RTX Spark: 1 petaflop AI compute
The NVIDIA RTX Spark Superchip delivers 1 petaflop of AI compute with 600GB/s memory bandwidth on a 3-nanometer process.
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NVIDIA RTX Spark: Apple Silicon's First Real Competition?
At 1:01:35 · chapter starts 1:00:00
NVIDIA made its move against Apple Silicon with the RTX Spark Superchip, a 3-nanometer chip combining 20 CPU cores, 6,144 GPU cores, up to 128GB of unified memory, and 1 petaflop of AI compute into a laptop form factor. Jensen Huang pitched it heavily as an agent platform, claiming CUDA support for everything NVIDIA has ever made — but the hosts note he also said 'there are only a billion people' when there are 8 billion. Marques offers the clearest verdict: the window for how good or bad this could be is enormous. The DGX Spark desktop precedent — which climbed from $3,000 to $6,300 — suggests pricing will be steep. Ellis sees a genuine niche in post-production workflows. David reports the Microsoft Surface Ultra companion laptop looks like a MacBook with extra ports.
NVIDIA RTX Spark: Apple Silicon Has Real Competition — Maybe
NVIDIA's RTX Spark Superchip packs 20 CPU cores, 6,144 GPU cores, up to 128GB unified memory, and 1 petaflop of AI compute in a laptop chip. But with zero pricing or benchmarks, and a desktop predecessor that ballooned from $3,000 to $6,300, the hosts are holding their verdict until they get units in hand.
NVIDIA RTX Spark: 128GB unified memory
NVIDIA's RTX Spark Superchip supports up to 128GB of unified memory, starting at 16GB, in a laptop form factor targeting AI workloads.
DGX Spark desktop costs up to $6,300
The DGX Spark desktop AI box launched at $3,000, rose to $4,600, and the Dell version reached $6,300.
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