total usage to 1601.2 GB. No consumer GPU has enough memory.
Needs server-class hardware
Vivo O V1 runs on a GPU cluster · BF16 needs ~1.5 TB
| Hardware | Quant | Memory | Context | Hardware page | |
|---|---|---|---|---|---|
| GPU cluster · 3 nodes of 8× H100 SXM 80 GB | BF16 | 1508.4 GB | 32K ctx | H100 SXM → | BF16 · 1508.4 GB · 32K 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 ≥ 1.5 TB)8 GB tier →12 GB tier →16 GB tier →24 GB tier →Macs →
Similar models
2| Model | Score | VRAM | tok/s | Why it is similar |
|---|---|---|---|---|
| GLM 5.3Z.ai | 130.1 | 453.8 GB | —needs > 24 GB | same size |
| DeepSeek V4.1 FlashDeepSeek | 129.5 | 458.4 GB | —needs > 24 GB | same size |
Specifications
- Publisher
- wasmdashai
- Parameters
- 753.3B
- Active parameters
- 41.8B per token
- Architecture
- GlmMoeDsaForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 154,880
- Release Date
- 2026-07-16
- License
- MIT
Frequently Asked Questions
How much VRAM does Vivo O V1 need?
Vivo O V1 requires 1510.9 GB of VRAM at BF16. Full 1049K context adds up to 90.3 GB (1601.2 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 753.3B × 16 bits ÷ 8 = 1506.7 GB
KV Cache + Overhead ≈ 4.2 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 ≈ 94.5 GB (at full 1049K context)
VRAM usage by quantization
Can NVIDIA GeForce RTX 5090 run Vivo O V1?
No — Vivo O V1 requires at least 1510.9 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
Can I run Vivo O V1 on a Mac?
Vivo O V1 requires at least 1510.9 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 Vivo O V1 locally?
Yes — Vivo O V1 can run locally on consumer hardware. Popular tools include Ollama, LM Studio, and llama.cpp.
What's the download size of Vivo O V1?
At BF16, the download is about 1506.66 GB.
Which GPUs can run Vivo O V1?
No single consumer GPU has enough VRAM to run Vivo O V1 at BF16 (1510.9 GB). Multi-GPU or professional hardware is required.
Which devices can run Vivo O V1?
Vivo O V1 requires at least 1510.9 GB at BF16, which exceeds the usable memory of every unified-memory device we list (the largest has 508.5 GB).