NVIDIA RTX Spark N1 (128GB Unified)
128 GB Unified · 240 GB/s
From
TBA
Pricing not announced
Unified Memory
128 GB
Bandwidth
240 GB/s
TDP
90W
Models
0
Tier
Full
The NVIDIA RTX Spark N1 (128GB Unified) with 128 GB unified memory. Performance data is being compiled.
Source: OwnRig methodology
128 GB
240 GB/s
Unified
90W
5120
18
850 TOPS
Surface Laptop Ultra, ASUS ProArt P16, Dell XPS 16, MSI Prestige N16 Flip AI+
Builder Capability: Full AI Builder
Supports concurrent coding + reasoning + embeddings. Can run 70B models at quantized precision.
Inference Backends
The software stacks that matter most for real-world inference on this device.
CUDA
betaArm Windows CUDA stack is pre-release; verify llama.cpp and GGUF runtimes on shipping hardware.
TensorRT-LLM
betaPrimary NVIDIA path for local agents; no OwnRig tok/s benchmarks on RTX Spark yet.
Windows ML
experimentalRequired for Windows-native models such as Aion 1.0 Plan when GA; not validated for arbitrary GGUF workloads.
Frequently Asked Questions
- What AI models can NVIDIA RTX Spark N1 (128GB Unified) run?
- The NVIDIA RTX Spark N1 (128GB Unified) can run 0 AI models. See the full compatibility table above for speeds and quality ratings.
- Is NVIDIA RTX Spark N1 (128GB Unified) good for AI coding?
- Yes. With 128 GB, the NVIDIA RTX Spark N1 (128GB Unified) supports the Full AI Builder tier: concurrent coding + reasoning + embeddings.
- How much memory does NVIDIA RTX Spark N1 (128GB Unified) have?
- The NVIDIA RTX Spark N1 (128GB Unified) has 128 GB of unified memory with 240 GB/s bandwidth.
- Can NVIDIA RTX Spark N1 (128GB Unified) run 70B models?
- 70B models typically require 24-48 GB of inference memory. The NVIDIA RTX Spark N1 (128GB Unified)'s 128 GB may not be sufficient. Consider a higher-tier device.
- Is NVIDIA RTX Spark N1 (128GB Unified) worth it for AI?
- Pricing for NVIDIA RTX Spark N1 (128GB Unified) has not been announced. It offers 128 GB unified memory, but OwnRig should treat recommendations as provisional until pricing and benchmarks are available.
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