Rebellions Rebel100 vs Rebellions ATOM-Max
The Rebel100 delivers 8.0x the FP16 throughput of the ATOM-Max (1,024 vs 128 TFLOPS dense). The Rebel100 also carries 80 GB more memory (144 GB vs 64 GB).
Rebellions Rebel100
Full specs →Rebellions ATOM-Max
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
Dense throughput for the Rebel100 against the ATOM-Max: FP16 1,024 vs 128 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 144 GB against 64 GB, fed at 4.8 TB/s versus 1.0 TB/s. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.
For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.
Frequently asked questions
Is the Rebel100 faster than the ATOM-Max?
At FP16 precision the Rebel100 reaches 1,024 TFLOPS dense against 128 TFLOPS for the ATOM-Max. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the Rebel100 or the ATOM-Max?
The Rebel100 carries 144 GB of memory versus 64 GB for the ATOM-Max. Memory bandwidth is 4.8 TB/s for the Rebel100 and 1.0 TB/s for the ATOM-Max.
How much power do the Rebel100 and the ATOM-Max draw?
The Rebel100 is rated at 600 W TDP and the ATOM-Max at 350 W.
Get Comparison Updates
New GPUs added weekly. Be the first to see how they compare.