GPU OBJECT :: source-gpu-nvidia-geforce-4-mx4000-128mb-ddr

Nvidia GeForce 4 MX4000 128MB DDR

Evidence-first hardware detail for local AI.

SOURCE_OBSERVEDSOURCE CANDIDATE
0GB
FAST MEMORY
GB/s
BANDWIDTH
PRICE
OBSERVATION
← All GPUsSpecsMarketVariantsModel fitPerformanceSoftwarePros / ConsCompareSources

DIRECT ANSWER

Nvidia GeForce 4 MX4000 128MB DDR provides 0 GB of fast memory, and reaches at least minimum memory fit for 0 of 9 currently listed BrunoSan models. Runtime/software compatibility for this source-observed object has not yet been promoted from an official vendor source. BrunoSan publishes tokens/s only with model- and runtime-specific benchmark evidence.

01 · HARDWARE

Technical data

Canonical GPU facts. Board-specific differences stay in variant evidence.

Memory typeGDDRSOURCE_OBSERVED
Memory bus64 bitSOURCE_OBSERVED
InterfaceAGP 8xSOURCE_OBSERVED

02 · MARKET

Current market

Observed price

NO PRICE OBSERVATION

No promoted market-price observation is attached yet.

Buying guidance

Verify runtime/driver support with the GPU vendor before purchase; software compatibility is not yet promoted BrunoSan truth.

03 · VARIANTS

Observed board variants

Dimensions, connectors and outputs stay variant-scoped.

VariantGTINPCIePSUPowerDimensionsDisplay
CLUB3DCGN-B188TVAGP 8x

04 · LOCAL AI FIT

Which BrunoSan models fit?

Exact BrunoSan model profiles, not generic 7B/14B buckets. Memory fit does not claim maximum context or runtime compatibility.

ModelMemory targetFitContext
GLM-4.7-Flash18–24 GBDoes not fit fast memoryContext/KV cache unbenchmarked
Nemotron 3.5 Lightning 30B-A3B20–24 GBDoes not fit fast memoryContext/KV cache unbenchmarked
Qwen3-30B-A3B20–24 GBDoes not fit fast memoryContext/KV cache unbenchmarked
Qwen3-Coder-30B-A3B20–24 GBDoes not fit fast memoryContext/KV cache unbenchmarked
Qwen3.5-35B-A3B20–24 GBDoes not fit fast memoryContext/KV cache unbenchmarked
Qwen3.8-27B18–24 GBDoes not fit fast memoryContext/KV cache unbenchmarked
gpt-oss-20b16–24 GBDoes not fit fast memoryContext/KV cache unbenchmarked
Qwen3-Coder-Next 80B-A3B48–64 GBDoes not fit fast memoryContext/KV cache unbenchmarked
gpt-oss-120b64–96 GBDoes not fit fast memoryContext/KV cache unbenchmarked

05 · PERFORMANCE

Evidence before speed claims

Memory bandwidth not promoted.

BENCHMARK TRUTH

No model/runtime-specific benchmark is registered. No tokens/s number is published.

06 · SOFTWARE

Runtime path

Runtime/software compatibility has not yet been promoted from an official vendor source. Hardware fit shown here is memory/spec evidence only.

UNKNOWN

OS: not yet promoted

07 · PROS

Strengths

    08 · CONS

    Limits

    • Fast memory is insufficient for 9 larger model profiles
    • No model/runtime-specific benchmark in the BrunoSan registry yet
    • Software/driver path not yet promoted as BrunoSan truth

    09 · COMPARE

    Nearby hardware choices

    Related by memory capacity first; never a hidden performance ranking.

    10 · SOURCES

    Provenance

    Every displayed fact keeps its evidence scope. Curated SSOT wins over source observations; board-specific Icecat fields are not silently generalized to a GPU family.

    Specs Icecat

    Icecat source observations are provided AS IS and are not used for AI training by BrunoSan.

    Icecat.biz → · AS IS disclaimer →

    LOCAL AI FINDER

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    Model, budget, PSU, OS and software stack belong in the same decision.

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