Cuda weekly benchmarks #11

	# Run CUDA benchmarks on multiple Hyperstack VMs and return parsed results to Slab CI bot.
	name: Cuda weekly benchmarks

	on:
	schedule:
	# Weekly benchmarks will be triggered each Saturday at 1a.m.
	- cron: '0 1 * * 6'

	jobs:
	run-benchmarks-1-h100:
	name: Run benchmarks (1xH100)
	if: github.repository == 'zama-ai/tfhe-rs'
	uses: ./.github/workflows/benchmark_gpu_integer_common.yml
	with:
	profile: single-h100
	hardware_name: n3-H100x1
	command: integer,integer_multi_bit
	op_flavor: default
	bench_type: latency
	all_precisions: true
	secrets: inherit

	run-benchmarks-2-h100:
	name: Run benchmarks (2xH100)
	if: github.repository == 'zama-ai/tfhe-rs'
	uses: ./.github/workflows/benchmark_gpu_integer_common.yml
	with:
	profile: 2-h100
	hardware_name: n3-H100x2
	command: integer_multi_bit
	op_flavor: default
	bench_type: latency
	all_precisions: true
	secrets: inherit

	run-benchmarks-8-h100:
	name: Run benchmarks (8xH100)
	if: github.repository == 'zama-ai/tfhe-rs'
	uses: ./.github/workflows/benchmark_gpu_integer_common.yml
	with:
	profile: multi-h100
	hardware_name: n3-H100x8
	command: integer_multi_bit
	op_flavor: default
	bench_type: latency
	all_precisions: true
	secrets: inherit

	run-benchmarks-l40:
	name: Run benchmarks (L40)
	if: github.repository == 'zama-ai/tfhe-rs'
	uses: ./.github/workflows/benchmark_gpu_integer_common.yml
	with:
	profile: l40
	hardware_name: n3-L40x1
	command: integer_multi_bit,integer_compression,pbs,ks
	op_flavor: default
	bench_type: latency
	all_precisions: true
	secrets: inherit

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