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gpusClear
When is NVLink Worth It?
nvidiagpusai-workloadsdeveloper-tools
Research

When is NVLink worth it?

Nvidia no longer supports NVLink on consumer GPUs, with the last supported model being the RTX 3090. NVLink bridges currently range in price from $200 to $400, and tests are being conducted to evaluate the benefits of NVLink for AI workloads using dual RTX 3090s.

platform-fools.com

🔥🔥🔥🔥🔥

7 min

7/22/2026

15 years of FP64 segmentation, and why the Blackwell Ultra breaks the pattern

The RTX 5090 delivers 104.8 TFLOPS of FP32 compute and only 1.64 TFLOPS of FP64 compute, resulting in a 64:1 FP64 to FP32 ratio. Over the past fifteen years, this ratio has widened on consumer GPUs, reflecting a growing divide between consumer and enterprise silicon, which is now being challenged by advancements in AI.

nicolasdickenmann.com

🔥🔥🔥🔥🔥

7 min

2/19/2026

When is NVLink worth it?

Nvidia no longer supports NVLink on consumer GPUs, with the last supported model being the RTX 3090. NVLink bridges currently range in price from $200 to $400, and tests are being conducted to evaluate the benefits of NVLink for AI workloads using dual RTX 3090s.

platform-fools.com

🔥🔥🔥🔥🔥

7 min

7/22/2026

15 years of FP64 segmentation, and why the Blackwell Ultra breaks the pattern

The RTX 5090 delivers 104.8 TFLOPS of FP32 compute and only 1.64 TFLOPS of FP64 compute, resulting in a 64:1 FP64 to FP32 ratio. Over the past fifteen years, this ratio has widened on consumer GPUs, reflecting a growing divide between consumer and enterprise silicon, which is now being challenged by advancements in AI.

nicolasdickenmann.com

🔥🔥🔥🔥🔥

7 min

2/19/2026

When is NVLink worth it?

Nvidia no longer supports NVLink on consumer GPUs, with the last supported model being the RTX 3090. NVLink bridges currently range in price from $200 to $400, and tests are being conducted to evaluate the benefits of NVLink for AI workloads using dual RTX 3090s.

platform-fools.com

🔥🔥🔥🔥🔥

7 min

7/22/2026

15 years of FP64 segmentation, and why the Blackwell Ultra breaks the pattern

The RTX 5090 delivers 104.8 TFLOPS of FP32 compute and only 1.64 TFLOPS of FP64 compute, resulting in a 64:1 FP64 to FP32 ratio. Over the past fifteen years, this ratio has widened on consumer GPUs, reflecting a growing divide between consumer and enterprise silicon, which is now being challenged by advancements in AI.

nicolasdickenmann.com

🔥🔥🔥🔥🔥

7 min

2/19/2026

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