Cambrium runs protein-design inference on Nebius using on-demand GPUs, Nextflow pipelines and NVIDIA NIM microservices. Its protein ML engineer describes structural design, sequence design and folding workloads. Cambrium reports fourfold faster molecule-design iterations, 40% time saved by cutting infrastructure overhead and zero time lost to resource scheduling. It also reports completing work that previously took two to three weeks within one week. The work supports sustainable biomaterials, including proteins used in consumer products.
Cambrium says it brought a new molecule to market in under 24 months. Nebius compares this with an industry norm closer to seven years. Nebius says Cambrium designs entirely new polymers from first principles. Its broader research loop pairs AI-driven molecular design with wet-lab validation to develop sustainable alternatives to petrochemical and animal-derived materials. Nebius describes Cambrium fine-tuning its own biological foundation models on proprietary lab data, verifying predictions at the bench and feeding experimental results back into the models.
Cambrium says it integrated Nebius on-demand GPUs, Nextflow pipelines and NVIDIA NIM microservices into its molecule-design workflow. It reports fourfold faster iterations, 40% time saved and zero time lost to resource scheduling. The accompanying transcript reports completing work that previously took two to three weeks within one week.
Cambrium · GPU workflow announcement13 Aug 2026 · Cambrium · Web pageCambrium says it integrated Nebius on-demand GPUs, Nextflow pipelines and NVIDIA NIM microservices into its molecule-design workflow. It reports fourfold faster iterations, 40% time saved and zero time lost to resource scheduling. The accompanying transcript reports completing work that previously took two to three weeks within one week.
Nebius Protein-design customer account
14 Jul 2026 · Nebius · Web page
Nebius says Cambrium uses its on-demand GPUs, Nextflow pipelines and NVIDIA NIM microservices for protein design. It reports fourfold faster campaigns and reduced infrastructure overhead. It says Cambrium designs entirely new polymers from first principles, describes its biological foundation models and experimental feedback loop, and compares its molecule-to-market timeline of under 24 months with an industry norm closer to seven years.
Nebius Protein-design customer account14 Jul 2026 · Nebius · Web pageNebius says Cambrium uses its on-demand GPUs, Nextflow pipelines and NVIDIA NIM microservices for protein design. It reports fourfold faster campaigns and reduced infrastructure overhead. It says Cambrium designs entirely new polymers from first principles, describes its biological foundation models and experimental feedback loop, and compares its molecule-to-market timeline of under 24 months with an industry norm closer to seven years.
Nebius Cambrium · full customer video
29 Jun 2026 · Nebius · Video
1:45–2:24: Cambrium’s protein ML engineer describes deploying design and folding models with Nebius and NVIDIA NIM inference microservices. The full 3:27 audiovisual recording was reviewed.
Nebius Cambrium · full customer video29 Jun 2026 · Nebius · Video · Starts at 1:451:45–2:24: Cambrium’s protein ML engineer describes deploying design and folding models with Nebius and NVIDIA NIM inference microservices. The full 3:27 audiovisual recording was reviewed.
Cambrium is a Berlin biotechnology company that uses AI and molecular design to develop and manufacture protein ingredients and other biomaterials. It supplies ingredients to personal-care brands and formulators, while developing materials for applications including apparel, footwear, coatings and foams. Its personal-care products include NovaColl, a bioidentical collagen peptide for skincare; RevaBond, a hair bond-repair ingredient; EvoSance, a hair-rejuvenation ingredient; and LumaCell, an active positioned around cellular longevity. Its technology platform works across peptides, enzymes and polymers.
AI-designed proteins and sustainable biomaterials · Health
How they use Nebius AI Cloud
Cambrium runs protein-design inference on Nebius using on-demand GPUs, Nextflow pipelines and NVIDIA NIM microservices. Its protein ML engineer describes structural design, sequence design and folding workloads. Cambrium reports fourfold faster molecule-design iterations, 40% time saved by cutting infrastructure overhead and zero time lost to resource scheduling. It also reports completing work that previously took two to three weeks within one week. The work supports sustainable biomaterials, including proteins used in consumer products.
Cambrium says it brought a new molecule to market in under 24 months. Nebius compares this with an industry norm closer to seven years. Nebius says Cambrium designs entirely new polymers from first principles. Its broader research loop pairs AI-driven molecular design with wet-lab validation to develop sustainable alternatives to petrochemical and animal-derived materials. Nebius describes Cambrium fine-tuning its own biological foundation models on proprietary lab data, verifying predictions at the bench and feeding experimental results back into the models.
Cambrium says it integrated Nebius on-demand GPUs, Nextflow pipelines and NVIDIA NIM microservices into its molecule-design workflow. It reports fourfold faster iterations, 40% time saved and zero time lost to resource scheduling. The accompanying transcript reports completing work that previously took two to three weeks within one week.
Cambrium · GPU workflow announcement13 Aug 2026 · Cambrium · Web pageCambrium says it integrated Nebius on-demand GPUs, Nextflow pipelines and NVIDIA NIM microservices into its molecule-design workflow. It reports fourfold faster iterations, 40% time saved and zero time lost to resource scheduling. The accompanying transcript reports completing work that previously took two to three weeks within one week.
Nebius Protein-design customer account
14 Jul 2026 · Nebius · Web page
Nebius says Cambrium uses its on-demand GPUs, Nextflow pipelines and NVIDIA NIM microservices for protein design. It reports fourfold faster campaigns and reduced infrastructure overhead. It says Cambrium designs entirely new polymers from first principles, describes its biological foundation models and experimental feedback loop, and compares its molecule-to-market timeline of under 24 months with an industry norm closer to seven years.
Nebius Protein-design customer account14 Jul 2026 · Nebius · Web pageNebius says Cambrium uses its on-demand GPUs, Nextflow pipelines and NVIDIA NIM microservices for protein design. It reports fourfold faster campaigns and reduced infrastructure overhead. It says Cambrium designs entirely new polymers from first principles, describes its biological foundation models and experimental feedback loop, and compares its molecule-to-market timeline of under 24 months with an industry norm closer to seven years.
Nebius Cambrium · full customer video
29 Jun 2026 · Nebius · Video
1:45–2:24: Cambrium’s protein ML engineer describes deploying design and folding models with Nebius and NVIDIA NIM inference microservices. The full 3:27 audiovisual recording was reviewed.
Nebius Cambrium · full customer video29 Jun 2026 · Nebius · Video · Starts at 1:451:45–2:24: Cambrium’s protein ML engineer describes deploying design and folding models with Nebius and NVIDIA NIM inference microservices. The full 3:27 audiovisual recording was reviewed.
Cambrium is a Berlin biotechnology company that uses AI and molecular design to develop and manufacture protein ingredients and other biomaterials. It supplies ingredients to personal-care brands and formulators, while developing materials for applications including apparel, footwear, coatings and foams. Its personal-care products include NovaColl, a bioidentical collagen peptide for skincare; RevaBond, a hair bond-repair ingredient; EvoSance, a hair-rejuvenation ingredient; and LumaCell, an active positioned around cellular longevity. Its technology platform works across peptides, enzymes and polymers.
