GPU OBJECT :: source-gpu-geforce-rtx-4070-super

GeForce RTX 4070 SUPER

Evidence-first hardware detail for local AI.

SOURCE_OBSERVEDSOURCE CANDIDATE
12GB
FAST MEMORY
21GB/s
BANDWIDTH
PRICE
OBSERVATION
← All GPUsSpecsMarketVariantsModel fitPerformanceSoftwarePros / ConsCompareSources

DIRECT ANSWER

GeForce RTX 4070 SUPER provides 12 GB of fast memory, 21 GB/s of memory bandwidth, 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.

Fast memory / VRAM12 GBSOURCE_OBSERVED
Memory typeGDDR6XSOURCE_OBSERVED
Memory bus192 bitSOURCE_OBSERVED
Memory bandwidth21 GB/sSOURCE_OBSERVED
InterfacePCI Express 4.0SOURCE_OBSERVED
Graphics processorGeForce RTX 4070 SUPERSOURCE_OBSERVED
Processor familyNVIDIASOURCE_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
ASUS90YV0K82-M0NA004711387438947, 0197105442962PCI Express 4.0750 W1x 16-pin267 × 51 × 134 mmDP 3 · HDMI 1
GIGABYTEGV-N407SGAMING OC-12GD4719331354152PCI Express 4.0700 W1x 16-pin300 × 58 × 130 mmDP 3 · HDMI 1

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: 21 GB/s

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

  • 12 GB of fast memory
  • 21 GB/s evidenced memory bandwidth

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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