DeepSeek-V4.1-Flash on RTX 5090: Does not fit, Rough estimate

DeepSeek-V4.1-Flash VRAM lists each catalog quant at 8,192 tokens.

Conditional memory judgement for one configuration. Change context, quant, or engine and the conclusion can change. Configuration used on this page: FP8 safetensors, 4,096 cached tokens, 1 sequence, engine vllm. Status: Insufficient memory. Software: Not verified..

Insufficient memoryNot verifiedThis result is an estimate, not a measured trace.

Fixed page configuration

DeepSeek-V4.1-Flash official FP8 weights on one catalog RTX 5090 32 GB card, at the same context as the DGX Spark allowlisted combo. Coverage stays partial: this is not a full fit claim.

Technical identifiers and share data
  • Modeldeepseek-v4.1-flash
  • Hardwarenvidia-geforce-rtx-5090-32gb-desktop
  • Quantizationfp8
  • Share fragment for this identityv2.eyJzY2hlbWFWZXJzaW9uIjoyLCJjYWxjdWxhdG9yVmVyc2lvbiI6IjAuMy4wIiwiZGF0YXNldFZlcnNpb24iOiIyMDI2LTEwLTAyLjEiLCJjb25maWciOnsibW9kZWxJZCI6ImRlZXBzZWVrLXY0LjEtZmxhc2giLCJoYXJkd2FyZUlkIjoibnZpZGlhLWdlZm9yY2UtcnR4LTUwOTAtMzJnYi1kZXNrdG9wIiwiZGV2aWNlQ291bnQiOjEsInF1YW50aXphdGlvbklkIjoiZnA4IiwiY29udGV4dFRva2VucyI6NDA5NiwiY29uY3VycmVudFNlcXVlbmNlcyI6MSwiZW5naW5lIjoidmxsbSIsImt2VHlwZSI6ImZwMTYifX0

Memory breakdown

Weight artifact
475.24 GiB (510,286,023,000 bytes)
Raw KV cache
0.31 GiB (335,544,320 bytes)
Engine extras / workspace
0.63 GiB–74.22 GiB
Total estimated demand
476.18 GiB–549.77 GiB
Net calculator budget
30.00 GiB
OS / display reserve
2.00 GiB
Remaining vs net budget
-519.77 GiB–-446.18 GiB

549.77 GiB high estimate vs 30.00 GiB net

Enough memory does not mean this engine, quant, and OS will run. Support does not mean it will be fast.

Other published files on this device

Same model, device and context (4,096 tokens, 1 sequence, FP16 KV). Each row is one published weight-file set with its usual engine, sorted by memory.

QuantizationEngineEstimated memoryFit
FP8 safetensors This pagevllm476.18 GiB–549.77 GiBDoes not fit · Rough estimate

Assumptions that affect this result

Open this combo in the calculatorKV Cache

Related pages

Sources

Calculator

This combo page keeps the route model and device. Customize to change them on the main calculator; the share then keeps that identity.

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Choose a model first, then check a device.

Quantization

Device type

Workload

Context length primarily affects KV cache memory.

Advanced settings
Runtime

Engine and KV cache type for this estimate.

Workload

Overhead scenario and the prefill workspace.

Topology

How the model is split across devices. Memory is not added together.

Replica count is an advanced deployment option. Quantity is nodes or GPUs, not replicas.

Budget

System reserve and safety margin. An empty number keeps the previous value.

GiB (2^30 bytes)

%

Custom model

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Parsed in the browser. The file is not uploaded.

Only huggingface.co, config.json, no token. Private repos are rejected.

Search or pick a catalog checkpoint to see memory demand.

Search or pick a catalog checkpoint to see memory demand.