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Graphcore C600 vs Graphcore GC200

The C600 delivers 12% more FP16 throughput than the GC200 (280 vs 250 TFLOPS dense).

C600: Colossus MK2, 2022 GC200: Colossus MK2, 2020
FP16 dense lead
+12%
C600: 280 vs 250 TFLOPS

Specifications

Graphcore logo
C600
Graphcore logo
GC200
Architecture
Colossus MK2Colossus MK2
Launch Year
20222020
Form Factor
PCIe—
Memory
——
Memory Bandwidth
——
TDP
185 W—
Process Node
—7nm

Performance (TFLOPS)

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C600
Graphcore logo
GC200
FP64
No verified data available No verified data available
FP32
No verified data available63 TFLOPS
TF32
No verified data available No verified data available
BF16
No verified data available No verified data available
FP16
280 TFLOPS 250 TFLOPS
FP8
560 TFLOPS No verified data available
FP6
No verified data available No verified data available
FP4
No verified data available No verified data available
INT8
No verified data available No verified data available

FLOPS by Precision

What actually differs

The C600 is the newer part: Colossus MK2, launched in 2022, against the GC200's Colossus MK2 from 2020. Newer architectures typically add lower-precision formats and better throughput per watt, so check the precision rows your workload actually uses.

Dense throughput for the C600 against the GC200: FP16 280 vs 250 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.

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 C600 faster than the GC200?

At FP16 precision the C600 reaches 280 TFLOPS dense against 250 TFLOPS for the GC200. The performance table on this page lists every published precision for both GPUs.

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